Trabajos vector en Newark, New Jersey - Page 3Crear alertas

Job DescriptionApplied AI Engineer (AI-Native Marketplace) Location: New York City (on-site, relocation supported) Compensation: USD 170,000 – 230,000 + Equity Hiring: Up to 2 engineers Company: Confidential (represented by Worthland) About the Project Our client is a well-funded, AI-native startup building a real production marketplace in a space that has historically relied on manual workflows and human judgment. The company has achieved clear product–market fit, is growing rapidly with a lean team, and uses AI not as an add-on but as the core decision engine of the business. Their systems directly impact matching quality, speed, and operational efficiency at scale. This is a hands-on role for builders who want to ship AI systems that operate in messy, real-world conditions and materially move business metrics. The Role As an Applied AI Engineer, you will own end-to-end AI systems powering the marketplace: scoring, matching, ranking, recommendations, and internal automation. You will work directly with the founder and operations team. There is no separate ML platform team—you own the full loop, from problem definition through production iteration. This is not a research role and not an infra-only ML position. It is a product-focused, applied AI builder role. Role Split (Approximate) * ~60% Applied AI / ML: model selection, prompting, fine-tuning, evaluation, experimentation * ~40% Product & Engineering: backend services, APIs, data pipelines, product integration First 30 Days (What Success Looks Like) Week 1 * Develop a deep understanding of existing AI systems (scoring, matching, automation) * Identify where models perform well vs. where they fail in production * Partner with the ops team to understand manual overrides and edge cases * Align with the founder on the highest-leverage problems to solve first Weeks 2–4 * Ship meaningful improvements to scoring/matching models and related product features * Begin reducing manual ops load through smarter automation * Take ownership of the AI roadmap, using the founder as a thought partner—not a project manager Key ResponsibilitiesApplied AI & Decision Systems * Build and improve matching, scoring, and ranking systems that directly affect marketplace outcomes * Design explainable and calibratable AI outputs so users can understand and trust decisions * Compare new inputs against historical outcomes to surface meaningful signal * Iterate based on real-world feedback, not just offline metrics Automation & Internal Systems * Replace manual review steps with intelligent AI-driven workflows * Build feedback loops where human overrides improve model performance over time * Identify and surface stuck or anomalous cases requiring human attention Product-Facing AI Features * Generate structured summaries from unstructured data (documents, notes, transcripts) * Build retrieval-based assistants and role-specific AI tools * Ship features that are user-facing, measurable, and tightly integrated into the product Experimentation & Evaluation * Design evaluation frameworks that reflect real business impact, not just model accuracy * Implement experimentation and A/B testing to validate improvements * Make pragmatic tradeoffs (prompt vs. fine-tune, off-the-shelf vs. custom) RequirementsMust-Have * 4+ years of engineering experience with AI/LLM features shipped to production * Experience owning AI systems end-to-end in a real product environment * Hands-on experience with LLM APIs, embeddings, vector databases, and evaluation * Strong backend or full-stack engineering fundamentals * Comfort working with imperfect data and evolving requirements Strong Plus * Experience at an AI-native startup or as a founding / early engineer * Background in recommendation systems, matching, search, or automation * Product intuition and comfort making fast, high-impact decisions * Willingness to be hands-on rather than operating through layers of abstraction Not a Fit If You Primarily: * Work only on ML platforms or infrastructure without owning product features * Focus on research, publishing, or offline experimentation * Require clean datasets and mature infra before shipping * Have only built basic RAG demos as your main AI experience * Prefer large, highly structured organizations Why This Role * High ownership and direct impact on core business metrics * Close collaboration with the founder and decision-makers * AI-first product where models are central, not decorative * Competitive compensation, meaningful equity, and long-term upside Interview Process * Intro Call (30 minutes): High-level screening to assess role fit, hands-on AI experience, and mutual interest in the opportunity and company stage. * Technical Interview (60 minutes): Applied system design discussion focused on a real-world AI problem (e.g. matching, ranking, automation), evaluating practical decision-making and tradeoffs. * Behavioral Deep Dive (60 minutes): Review of past experiences, ownership mindset, and working style in high-autonomy, fast-moving environments. * On-Site (Full Day): Collaborative working session solving real problems with the team to assess technical depth, problem-solving approach, and collaboration in practice.

Job DescriptionAbout Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Role Overview As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services. This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions. Key Responsibilities • Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives., • Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems., • Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs., • Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate., • Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team., • Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders., • Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations., • Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability., • Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.Success in This Role Looks Like, • Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)., • Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows., • Deliveries are production-ready: monitored, testable, documented, and maintainable.Required Qualifications, • 3–8 years of software or AI engineering experience (mid-to-senior)., • 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)., • Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)., • Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices., • Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations., • Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch., • Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)., • Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.Preferred Qualifications, • Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)., • Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management., • Experience with graph databases / knowledge graphs., • Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness). NW3PJq1bzs

