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Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Job: AI/ML Engineer Location: Newark, NJ/Hybrid Duration: 6+ Months Contract to Hire. Note: This is open for W2 only. Requisition for Lead Machine Learning Engineer (Generative AI Focus) Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. Key Responsibilities: • Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings., • Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations., • Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation)., • DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency., • Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance., • Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads., • Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems., • Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently., • Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments. Qualifications: • Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred, • At least five plus years' experience as a machine learning engineer, deploying models in production, • Strong proficiency in Python and software engineering principles., • Solid understanding of machine learning fundamentals and model lifecycle management., • Experience with cloud platforms, containerization, and infrastructure management., • Familiarity with DevOps practices and automation tools., • Expertise in GenAI frameworks, prompt engineering, and model serving., • Ability to manage GPU/TPU resources and optimize model serving frameworks., • Experience in developing agentic systems and multi-agent architectures., • Proven track record in cost optimization in AI deployments.

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

About the Role The Forward Deployed Context Engineering Lead (Director) is responsible for designing, deploying, and governing end-to-end context and retrieval architectures that power generative AI and agentic AI solutions for strategic financial services clients. Embedded at client sites using a embedded forward deployment model, this leader translates business imperatives into production-grade AI deployments, context pipelines, tool orchestration frameworks, and evaluation systems that ensure AI workflows are compliant, reliable, and measurable against regulatory and business standards. In highly regulated financial services environments, this role bridges AI innovation with governance frameworks including BCBS 239 (risk data aggregation), NIST AI RMF, ISO 42001, and emerging AI regulations. The holder serves as both a trusted technical advisor and strategic business partner, shaping how AI augments operations. In this role, you will: Strategic Partnership & Client Leadership * Partner with CFO, CIO, COO, Chief Risk Officer, and Chief Compliance Officer to define multi-year AI transformation roadmaps, with emphasis on use case prioritization, governance alignment, and risk-adjusted ROI. * Work "forward deployed" at client sites, embedding within business units and technology teams to own end-to-end solution delivery from discovery through production and value realization. * Lead discovery workshops to uncover high-value AI opportunities, frame problem statements, and shape outcome-driven implementations in core business processes (credit decisioning, market risk, AML/CFT, wealth advisory). End-to-End Context Architecture * Own the complete context fabric that feeds LLMs and agents: data products, RAG pipelines, vector databases, knowledge graphs, semantic layers, tool schemas, memory stores, and orchestration patterns. * Design and oversee implementation of enterprise-scale retrieval systems that integrate multiple data sources (core banking, risk repositories, regulatory data, market data, customer data warehouses) with sub-second latency and high recall. * Architect tool landscapes for agents, defining function schemas, validation rules, pre/post-execution guardrails, and escalation patterns so agents safely interact with core systems (core banking APIs, trading platforms, CRM, regulatory reporting engines). * Establish context quality and freshness standards aligned to use case sensitivity: real-time for trading contexts, hourly for compliance contexts, daily for advisory contexts. AI & Data Governance & BCBS 239 Alignment * Embed data lineage, quality controls, and metadata management into context pipelines to satisfy BCBS 239 principles (completeness, accuracy, timeliness, clarity, granularity) and emerging AI data governance expectations. * Work with Chief Data Officer and data governance teams to ensure context data products meet regulatory lineage requirements, audit trails, and change management protocols. * Design data product contracts that codify context completeness, freshness, and accuracy SLAs and make them machine-readable for automated quality gates. AI Evaluation & Safety Strategy * Define and operationalize comprehensive evaluation strategy covering accuracy, consistency, hallucination detection, bias, fairness, latency, cost, and regulatory compliance by use case. * Establish baseline and continuous metrics for both offline benchmarking (held-out test sets, red teaming) and online monitoring (production feedback, human review, alert escalations). * Partner with Evaluation Engineering and Risk teams to implement automated quality gates in CI/CD pipelines, blocking unsafe or regressing models/prompts/context changes from deployment. * Lead design and execution of red team exercises for high-risk use cases (credit decisioning, investment advice, transaction monitoring), including jailbreak detection, prompt injection, data leakage, and discriminatory output testing. Responsible AI & Governance Integration * Translate NIST AI RMF, ISO 42001, EU AI Act, and internal governance policies into architecture requirements: explainability, auditability, bias monitoring, human oversight, incident response. * Collaborate with Chief Risk Officer, compliance, legal, and audit to define AI governance controls: model risk management, data governance, algorithm risk registers, impact assessments, and escalation workflows. * Establish observability and monitoring frameworks that track AI system health (quality metrics, safety indicators, regulatory drift) and provide dashboards and alerts for business and risk stakeholders. Cloud & Platform Strategy * Own technical platform strategy for AI solutions, including cloud selection (AWS, Azure, GCP), data platform selection (Snowflake, Databricks, Palantir Foundry, Microsoft Fabric), and integration architecture. * Architect secure, scalable, multi-tenant AI infrastructure that meets financial services standards for security, auditability, disaster recovery, and regulatory reporting. * Design and implement MLOps, LLMOps, and model governance workflows to ensure reproducibility, auditability, and rapid, safe iteration on AI solutions in production. Business Development & Executive Engagement * Support go-to-market strategy for AI transformation engagements: solutioning, proposals, statement of work (SOW) development, and executive presentations to C-suite. * Build thought leadership content (whitepapers, case studies, reference architectures) on context engineering, AI governance, and financial services AI transformation. * Mentor and grow a practice or delivery team of context engineers, evaluation engineers, platform engineers, and solution architects to scale repeatable AI capability. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Dallas, Minneapolis, or Chicago. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered * 15+ years of experience across software engineering, data engineering, data science, or AI/analytics, with at least 5-7 years leading AI/ML transformation initiatives. * Proven track record leading large-scale AI or digital transformation programs at consulting firms (Deloitte, PwC, Accenture, Cognizant) or equivalent director/senior manager roles in financial services technology. * Demonstrated expertise working in a forward-deployed or embedded model, owning end-to-end solution delivery from architecture through production launch and ongoing optimization. * Hands-on technical expertise in modern AI stacks: LLMs, RAG, vector databases, cloud platforms, and ML engineering practices. * Prior experience in financial services (investment banking, capital markets, wealth management, payments, insurance) or other regulated domains (healthcare, government). * Strong communication skills: ability to translate technical AI concepts for C-suite audiences and facilitate workshops with business and risk stakeholders. These will help you stand out LLM & Agentic Systems * Deep, hands-on understanding of LLM architecture, capabilities, limitations, and fine-tuning approaches; experience with GPT-4, Claude, LLaMA, and domain-specialized models. * Advanced expertise in multi-agent orchestration patterns: hierarchical agents, collaborative agents, tool-using agents, memory strategies, and long-horizon planning for financial workflows. * Proficiency with prompt engineering, in-context learning, chain-of-thought, and few-shot prompting for complex financial reasoning tasks (credit analysis, risk assessment, advisor-style interactions). Context & Retrieval Architecture * Production experience designing and implementing retrieval-augmented generation (RAG) systems, including chunking strategies, embedding models, vector databases (Pinecone, Weaviate, Milvus), and hybrid search (semantic + lexical). * Data engineering expertise: ETL/ELT pipelines, streaming architectures (Apache Kafka, Spark Structured Streaming), data quality frameworks, and metadata management catalogs. * Knowledge graph and semantic layer experience: designing ontologies, entity resolution, relationship extraction, and knowledge graph querying for financial contexts (counterparties, instruments, risk factors, regulatory entities). * Experience with feature stores and data products as foundational context infrastructure; ability to define and operationalize data product contracts. AI Governance, Safety & Evaluation * Familiarity with AI safety and evaluation techniques: benchmark design, task-specific metrics, human-in-the-loop review, red teaming, jailbreak testing, and bias/fairness audits. * Working knowledge of NIST AI Risk Management Framework, ISO 42001, BCBS 239 data governance principles, and emerging financial AI regulations (EU AI Act, Treasury AI guidance). * Experience with model risk management (MRM) frameworks, model cards, impact assessments, and governance workflows