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionAbout Us At Vector Media, we’re building the future of Mobility Marketing, where media moves with people, meets them in real life, and makes a lasting impression. In an advertising world cluttered with screens and scrolls, we deliver real-world media with real results. Our high-impact media, including fully wrapped double decker buses and custom designed experiential experiences, turn heads in cities nationwide. And with assets in 50+ markets, we bring campaigns to life across communities, cultures, and coasts. Our experiential team allows us to activate anywhere in the country. Vector Media’s wide variety from double decker buses, light rail, digital bus shelters and a wide variety of experiential assets enables brands to connect with consumers at the street-level in cities, college campuses and sporting events. We connect brands with audiences in the moments that matter most. Founded in 1998, Vector has grown from an OOH disruptor into a full-service platform built on data, creativity, and movement. We call it Marketing in Motion, which brings unique benefits of high impact and efficiency because we bring the advertising to audiences wherever they are. But what truly sets us apart is how we show up: as partners. With our clients. With our media partners. With each other. Through accountability, innovation, and shared ambition, we’re helping brands do more than reach people, we’re helping them move people. What We Value • Accountability: Taking ownership of our actions, learning from mistakes, and earning trust through responsibility., • Growth: Supporting personal and professional development, knowing that when our team members thrive, the company thrives., • Excellence: Always striving for the best possible results and never settling for “good enough”. The VP Brand Partnerships will sell the whole Vector portfolio including Vector Sports and Vector College. The account list will cover all consumer verticals but will have focus on beauty and fashion. Previous experience in these verticals, plus experience in experiential sales is desired. The VP, Brand Partnerships will have an expertise in strategic selling, establish and cultivate relationships through proactive outreach (via phone calls, emails, in person meetings) with prospective customers such as CMO’s, SVP/VP’s Marketing, Brand Managers, Media Directors and Head of Experiential/Events. They will leverage Vector Media’s unique asset offerings and delivery methodologies positioning Vector Media as a media partner of choice within the nationwide markets we serve. This position will monetize all of the Vector portfolio including our fleet of fully wrapped Double Decker buses, public transit and Experiential Assets to brands direct. The VP, Brand Partnerships will also partner with Vector’s National agency team to build comprehensive account plans and collaborate transparently as business potentially moves from client interest to activation with their agency partners. This is a hybrid role based in New York, NY, with 3 days a week in office. Total Compensation Package Range Details: $275,000 - $350,000 including salary ($120,000-$155,000), earned commissions and potential for bonus. The salary and total compensation range is subject to change and may be amended in the future. Experience, education, skills, and other factors are considered when determining the salary and level of position offered. Who You Are: • A quick learner, self-motivated with a strong sense of professionalism, good organizational skills, ability to prioritize, multi-task and meet tight deadlines., • A thorough worker focused on attention to detail., • An entrepreneurial spirit that's motivated to drive business growth., • Bachelor’s degree., • 7-10+ years of media sales experience., • 5-7+ years of experience selling to brand-direct clients (not agencies)., • Strong book of direct clients across full spectrum of industry verticals, • Deep relationships with clients at CMO, Media Director, Brand Manager level, • Proven sales track record activating and retaining new brands (has strong brand-direct clients and can make immediate impact)., • Polished sales, presentation, and communication skills., • Exceptional team player, interested in working as part of a highly coordinated, focused organization., • Attention to delivering the highest level of sales and operational customer service., • Experience in fashion and beauty verticals, • Proactively identify new revenue opportunities; drive account growth and profitability acceleration including new business, up-sell and cross-sell opportunities., • Own extensive client communication, strategic planning and troubleshooting account complications to promote client satisfaction; develop and improve executive level relationships within named account(s)., • Provide thought leadership and consultation on aligning client business needs to products, solutions and services offered., • Drive contract negotiations for business in support of new sales, account growth and contract renewals. Powered by JazzHR 89fLkSF5CS

Job Description Location: New York, NY Our client is a distinguished provider of legal services on a global scale. As an Innovation AI Developer, you will serve as a key member of the client’s Innovation Engineering team, responsible for designing and implementing intelligent, secure, and scalable AI applications to enhance the delivery of legal services and optimize business operations. In this capacity, you will collaborate closely with attorneys, business leaders, data scientists, and infrastructure teams to translate complex legal and operational needs into effective AI solutions with measurable outcomes. You will be involved in the entire AI lifecycle—from initial use case identification through production deployment and system monitoring—utilizing large language models (LLMs), retrieval-augmented generation (RAG), traditional machine learning approaches, and modern cloud architectures to advance efficiency, quality, and informed decision-making. This position offers the opportunity to develop enterprise-level AI capabilities at one of the world’s premier law firms, operating at the forefront of advanced engineering and impactful legal practice. The firm is committed to upholding rigorous performance standards and fostering a culture oriented toward growth. Individuals demonstrating initiative and dedication will be afforded opportunities for increased responsibilities and long-term career advancement within the organization. Must be a U.S. Citizen or Green Card holder - our client cannot accept work visas and/or sponsorships at this time Desired Qualifications and Experience: · Bachelor’s degree in computer science or a related field preferred. · 7+ years of experience in professional services, legal, or technical environments, with demonstrated hands-on experience building and deploying AI applications. · AI Engineering Expertise – Strong Python development skills and experience designing and implementing RAG pipelines, working with vector databases (e.g., Pinecone), and building AI agents and multi-service AI architectures—particularly within Azure environments. · Cloud & DevOps Proficiency – Familiarity with Azure services (e.g., Cognitive Search, Cosmos DB, AI Studio), as well as Docker, Kubernetes, and CI/CD practices that support scalable, production-ready deployments. · Experience designing and maintaining LLM evaluation frameworks (e.g., Promptfoo, OpenAI Evals, LangSmith) and integrating structured and unstructured data sources into AI systems. · Experience operating within environments that require strict adherence to security, privacy, and governance standards for sensitive data. · Business Acumen & Communication – Proven ability to conduct stakeholder discovery, quantify return on investment (ROI), and translate ambiguous challenges into clearly defined AI requirements. · Strong communication skills with the ability to explain complex technical concepts to non-technical audiences. · Legal Domain Exposure (Preferred) – Experience supporting legal use cases such as due diligence, contract review, or legal research, and prior law firm experience. Summary of Responsibilities: · AI Solution Architecture & Development – Collaborate with legal and business stakeholders to identify high-value AI use cases, define measurable success criteria (e.g., efficiency, quality, risk reduction), and architect scalable solutions using Python and modern AI frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LangFlow. · Retrieval-Augmented Generation (RAG) & Intelligent Systems – Design, build, and maintain RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate multi-step workflows and enable sophisticated task orchestration. · Create reusable libraries, patterns, and documentation that support long-term innovation and maintainability across the firm’s AI ecosystem. · Design and maintain LLM evaluation frameworks to measure accuracy, robustness, safety, and alignment to use-case objectives. Ensure AI systems meet firm security, privacy, and governance standards. · Support continuous integration and continuous delivery (CI/CD) workflows, containerization (Docker), and orchestration (Kubernetes) to ensure production readiness. Partner with infrastructure and security teams to support hybrid cloud and on-premise deployments in sensitive data environments. · Serve as a subject matter resource for attorneys and business teams, advising on prompt engineering, model selection, and architecture decisions. Support pilot implementations, user training, and feedback loops to drive adoption and measurable impact. · Evaluate new tools, open-source libraries, and vendor platforms to inform firm AI strategy. Contribute to internal education and thought leadership on AI best practices. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last. You'll be deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure. You'll work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend. You'll also help Trilagen productize our delivery approach as we scale the practice. If you've only ever built agents that run on your laptop, this isn't the role. If you've shipped agentic systems into production cloud environments and know exactly what breaks and why — we want to talk. What you'll own Full-stack agent development You design and build the entire application — not just the AI layer. This means a React or Next.js frontend with streaming, real-time agent UX; a Python or Node.js backend that orchestrates agent logic, manages state, and exposes clean APIs; and containerized, cloud-deployed services that operations teams can actually run. You own the repo, the CI/CD pipeline, the deployment, and the runbook. Multi-cloud deployment Production agent systems on all three major clouds: AWS (Lambda, ECS/Fargate, Bedrock, API Gateway), Oracle OCI (OKE, Functions, AI Services), and Azure (AKS, Azure OpenAI Service, Azure Functions). You understand the tradeoffs between platforms and can advise clients on where to run what and why. LLM integration and model strategy You have deep, hands-on experience with the leading LLM providers and their APIs — Anthropic Claude (Messages API, tool use, streaming, context management), OpenAI (GPT-4o, Assistants API, function calling), and Google Gemini (Gemini Pro/Flash, Vertex AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand how to design systems that do real multi-step work: tool use and function calling patterns, ReAct and plan-and-execute loops, agent-to-agent orchestration and handoffs, human-in-the-loop checkpoints, retry and failure recovery strategies, and cost/latency optimization across long-running agent workflows. Frameworks like LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP) are tools in your toolbox, not the ceiling of your knowledge. Memory and context layer You've designed and implemented memory architectures for production agents: short-term conversational context, long-term persistent memory, RAG pipelines with vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and identity layer This is non-negotiable for our client base. You build the security envelope around every agent system you ship: OAuth 2.0 / OIDC authentication flows, API key lifecycle management, role-based access control enforced within agent workflows, secrets management (AWS Secrets Manager, Azure Key Vault, OCI Vault), audit logging for agent actions, prompt injection defense, and data residency controls. Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements • 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments, • Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini — at the API level, not just via wrappers, • Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design, • Production experience on at least two of: AWS, Azure, OCI — with real deployments, not sandbox accounts, • Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG, • Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards, • Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns, • Okta and/or SailPoint ISC integration experience Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job DescriptionCompany Description Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K–12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more. Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale. Job Description You will architect and implement the core AI pipeline that powers Accel's test creation system. • Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates., • On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together., • Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product., • Strong foundation in software engineering: data structures, APIs, system design, • Proficiency in Python (primary language for AI/ML pipeline work), • Experience with REST APIs and at least one database (PostgreSQL preferred), • Ability to work independently, ask sharp questions, and iterate fast, • Strong debugging and problem-solving instincts, • Demonstrated side projects or shipped code (GitHub portfolio required), • Genuine interest in AI systems and education technology, • Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini, • Experience with NLP pipelines: text chunking, tokenization, semantic search, • Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX), • Experience with image generation APIs or SVG programmatic generation, • Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs, • Cloud platform experience: AWS, GCP, or Vercel for deployment, • Experience with job queues: Celery, Bull, or similar, • Exposure to educational content standards or psychometrics is a bonus Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As an early member of the team, you'll play a key role in shaping the core of our platform and contributing to a team that will scale to 20+ engineers over the next 18 months. You'll build and orchestrate AI agents, explore new UX paradigms, and work on some of the hardest problems in applied AI with meaningful ownership across the stack. Responsibilities | What you will own... Primary responsibilities of this role: • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems.This role is for you if..., • You're a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren't opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.Required Skills & Experiences The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact. Required: • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we're building the NYC hub together; whiteboards > long threads., • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). CCPA disclosure here.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance As an AI Focused Software Engineer, you will build and evolve the data backbone of an agentic AI system leveraging document intelligence, time-series IoT data, and customer activity logs. This is a highly hands-on, end-to-end role for someone who thrives in early-stage ambiguity, is comfortable working close to models and customers, and wants to directly shape how data-driven agents are built and deployed for production. This role will initially focus on the power industry, where your work will directly support the reliable operation of power plants used by millions of people every day. What you will do You will design, implement, and agentic systems across the full lifecycle, from data ingestion and processing to building and tuning models for use by customers in the real world. You’ll work directly with customers and internal stakeholders to understand real problems, translate them into technical solutions, and iterate quickly. You’ll build agentic workflows, document processing pipelines, and sensor data ingestion. You’ll contribute to feature engineering and model experimentation when needed, and own systems in production. You’ll make pragmatic architectural decisions, improve reliability over time, and help define best practices as the team and product scale. Technologies We Use * Python, React * Cloud-native data and GenAI tooling (GCP, VertexAI, etc) * Streaming and messaging systems * Distributed processing frameworks * Data warehouses, lakes, and object storage * Time-series and NoSQL databases * ML and AI tooling (feature stores, vector databases, model pipelines) * Docker, Kubernetes, and infrastructure-as-code tools About You You’re a builder who likes owning problems end to end—from understanding customer needs to shipping and maintaining production systems. You’re comfortable crossing boundaries between software engineering, ML, and backend work, and you’re energized by fast feedback loops and real-world impact. You prefer pragmatic solutions over perfect ones, communicate clearly with technical and non-technical stakeholders, and enjoy helping shape both the product and the engineering culture. Required Skills * 7+ years of experience in software engineering, backend engineering, or adjacent roles * Strong Python skills, proficient with ML packages and distributed backends * Experience building production data pipelines and systems from scratch * Comfort working with both structured and unstructured data * Experience operating systems in production and owning reliability * Ability to work directly with customers or end users to understand requirements * Strong problem-solving skills in ambiguous, fast-moving environments Preferred Skills * Experience with agentic AI systems or similar orchestration frameworks for enterprise-grade reasoning and/or automation * Experience with document processing, NLP, or vector search * Experience with time-series or IoT data * Startup or early-stage product experience * Experience making architectural tradeoffs under real-world constraints Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $140K - $245K