for high-risk AI systems in regulated environments. Cloud & Data Platforms * Production architecture and deployment experience on major clouds (AWS-Bedrock, SageMaker, EC2; Azure-Copilot, OpenAI Service, App Service; GCP-Vertex AI). * Proficiency with enterprise data platforms: Snowflake (architecture, Cortex AI), Databricks (LLMs, fine-tuning), Palantir Foundry (ontologies, apps), Microsoft Fabric (data engineering, AI services). * Security, compliance, and observability: encryption at rest/in transit, IAM, audit logging, HIPAA/SOX/GDPR compliance controls, and monitoring/alerting. Software Engineering & AIOps / MLOps * Strong Python and at least one of TypeScript, Java, or Scala; experience building production ML/AI systems, not just prototypes. * Hands-on MLOps, LLMOps, and CI/CD: infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), experimentation platforms, and model deployment pipelines. * API design and integration: designing REST/GraphQL APIs, integrating AI systems into microservices architectures, event-driven systems, and enterprise applications (core banking, trading systems). We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Work Authorization: Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.) Salary and Other Compensation: The annual salary for this position is between $137,250 - $250,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: * Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off. * 401(k) plan and contributions. * Long-term/Short-term Disability. * Paid Parental Leave. * Employee Stock Purchase Plan Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave's extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. In this role, you will: • Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud., • Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary., • Develop a deep understanding of customer workloads and use cases to provide tailored technical support., • Coordinate remote troubleshooting and hardware interventions with Data Center Technicians., • Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles., • Participate in an on-call rotation to support production clusters and ensure operational reliability., • Collaborate with engineering teams to improve hardware reliability, software stability, and system performance., • Implement automation and scripting to streamline support workflows and reduce manual interventions., • Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware)., • Provide feedback to internal teams on common support issues to drive continuous improvements., • Work with networking teams to troubleshoot connectivity issues affecting customer workloads., • Support supercomputing infrastructure running GPU workloads at scale., • Drive operational excellence by refining internal processes and support methodologies. Who You Are: • Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting., • Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment., • Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency., • Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments., • Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools., • Hands-on experience with firmware updates, BIOS configurations, and driver management., • Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers., • Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms., • Experience in scripting and automation (Python, Bash, Ansible, or similar). Wondering if you're a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don't check every box. Here are a few qualities we've found make someone successful on our team. If some of this describes you, we'd love to talk. • You're curious about Kubernetes, Docker, and containerized infrastructure, • You have strong problem-solving skills with a proactive and analytical mindset. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $83,000 to $110,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: We are seeking a Senior Platform Engineer to join our Kubernetes Infrastructure team. This role involves administering our critical multi-tenant Kubernetes platforms and collaborating with development teams to establish proper deployment architectures. The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment. About the role: • Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use., • Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs., • Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting., • Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures., • Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.Who You Are:, • Bachelor's in CS, Engineering, or related field, or equivalent experience preferred., • CKA or similar certifications is highly desired., • 5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS)., • Strong Gitops/Devops with Argocd or similar helm chart management., • Proven Docker and containerization experience., • Strong Linux OS experience., • Proficient in Go., • Excellent problem-solving, debugging, and analytical skills., • Master's degree in Computer Science, Engineering, or a related field., • Experience with performance profiling and optimization of distributed systems., • Knowledge of network protocols and distributed consensus algorithms. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role: SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: • Languages: Python, Go, bash/sh, • Observability: Prometheus, Victoria Metrics, Grafana, • OS & Kernel: Linux Kernel (custom build), Ubuntu, • Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers., • Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures., • Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds., • Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling., • "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams., • Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production., • Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads., • 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps., • Deep knowledge of Linux internals (boot process, kernel modules, networking stack)., • Experience with package management (Debian/Ubuntu) and build systems., • Strong proficiency in Python (essential for the AI integration aspects of this role)., • Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows., • Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs., • Experience building event-driven automation (e.g., using webhooks to trigger analysis agents)., • Experience with Kubeflow or MLFlow., • Background in High-Performance Computing (HPC). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description AWS DevOps Engineer We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. uTcySEhbfw

Job Description Cloud System Admin We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. I1Diud668z

Job DescriptionCompany Description Location: Ridgefield Park Contract Period : 7 week Pay rate: $8,600/M DOE Lead cross-functional development teams building enterprise-grade distributed systems. Manage the full project lifecycle for microservices, API integrations, and DevOps initiatives. Gather business requirements, translate them into functional specifications, and ensure comprehensive documentation and smooth project handovers. Job Description • Requirements & Business Analysis: Conduct stakeholder interviews and user workshops; create BRDs, FRDs, user stories, and acceptance criteria; manage requirements traceability and obtain sign-offs, • Project Planning & Execution: Develop project plans, WBS, and schedules; manage scope, budget, and resources; coordinate releases across environments, • Team Leadership: Lead Java developers, DevOps engineers, QA, and DBAs; facilitate Agile ceremonies; remove blockers and maintain team velocity, • Stakeholder Communication: Serve as liaison between technical teams and business; deliver executive reports and presentations; manage expectations and escalations, • Documentation: Maintain project documentation, meeting minutes, and decision logs; create process flows, SOPs, and user guides, • Project Handover: Develop handover packages, runbooks, and troubleshooting guides; conduct knowledge transfer sessions; obtain formal acceptance, • Technical Coordination: Oversee microservices, CI/CD pipelines, containerization (Docker/Kubernetes), database migrations, and monitoring implementationsQualifications Experience: • 7+ years project management in software development; 5+ years with enterprise Java/API/distributed systems, • 3+ years Agile/Scrum in DevOps environments; 3+ years business analysis and requirements gathering, • Microservices architecture, RESTful APIs, Spring Boot ecosystem, message brokers (Kafka/RabbitMQ), • CI/CD pipelines (Jenkins/GitLab CI), Docker, Kubernetes, Linux environments, • Exceptional communication, presentation, and facilitation skills for technical and non-technical audiences, • Strong technical writing; proficient in creating BRDs, FRDs, process flows (Visio/Lucidchart/Miro), • BS/BA in Computer Science, IT, or Business Administration, • Previous experience as developer, BA, or technical lead; cloud platforms (AWS, Azure, GCP), • ITIL certification; experience with UAT coordination, change management, and organizational transformation Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do The Artifact Management team is building and operating a large-scale distributed system that stores, serves, and updates artifacts at massive scale. We're looking for engineers passionate about designing high-performance, storage-efficient systems that power critical development workflows. As an engineer on the team, you'll build a platform that enables developers to securely and seamlessly publish their artifacts. In this role, you will • Design and implement distributed storage and caching solutions for artifacts, • Evaluate and explore third-party solutions that could accelerate our vision, • Develop APIs and services for artifact publishing, retrieval, and version management, • Optimize performance, reliability, and cost efficiency across multi-region deployments, • Work closely with build, release, and infrastructure teams to ensure seamless integration into developer workflows, • Drive observability, automation, and resilience in a high-traffic production environment by creating dashboards, metrics and alerts. Who You Are Minimum Qualifications • Bachelor's degree in Computer Science, Software Engineering, or a related field., • 4+ years of experience in a software or infrastructure engineering industry, • Strong experience operating services in production and at scale., • Deep