Job DescriptionWhy Choose Us? Novolex is a leading manufacturer of food, beverage, and specialty packaging that supports multiple industries including foodservice, restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors. Novolex manufacturing and sourcing expertise spans a diverse range of substrates including resin, paper, molded fiber, aluminum and more. We provide customers a broad array of stock and customized solutions with 120 product categories, 250 brands and over 39,000 SKUs. Our Sustainability Commitment The Novolex sustainability vision is built upon three pillars: our products, our operations and our people. Each is critically important to our growth and future as a business. These pillars form the foundation of our company-wide commitment to sustainability, helping us achieve our ambitious goals through our wide-ranging initiatives. Job Description This position provides support for the reliability of all automation and control systems throughout the facility. The individual will work closely with all plant personnel to perform tests, diagnostics, repairs, improvements and upgrades to all equipment, instrumentation, process and procedures. Responsibilities: ● Drive a zero EHS incident culture, support and participate in incident investigations to determine root cause and identify preventive actions, correct unsafe conditions and acts immediately, and use every incident or near miss as a teaching moment for others ● Monitor, adjust, calibrate and repair manufacturing equipment, instruments, fixtures, etc. ● Conduct in-depth PLC, HMI, motor and drive troubleshooting and provide effective solutions – Allen Bradley required with at least one other manufacturer (i.e. Mitsubishi, Schneider, GE, Opto 22, etc.) ● Read and modify PLC ladder diagrams ● Perform electrical and electronic installations and modifications including drives and programming controllers ● Working knowledge of AC vector and servo drive technology. ● Understand in-depth electric circuitry, electronics and electromechanical concepts - AC and DC, Sinking / Sourcing, Analog, etc. ● Troubleshoot and maintain Fanuc robotic automation. (Palletizers, Case erectors, Pick and Place) ● Basic understanding of hydraulics, pneumatics and mechanical concepts ● Basic understanding of PC components ● Interpret all levels of drawings, wiring diagrams, schematics, specifications, etc. Knowledge of CAD system (i.e. AutoCAD, Vizio, etc.) ● Stay up to date with the latest state-of-the-art automation and control techniques ● Utilize problem solving techniques including PDCA to solve problems to root cause, implement actions that prevent reoccurrence, improve operations, etc. ● Supply higher level technical assistance to plant shift electrician team ● Provide training to all levels of the organization ● Ability to supervise contractors to minimize scheduled and unscheduled downtimes ● Maintain and manage the engineering department technical procedures, manuals and drawings, including records of as-built equipment and process changes ● Occasional need to work flexible hours. May include weekend and/or holiday work, subject to call-ins Qualifications: ● High school graduate or equivalent required ● Apprenticeship or equivalent training ● Associate’s degree in maintenance or industrial technology preferred ● Minimum five years of industrial maintenance experience with extensive automation and controls work ● Proficient in computer applications including Microsoft applications, Outlook, SAP, etc. ● Knowledge OSHA Electrical Standards, National Electric Code (NEC) ● Strong troubleshooting skills and logic to solve problems to root cause ● Proactive and self-motivated to work effectively with minimal supervision ● Good written and verbal communication skills ● Ability to make decisions under time constraints and tight deadlines ● Able to interact with other associates in a team-oriented environment A reasonable estimate of the current range is $59,500/yr. - $99,100/yr. + bonus + benefits. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. At Novolex, it is not typical for an individual to be hired at the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The benefits for this role include 401(k) plan with company match, comprehensive medical, dental, and vision insurance, flexible spending and health savings accounts, paid vacation and sick days, paid parental leave, paid holidays and wellness program. What You'll Get From UsBenefits With safety as our top priority and a commitment to employee well-being an important focus, we offer comprehensive and competitive benefits that include medical, dental and vision insurance as well as a variety of other well-being resources focused on mental, physical and financial health. Specific benefits and well-being programs may vary depending on where you work. Community Engagement At Novolex, giving back to the local communities that support us is important. Our Focused Giving Program prioritizes support for organizations whose missions promote sustainability initiatives or address food and hunger needs. We also encourage facility level support of activities in the communities where our employees live and work. Training and Development We offer constant opportunities for advancement. From skills development to advanced education programs, training and development programs and courses are available through MyLearning. Programs include company and industry training curricula, support for formal education through the Tuition Reimbursement Program (Non-Union), and a Learning Management System that supports and enhances employee skills at all levels of the organization. Novolex is committed to providing equal employment opportunity in all employment practices, including but not limited to selection, hiring, promotion, transfer, and compensation to all qualified applicants and employees without regard to age, race, color, national origin, sex, pregnancy, sexual orientation, gender identity, religion, handicap or disability, genetics, citizenship status, service member or veteran status, or any other category protected by federal, state, or local law. Any individual who, because of his or her disability, needs an accommodation in connection with an aspect of the Company's application process should contact . You should be proficient in: • Commercial Electrical Expertise, • Electrical Installation, • Electrical Troubleshooting, • Electrical Repair, • OSHA 10-Hour Certification (OSHA 10), • High Voltage Systems, • Pneumatics Troubleshooting, • Powerhouse Operation, • Packaging Machines, • Corrugated Press, • Extrusion Machine, • Programmable Logic Controller (PLC) (Allen Bradley, Mitsubishi, Schneider Electric, Fanuc)

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job DescriptionAbout zaimler AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. About the Job We’re looking for a Forward-Deployed Engineer to join our founding team and bring our AI-native data infrastructure to life in real-world environments. This is a hybrid role blending infrastructure, product, and delivery—you’ll work across systems, tools, and teams to bring new deployments from concept to scale. Think of it as a "jack-of-all-systems" role: one foot in Kubernetes and Ray clusters, the other in semantic pipelines and user-facing use cases. You’ll be a first responder, architect, and operator—deploying zaimler’s semantic infrastructure into dynamic enterprise settings, collaborating closely with ML and infra engineers, and making sure customers get value from day one. This role prefers candidates in or aligned to the Eastern Time Zone (EST) & will require travel onsite to customer locations. What You Will Be Doing • Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud), • Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines., • Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services., • Bridge ML and infra—help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines, • Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on, • Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable., • Interface directly with early customers to understand their environment, workflows, and edge cases.Prior Experience, • 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome), • Deep familiarity with Kubernetes, Docker, Terraform, and Helm, • Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.), • Fluency in at least one scripting language (Python, Bash, Go preferred), • Strong debugging skills across the stack—from network hiccups to memory leaks, • Experience deploying in cloud-native environments (AWS/GCP/Azure), • Comfortable being customer-facing and managing ambiguity in real-time, • Strong sense of ownership and bias toward action in early-stage environmentsNice to Haves, • Experience deploying or integrating LLMs or vector databases, • Background in ML Ops or building/operating data infrastructure at scale, • Familiarity with GPU optimization, multi-tenancy, or air-gapped environments, • Prior startup or zero-to-one deployment experience, • Familiar with Ray Serve, VLLM, or similar frameworks

Job Description Location: New York, NY Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role requiring US Citizenship or Green Card. We are seeking a Legal Practice Technology Data Scientist. This position can be in San Francisco, Los Angeles, Chicago, or New York – relocation assistance is not offered. If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client-focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands-on and client-facing; more than half of your time will be spent directly embedded in active matters. This position sits within the firm’s Innovation Program. Our client upholds strict performance standards and fosters a culture focused on continuous growth. Individuals who exhibit initiative and dedication will be offered opportunities for increased responsibilities and long-term professional advancement within the organization. Must be a U.S. Citizen or Green Card holder – sponsorship is not available Desired Qualifications and Experience: • Bachelor’s degree, • 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment., • Ability to translate complex concepts into client-friendly language., • Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions., • Knowledge of statistical analysis and data modeling., • Demonstrated hands-on experience with Relativity custom development. Deep knowledge in eDiscovery-focused data processing, structured analytics, and related troubleshooting., • Expert-level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design., • Experience in creating data visualizations with hands-on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI., • Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, TensorFlow); advanced SQL proficiency; experience building data pipelines., • Proficiency in front-end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards., • Hands-on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, LangChain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction., • General knowledge of social network analysis, natural language processing, classification algorithms, and image processing., • Familiarity with git, svn, JIRA, or other version control technologies., • Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs)., • Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions)., • Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred. Summary of Responsibilities: Coordination and Execution of In-house Solution Development. You will support the collection of requirements and the design and building of in-house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout. Data Project Service Delivery. You will support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth. Department Initiatives. You will work closely with other data science teams and Legal Practice Technology (“LPT”) leadership to evaluate and test internal solutions and emerging technology. You will serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team’s continuous advancement of its capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description Company Overview With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC Health Department) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team. With grant funds from the Centers for Disease Control and Prevention (CDC), the NYC Health Department is undertaking an initiative to prevent, prepare for, and respond to the expanding multistate outbreak of Influenza A/H5N1 and strengthen readiness for any respiratory disease threat with the potential to result in large, disruptive outbreaks to communities. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant but will work be supervised by the NYC Health Department. This is a grant-funded position ending in January 2027 The Division of Disease Control performs identification, surveillance, treatment, control and prevention of 90+ infectious diseases. It is one of the largest Divisions at the Health Department with seven bureaus including the Bureau of Communicable Diseases. The Bureau of Communicable Diseases is responsible for the surveillance, prevention, and control of over 70 infectious diseases, including foodborne, waterborne, respiratory, zoonotic and vector-borne diseases. Within the Bureau of Communicable Diseases, the Zoonotic and Vector-borne Disease Unit conducts surveillance and epidemiologic investigations for zoonotic and vector-borne diseases, and diseases in animals of potential public health concern (e.g., rabies, tularemia, anthrax, and avian influenza). Much of the unit’s work is conducted in collaboration with partners within and outside the Health Department. Job Description The NYC Health Department has an opening for an avian and novel influenza project coordinator. This position will serve as primary support for epidemiologic investigations for avian influenza/novel influenza viruses in NYC, develop protocols, and summarize data. They will have experience in epidemiology and data management and analysis and will participate in a wide range of activities. They will report to the Bureau of Communicable Disease (BCD) Zoonotic and Vector-borne Disease Unit Animal Health Team Lead, and will collaborate with the Disease Investigation Unit as well as Respiratory Pathogens Unit. Duties: • Oversee contact investigations (people and pets) related to avian influenza detections in animals, • Develop and maintain protocols related to avian and novel influenza for contact tracers, on-call physicians, and BCD staff including questionnaires, data entry tools, and trainings, • Conduct trainings for interns and rapid response teams on case and contact investigations and data entry, • Conduct routine and ad hoc analyses and prepare summaries of surveillance data, including analyses to identify clusters, or changes in epidemiologic trends, • Participate in outbreak investigations and as needed special epi projects on avian and novel influenza viruses, • Collaborate with outreach and health education staff to provide input for initiatives related to avian influenza and respiratory diseases, as well as a variety of diseases and conditions managed by the Bureau of Communicable Disease including foodborne, waterborne, zoonotic and vector-borne associated diseases, • Participate in development and maintenance of presentations to internal and external audiences, • Participate as needed on other animal disease investigations, • Graduate degree in field of public health, • Previous experience working in fields related to public health., • Experience in infectious disease epidemiology, • Ability to work well with others, • Experience with conducting interviews with health care providers, contacts and case patients., • Ability to effectively work independently as well as collaboratively and effectively on an interdisciplinary team, • Excellent communication (verbal & written) and interpersonal skills., • Desire to grow professionally, develop new skills and willingness to work outside of comfort zone., • Experience working with the public health sector and coordinating projects involving multiple stakeholders., • Ability to prioritize and work in fast-paced environment with hard deadlines., • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This is a temporary grant-funded position ending January 2027, • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday 35 Hours Per Week