experience with Go as your primary programming language., • Experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes)., • Understanding of system design, scalability and efficiency., • Extensive experience with Artifactory, Cloudsmith is a plus., • Experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations), • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionDesign, develop, direct, test, validate and document software systems using Agile methodologies and software tools such as GitHub and Jira. Analyze user needs, performance requirements, interfaces and software requirements to determine feasibility of design within time and cost constraints. Design and build cloud-scale Services and APIs running in Amazon instances by creating Kubernetes and docker images, using modern standards and frameworks such as RESTful JSON APIs. Develop and Support APIs built on top of Python, Java and PHP programming languages and implemented with different frameworks/libraries such as Flask, SQL Alchemy, Symphony, Zend, Spring. Develop and maintain web applications using standards such as HTML5, JavaScript, Typescript, CSS and modern frameworks such as Angular and ReactJS. Measure, maintain and improve the performance of cloud-based and local data stores. Partner with the team to create solutions, assist team’s and organization’s migration to new technologies to provide better performance and results to clients. May work at the Paramus, NJ worksite or telecommute from anywhere in the U.S. and report to the Paramus, NJ site. Salary: $112,249.92/year. Requirements: • Bachelor’s (or foreign equivalent) degree in Computer Science, Computer Engineering, Electronics Engineering or related., • Two years of work experience in the job offered. What BRIDGE offers you: • An opportunity to work with and directly impact our organization’s growth and revenue, • An opportunity to work with the latest technology, • Professional growth and development, • Competitive salary and compensation structure and benefits While other companies merely sell data, we sell knowledge. We’ve created custom profiles for every one of the more than 250 million verified people in our platform and share insights nobody else has. Bridge makes it easy to find your ideal customers and reach them anywhere. Facebook, email, desktop, mobile, connected TV -- wherever your buyer is, we are too. We work with you every step of the way to optimize the performance of your campaign so you can make every ad dollar count. Since our founding in 2010, Fortune 500 companies, leading agencies, and fast-growing entrepreneurial businesses have trusted Bridge to build real-world custom audiences and hyper-engaged campaigns across all platforms. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by state, federal, or local law. The duties listed above may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at anytime at the sole discretion of the Employer. This job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education and other factors. Applicants have rights under Federal Employment Laws. BRIDGE participates in E-Verify, is covered under the FMLA and the EPPA, and complies with EEOC standards. Powered by JazzHR d5uWpGDLZu

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered agent for This role offers hands-on experience with cutting-edge Small language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Small Language Models (SLMs):, • Understanding and working with lightweight models such as Phi-3 (Microsoft), Llama(Meta), Mistral (Mistral), Gemma (Google), and TinyLlama (for resource-constrained environments)., • Design Phase:, • Requirements Gathering: Using Figma for UI/UX design and workflow planning., • Data Analysis: Utilizing Jupyter Notebooks and pandas for data exploration, cleaning, and analysis., • Model Selection: Leveraging Hugging Face Model Hub to compare, select, and download pre-trained models., • Development Framework:, • Core Framework: Building SLM-powered applications using LangChain or Lanngraph for orchestration and workflow management., • Model Serving: Deploying models locally with Ollama or at scale with vLLM for efficient inference., • Vector Database: Implementing semantic search and retrieval-augmented generation (RAG) using ChromaDB., • API Framework: Developing RESTful APIs with FastAPI (Python) or Express.js (Node.js) to expose model functionality, • Development Tools:, • IDE: Coding in VS Code, ideally with Python and Copilot extensions for productivity., • Model Fine-tuning: Customizing models using Hugging Face Transformers and parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA., • Prompt Engineering: Managing and optimizing prompts with LangSmith or PromptLayer., • Version Control: Tracking code and data changes with Git and DVC (Data Version Control)., • Experiment Tracking: Logging experiments, metrics, and results with MLflow or Weights & Biases., • Testing Stack:, • Unit Testing: Writing and running tests using pytest or unittest to ensure code correctness., • Model Evaluation: Assessing model performance with RAGAS (for RAG pipelines) and DeepEval., • Load Testing: Simulating high-traffic scenarios using Locust or Apache JMeter., • Quality Assurance: Using LangChain Evaluators and custom metrics to ensure output quality and reliability., • Deployment Stack:, • Containerization: Packaging applications with Docker or Docker Compose for portability and reproducibility., • Orchestration: Managing and scaling containers with Kubernetes (K8s) or Docker Swarm., • Model Optimization: Accelerating inference and reducing resource usage with ONNX Runtime, OpenVINO, or llama.cpp., • API Gateway: Managing and securing APIs with Apigee., • Observability: Monitoring application and model performance with LangSmith., • CI/CD: Automating build, test, and deployment pipelines with GitHub Actions or GitLab CI., • Infrastructure Options:, • On-Premise: Deploying solutions on local servers with GPU or CPU resources., • Cloud: Utilizing GCP (Vertex AI) for scalable, managed AI infrastructure., • Hybrid: Integrating edge devices for local inference with cloud backup for resilience and scalability., • Environments vary by intership function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do The Artifact Management team is building and operating a large-scale distributed system that stores, serves, and updates artifacts at massive scale. We're looking for engineers passionate about designing high-performance, storage-efficient systems that power critical development workflows. As an engineer on the team, you'll build a platform that enables developers to securely and seamlessly publish their artifacts. In this role, you will • Design and implement distributed storage and caching solutions for artifacts, • Evaluate and explore third-party solutions that could accelerate our vision, • Develop APIs and services for artifact publishing, retrieval, and version management, • Optimize performance, reliability, and cost efficiency across multi-region deployments, • Work closely with build, release, and infrastructure teams to ensure seamless integration into developer workflows, • 2+ years of experience in a software or infrastructure engineering industry, • You have experience operating services in production and at scale., • You have experience with Go as your primary programming language., • Experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes)., • Understanding of system design, scalability and efficiency., • Experience with third party vendors like artifactory, cloudsmith is a plus., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are seeking an experienced Senior Software Developer – Cloud Technology & Cloud Infrastructure to design, develop, and maintain scalable, secure, and high-performing cloud-based solutions. This role will focus on building cloud-native applications and infrastructure that support healthcare integrations, including EHR and Acute Care systems. The ideal candidate will have deep expertise in cloud platforms, distributed systems, infrastructure automation, and DevOps practices, along with experience integrating with healthcare systems such as Epic, Cerner, MEDITECH, or Allscripts in acute care environments. Essential Duties & Responsibilities: Cloud Architecture & Application Development • Design and develop scalable, cloud-native applications using modern architectures (microservices, event-driven systems)., • Build and maintain APIs and backend services supporting integrations with EHR systems such as Epic, Cerner Millennium, MEDITECH Expanse, Allscripts, or Athenahealth., • Design and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform., • Implement and manage CI/CD pipelines for automated deployments., • Deploy and manage containerized applications using Docker and Kubernetes., • Ensure high availability, scalability, disaster recovery, and business continuity for healthcare systems., • Design and maintain integrations using healthcare standards such as HL7, FHIR, and APIs., • Ensure solutions comply with healthcare regulations (e.g., HIPAA)., • Provide technical leadership and mentorship to development teams., • Conduct architecture reviews, code reviews, and technical documentation., • Collaborate cross-functionally with DevOps, Security, QA, Product, and Healthcare Integration teams., • Bachelor’s or master’s degree in computer science, Engineering, or related field (or equivalent practical experience)., • 7+ years of software development experience., • 4+ years of hands-on experience with cloud platforms (AWS, Azure, or Google Cloud)., • Strong proficiency in one or more programming languages (Java, Python, C#, Go, or Node.js)., • Experience with:, • Kubernetes and container orchestration, • Infrastructure as Code (Terraform, ARM, CloudFormation), • CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, GitLab CI), • RESTful APIs and microservices architecture, • Knowledge of healthcare data standards such as HL7 and FHIR., • Strong understanding of cloud networking, IAM, encryption, and security best practices., • Cloud certifications such as:, • AWS Certified Solutions Architect, • Microsoft Azure Solutions Architect Expert, • Google Professional Cloud Architect, • Experience with serverless architectures and event streaming platforms (Kafka, Pub/Sub)., • Knowledge of multi-cloud or hybrid-cloud strategies., • Familiarity with Site Reliability Engineering (SRE) practices. ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit . ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . he Artifact Management team is building and operating a large-scale distributed system that stores, serves, and updates artifacts at massive scale. We're looking for engineers passionate about designing high-performance, storage-efficient systems that power critical development workflows. As an engineer on the team, you'll build a platform that enables developers to securely and seamlessly publish their artifacts. In this role, you will • Design and implement distributed storage and caching solutions for artifacts, • Evaluate and explore third-party solutions that could accelerate our vision, • Develop APIs and services for artifact publishing, retrieval, and version management, • Optimize performance, reliability, and cost efficiency across multi-region deployments, • Work closely with build, release, and infrastructure teams to ensure seamless integration into developer workflows, • Drive observability, automation, and resilience in a high-traffic production environment by creating dashboards, metrics and alerts., • Diagnose and resolve system bottlenecks, storage issues, and dependency-related failures., • Drive and implement best practices in artifact creation and lifecycle management., • Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Who You Are Minimum Qualifications • 7+ years of experience in a software or infrastructure engineering industry, • Deep experience operating services in production and at scale., • Proficient in Go as your primary programming language., • Strong experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes)., • Expertise in leading scale system design, scalability and efficiency., • Experience with third party vendors like Artifactory. Cloudsmith is a plus., • Experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations), • Experience with KubeVirt, KataContainers, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered deep research agent for This role offers hands-on experience with cutting-edge large language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Large Language Models (LLMs):, • Understanding and working with commercial/proprietary LLMs such as Gemini( Google), GPT(OpenAI) and Claude Sonnet (Anthropic)for high performance, large context, and multimodal tasks., • Familiarity with open-source/self-hosted LLMs like Llama from Meta and Mixtral from (Mistral AI)., • Design & Planning Phase:, • Requirements Gathering: Using Confluence for documentation and collaboration., • Architecture Design: Creating system diagrams and workflows with Lucidchart., • Prototyping: Designing UI/UX prototypes in Figma., • Project Management: Tracking tasks and progress in Jira., • Data Preparation & Management: Cleaning, transforming, and organizing data for use in AI/ML workflows., • Development Framework & Tools:, • Core LLM Frameworks: Using LangChain or LlamaIndex for orchestrating LLM applications., • Agent Frameworks: Building multi-agent systems with Semantic Kernel, CrewAI, and LangGraph., • Prompt Management: Managing and optimizing prompts with LangSmith., • Vector Databases & Search:, • Implementing semantic search and retrieval using Vertex AI Vector DBs, • Backend Development:, • API Framework: Developing RESTful APIs with FastAPI (Python)., • Message Queue: Integrating asynchronous communication with Apache Kafka and Redis Streams., • Frontend Development:, • Web Framework: Building user interfaces with React or Angular., • UI Components: Utilizing Material-UI for consistent, modern UI elements., • IDE: Using Google AI Studio for AI application development., • Development Tools:, • IDE: Writing and debugging code in VS Code., • AI Assistants: Leveraging GitHub Copilot and Cursor for code suggestions and productivity., • Version ControlManaging code with GitHub, or GitLab., • Code Quality: Ensuring code quality and standards with SonarQube, ESLint, and Pylint., • Model Fine-tuning & Customization:, • Fine-tuning Platforms: Using Vertex AI Tuning for model customization., • Training Frameworks: Training and experimenting with models in PyTorch, TensorFlow, or JAX., • Efficient Training: Applying parameter-efficient fine-tuning (PEFT) methods like LoRA and QLoRA., • Synthetic Data: Generating synthetic data., • Evaluation: Assessing models with HELM, lm-evaluation-harness, and custom benchmarks., • Testing Stack:, • LLM-Specific Testing: Using RAGAS, and DeepEval for LLM evaluation; LangSmith Evaluators for prompt testing; hallucination detection., • Deployment & Infrastructure:, • Containerization: Packaging applications with Docker., • Orchestration: Managing containers at scale with Kubernetes and Google GKE., • Cloud Platforms:, • Using Google Cloud Platform (GCP) services such as Vertex AI for ML, GKE for Kubernetes, Cloud Run for serverless deployment, and Cloud Functions for event-driven tasks., • LLM-Specific Monitoring:, • LLM Observability: Monitoring LLM performance and usage with LangSmith and Weights & Biases., • Cost Tracking: Monitoring and optimizing costs with OpenMeter and custom dashboards., • Quality Monitoring: Setting up continuous evaluation pipelines to ensure model quality and reliability., • Environments vary by internship function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

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