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role: We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You'll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. Why this job is exciting: • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers., • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets., • Collaborate with data scientists to transition approved proof of concepts from a research environment into production., • Integrate AI capabilities into existing products and services through APIs and microservices., • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance., • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns., • Proficiency developing clean modular and efficient code with Python, • Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI, • Working knowledge of Google Gemini, OpenAI, and Anthropic APIs, • Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance, • Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources, • Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot), • Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints, • Natural curiosity and passion for staying current with rapidly evolving AI technologies, • Ability to balance innovation with practical business requirements, • Adaptable when navigating ambiguity and rapidly shifting priorities We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You'll be joining a small, ambitious team committed to high trust, low ego collaboration. It's a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration. Why you'll love it here: • 💰 Competitive Compensation. For this role our base salary is targeted at $205-244k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min - Phone call with a member of our Talent Team, • 75 min - Zoom interview with the Hiring Manager, • Skills Evaluation - Take-home Assignment, • 75 hr - Technical Interview with Team Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job Description VP, Head of Responsible AI Our client is seeking a visionary VP, Head of Responsible AI to architect trust across our enterprise AI initiatives. Reporting jointly to the CIO and General Counsel, you will accelerate AI adoption while embedding ethical, legal, and security guardrails in a data-centric operations environment. In a data-centric operations environment, this role serves as the bridge between technical innovation and legal safeguard — enforcing a dual mandate: accelerating AI adoption while minimizing systemic risk. Responsibilities: • Define and operationalize a 3-year Responsible & Secure AI maturity roadmap aligned with client commitments and global regulations., • Co-lead the AI Governance Committee with CIO/GC to unify AI approval and deployment decisions., • Serve as enterprise spokesperson on AI Trust for clients, regulators, and industry forums., • Establish the "Source of Truth" for all AI assets (model registries, lineage, audit trails)., • Oversee red-teaming, stress testing against prompt injection, model extraction, and data poisoning., • Embed security into LLMOps/DevSecOps pipelines for "Secure by Design" agentic systems., • Ensure RAG/fine-tuning workflows prevent PII leakage and client data cross-contamination., • Implement protocols to discover and govern shadow AI across business units., • Drive 100% compliance with EU AI Act, NIST AI RMF, ISO 42001, and US state laws (e.g., Colorado AI Act)., • Mandate bias detection/mitigation and algorithmic fairness protocols., • Enforce Human-in-the-Loop (HITL) requirements for high-stakes AI operations., • Support client negotiations with transparency on AI data protection., • Partner with Business Units to RAI-enable workflows without bypassing risk guardrails., • Vet foundation model providers (OpenAI, Anthropic) and open-source libraries., • Ensure AI systems align with EXL's cloud, data governance, and platform strategies., • Oversee policy adherence via audits, dashboards, and compliance reviews., • Lead enterprise training and culture-building for responsible AI., • Build/mentor a team of AI governance leads, ethicists, and security experts. Qualifications: Required: • 15 years in technical, legal, or risk leadership; 5 years dedicated to AI/ML governance, security, or ethics., • Hybrid expertise: Discuss Transformer architectures/vector DBs with engineers AND liability/indemnification with Legal., • Deep fluency in NIST AI RMF, ISO 42001, EU AI Act., • Proven experience building "Governance-as-a-Service" in global, regulated, client-facing enterprises., • Direct experience with LLMOps, RAG security, red-teaming, shadow AI mitigation., • Track record leading AI governance committees or maturity programs., • Comfortable in client-facing roles providing AI trust assurances.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role.You'llwork closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value.You'llown problems end-to-end-from discovery through production. This is a hybrid technologist and trusted advisor role.You'llembedwith client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'llownproblems end-to-end. What You'll Do: Client Engagement * Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows andidentifyAI opportunities * Lead discovery conversations to uncover pain points and scope solutions * Present recommendations to both technical and executive stakeholders Solution Design & Architecture * Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents * Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches * Design systems that integrate with existing client infrastructure Hands-On Building * Write production code-Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.) * Build RAG systems, agentic workflows, and custom AI applications * Own the full stack from data ingestion to user interface Rapid Prototyping * Build working prototypes in days/weeks, not months * Validate value quickly with real users and real data * Iterate based on feedback and measured outcomes Production Deployment * Take solutions from prototype to production * Ensure reliability, security, and maintainability * Support ongoing optimization and enhancement Contributors to your success: * 7+ years of software engineering experience, ideally with client-facing or consulting exposure * Strong programming skills in Python; experience with TypeScript/JavaScript a plus * Hands-on experience building with LLMs (GPT, Claude, etc.)-RAG, prompt engineering, fine-tuning, or agentic systems * Experience taking AI/ML projects from prototype to production * Excellent communication skills-can explain technical concepts to executives and collaborate with non-technical stakeholders * Comfortable with ambiguity-can scope problems, make decisions, and own outcomes end-to-end * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience * Experience in financial services, private equity, or real estate * Background at a startup (especially as early engineer) or consulting firm * Experience with data pipelines, ETL, and working with messy enterprise data * Familiarity with cloud platforms (AWS, Azure, GCP) * Experience with vector databases, embeddings, and semantic search For New York based candidates, the compensation range for the position is expected to be between $200,000 and $275,000 annually. Total compensation, including base pay, discretionary individual bonus and company bonus, may be higher than range listed, depending on applicant's skills, qualifications, and experience. Benefits include health insurance, life and disability insurance, 401k, EAP, paid holidays and paid time off. About Chatham Financial: Chatham Financial is the leading independent capital markets advisor, delivering an integrated blend of expert advice and powerful technology to help you reduce risk and seize opportunity. With decades of capital markets strategy, execution, monitoring, and performance expertise, we serve as an unwavering advocate for your best interests and your innovation partner. Our technology platform unifies data across assets, debt, and derivatives, giving you unmatched agility, transparency, and insight. It's clear ahead. Our commitment is to carry that light forward in every partnership, every solution, and every market we serve. We help guide the way-giving clients the insight and momentum to move forward with confidence, no matter what lies ahead.

Robert Bosch LLC seeks Sr Software Engineer (Multiple Positions) at its facility located at 15000 Haggerty Rd, Plymouth, MI 48170. Develop Software for Brake modulation systems, configuring and developing ESP/ iBooster software components including CAN communication and diagnostics using C/C++. Analyze and develop the requirements for core brake modulation controllers based on customer specifications. Discuss the interface specifications for affected components with the component responsible. Design, implement, and validate the solutions for the assigned functions. Release and validate functions as per the project schedule. Co-ordinate with the platform development group in Germany for support in the development of these functions if required. Develop, implement, and test the software solution using applicable tools. REQS: This position requires a bachelor’s degree, or foreign equivalent, in Electronic Engineering, Electrical Engineering or in a related field plus 5 years of experience as a Software Function Developer, Algorithm Software Developer or an occupation involving automotive function, software design, or development engineering. Additionally, the applicant must have employment experience with: (1) Vehicle physics and programming; (2) Developing software for safety critical embedded systems following Automotive Safety Standards (ISO 26262 and functional safety norms (ASIL A,B,C or D); (3) C and C++ programming languages; (4) Vehicle architecture and networking systems (CAN, Flexray or J1850) and; (5) Vector tools such as CANape and CANalyzer for measuring, testing, and simulating network communications. Telecommuting: Up to 2 days per week telecommuting permitted. Travel: 10% domestic and international travel required. Applicants who are interested in this position should apply online at ___, search [Sr Software Engineer / Reference # - REF260911H]. #LD-NI Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Job Description: Architect and own the AI context platform Design end-to-end platform architecture: ingestion ? parsing/chunking ? enrichment ? embeddings ? vector indexing ? retrieval/serving Define scalable patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage a

Job Description: Build and contribute to the AI context platform Implement end-to-end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers Deliver semantic and governed data products Requirements: 3–6 years in data engineering or data platform roles with strong hands-on delivery Strong SQL and Python (or Scala/Java); solid production engineering habits Experience designing and operating cloud data pipelines at scale Experience working with unstructured data processing and search/retrieval concepts Clear communicator who can work effectively across technical and functional teams Benefits: Medical, dental and vision coverage 401(k) plan with a generous employer match Employee stock purchase plan Generous Paid Time Off policy Paid parental leave and adoption assistance Wellness Program with free annual health screenings and coaching

Job Description: Perform signal integrity (SI) simulations using tools such as HyperLynx, HFSS, or CST Identify and resolve issues related to crosstalk, signal loss, reflections, and other performance degradations in high-speed designs. Analyze PCB layout designs to ensure optimal signal performance, providing feedback and recommendations to layout and hardware design teams. Collaborate with hardware engineers to optimize high-speed signal paths, ensuring adherence to specifications for interfaces like DDR5, PCIe, USB4, SerDes, and Ethernet. Evaluate and validate signal integrity for power delivery networks (PDN) to minimize noise, ground bounce, and power/ground integrity issues. Work closely with PCB layout, hardware, and mechanical teams to ensure design choices align with signal integrity best practices. Develop and implement test strategies for verifying signal integrity on prototypes and final products using tools like oscilloscopes, vector network analyzers (VNA), and time domain reflectometry (TDR). Create and maintain signal integrity design guidelines, best practices, and checklists to support hardware engineers throughout the product development lifecycle. Diagnose and resolve SI issues during the bring-up phase of new products, ensuring minimal impact on time-to-market. Requirements: Bachelors or Masters degree in Electrical Engineering, Electronics Engineering, or a related field. 5+ years of experience in signal integrity and related areas in hardware engineering with hands on experience on LPDDR5, PCIe, USB4, SerDes, and Ethernet protocols. Strong understanding of high-speed signal transmission principles, including impedance, crosstalk, noise, and signal attenuation. Proficiency in SI analysis tools such as Ansys HFSS, SIWave, CST or similar industry-standard software. Hands-on experience with lab equipment such as oscilloscopes, VNAs, TDRs, and protocol analyzers. Ability to contribute to process improvements and the development of new methodologies for signal integrity analysis. Benefits: Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

A leading data platform company is seeking a Senior Backend Software Engineer to play a crucial role in building scalable AI-native data infrastructure.This position emphasizes backend service design, utilizing C/C++ to optimize performance across distributed systems.The ideal candidate will bring o

A leading data platform company is seeking a Senior Backend Software Engineer to develop scalable AI-native data infrastructure. The role involves architecting distributed vector databases using C/C++. Candidates should have over 5 years of experience in backend engineering and strong proficiency in

Since our inception in 1998, Vector Media has been at the cutting edge of transforming transit advertising into a dynamic arena for brand engagement and efficient reach to millions of Americans. Vector Media started with a vision to break the traditional OOH advertising mold by elevating transit adv

Vector Solutions is an Equal Opportunity Employer. Vector Solutions is the leader in providing industry-focused SaaS solutions that connect content and technology. Vector's unique product set aims at training and learning management, continuing education (CE), compliance, workforce scheduling, safet

A biotechnology firm in New Jersey is seeking a Director of Cell and Vector Process Development to lead technical teams in delivering high-quality process development.

Pay Rate: $40-$55 per hour Summary: Location: New York, NY Duration: 6 Months Responsibilities: Work from established design templates and approved component libraries to produce polished materials across formats including pitch decks, product brochures, fund fact sheets, flyers, digital display, an

Graphic Designer, Fashion and Lifestyle Brands.Our client, a leading brand management firm with a portfolio of top-tier fashion, sports, and lifestyle brands, is seeking a Graphic Designer to support its digital design initiatives for the fashion and lifestyle brands in their portfolio.This is an ex

The company owns PJ MARK a leading men's urban street fashion brand renowned for its focus on street fashion, including graphic T-shirts, denim jeans, track joggers, and activewear for young and trendy trendsetters.Inspired by street, sports, hip-hop, skate, and hype fashion cultures, I-Fe Apparel I

POP Creations is a fast-growing creator of licensed home décor, storage, workspace organization, floor coverings and garden products for children and adults.Our wide range of formats extends across multiple IPs, including Marvel, DC, Disney, Harry Potter, Star Wars, Nickelodeon, NBCUniversal, Peanu

Junior Graphic Designer – Marketing.New York, NY (Manhattan - Garment District).Marketing - DK/DKNY/KLP Studio.G-III excels at bringing excitement and confidence to customers through the fashion we create.We are global experts in design, sourcing, manufacturing, distribution and marketing, which e

Design graphics that will be seen globally.As an Associate Women's Graphic Designer supporting Off-White Womenswear and Scotch & Soda, you will contribute to seasonal collections for two internationally recognized brands with distinct and influential creative identities.Reporting to the Art Dire

Location: Jersey City, NJ (Hybrid).Our client is a mission-driven, consumer-facing apparel brand inspired by a relaxed, coastal lifestyle.The company is known for its thoughtful design, strong visual identity, and commitment to sustainability.The brand has expanded beyond its original product focus

Our client is a contemporary fashion brand known for its elevated outerwear and leather apparel.This is a contract role- 2-3 months.Graphic Designer Responsibilities:.Design and execute marketing materials including banners, catalogs, posters, and other promotional assets.Prepare production-ready fi

Phantom Brands is a forward-thinking consumer products company focused on delivering innovative, high-quality products with standout visual identities.We pride ourselves on blending creativity with strategic execution to create packaging that performs at retail and resonates with customers.We are se

Macy's is more than just a store.One that's captured the hearts and minds of America for more than 160 years.A story about innovations and traditions.Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade.We've been part of memorable moments and milestones for countless customer

Join a globally recognized leader in digital entertainment and media, where creative work supports content enjoyed by audiences around the world.Aquent is seeking a skilled Graphic Designer to support high-volume digital asset production for movies, TV series, and related promotional content.This ro

Collaborate with the Creative Service Team to support the Marketing and Communication Department in creating and implementing various assets, including print materials, social media content, digital display ads, web designs, direct mail campaigns, and interactive resources.Create marketing materials

Location: NYC, NY/ Jersey City, NJ Hybrid Model (Onsite TWR, Remote MF).Duration: 05 Months with possibility of extension.The client is seeking an experienced Contract Graphic Designer to support a brand transformation initiative.In this role, you will be a dedicated design resource responsible for

We are partnering with a globally recognized fashion and lifestyle brand to identify talented Digital Creative Designers for future contract engagements.This role sits within the brand's Marketing, Merchandising, and Creative team, with a primary focus on bringing the brand's identity to life across

Graphic Designer Job Duties: Prepares work to be accomplished by gathering information and materials.Plans concept by studying information and materials.Illustrates concept by designing rough layo

Graphic Designer Remote Job Duties: 1.Develop graphics for product illustrations, prototype, logos, and websites 2.Select colors, images, text style, and prepare layouts 3.Incorporate changes recommended by the com

About the job Mercor connects elite creative and technical talent with leading AI research labs.Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey.Position: Professional Design Experts Type: Contract Comp

Graphic Designer Job Duties: Prepares work to be accomplished by gathering information and materials.Plans concept by studying information and materials.Illustrates concept by designing rough layo