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Job DescriptionSalary: The Role We are hiring a Founding Software Engineer to own and evolve our full technical stack. You will report directly to the CEO and have significant influence over architecture decisions, tooling, and product direction. This is a high-autonomy role for someone who wants to build something meaningful from the early stages and grow into a leadership position as the team scales. What You'll Do • Build and maintain our full-stack application across frontend, backend, APIs, and infrastructure, • Design and implement integrations with Shopify and other e-commerce platforms, • Own our AWS infrastructure: deployment pipelines, serverless functions, databases, event-driven architectures, • Develop data models and workflows that support insurance product delivery, claims processing, and merchant analytics, • Collaborate directly with the CEO to translate business priorities into technical execution, • Implement A/B testing frameworks, analytics instrumentation, and conversion optimization tooling, • Establish engineering best practices: CI/CD, code review, testing, documentation, and monitoring, • Make architectural choices that allow the platform to scale from dozens of merchants to thousands What We're Looking For • 2 to 6 years of professional software engineering experience, • Strong full-stack proficiency: you can build a clean frontend and a reliable backend, • Solid experience with AWS services (Lambda, DynamoDB, EventBridge, S3, API Gateway, or similar), • Proficiency in JavaScript/TypeScript and at least one modern frontend framework (React preferred), • Experience with Node.js and building RESTful or event-driven APIs, • Comfort working with relational and/or NoSQL databases (PostgreSQL, DynamoDB, Supabase, etc.), • Self-starter mentality: you thrive with ambiguity, take ownership, and ship without waiting for a spec, • Strong communication skills and comfort working directly with non-technical stakeholders Preferred Qualifications • Experience with Shopify app development, Shopify APIs, or the Shopify ecosystem, • Familiarity with e-commerce platforms, checkout flows, or post-purchase experiences, • Background in insurtech, fintech, or regulated industries, • Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation), • Prior experience at an early-stage startup or as a founding/first engineer, • Familiarity with Supabase and webhook-driven architectures What We Offer • Competitive salary commensurate with experience, • Direct access to leadership and outsized impact on product and company direction, • Health benefits and PTO Work Authorization Applicants must be authorized to work in the U.S. This position is not eligible for visa sponsorship.

Job Description Jiffy.com is seeking a Software Development Engineer with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting directly to an Engineering Manager and working closely with Product, GM's and other cross functional teams, you will lead the charge on delivering end-to-end features across our e-commerce platform from storefront and checkout to internal tools and platform services while running multiple AI-driven work streams in parallel. At Jiffy, engineers no longer write code by hand: every line that reaches production is produced, tested, reviewed, and deployed by coding agents (Claude Code, Codex, Cursor) under the direction of a human orchestrator. This role is perfect for an individual contributor who has already internalized the shift from “typing code” to “directing agents,” has strong architectural taste and review instincts, and wants to help define what an AI-native engineering org looks like. You will thrive here if you are a systems thinker, a builder by nature, and someone who gets more done by managing five parallel agents well than by writing a single function perfectly. At this time, Jiffy is not able to sponsor or take over sponsorship of an employment visa (e.g., H-1B) for this position. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future. Key Responsibilities • Orchestrate AI coding agents (Claude Code, Codex, Cursor) across 3–6 concurrent work streams spanning features, refactors, bug fixes, and investigations using worktrees, sub-agents, and background tasks to maximize parallel throughput., • Own features end-to-end: translate product intent into clear specifications, decompose work into agent-executable plans, drive agents through implementation, review every diff critically, run QA, land PRs, and verify production health., • Design and architect scalable, reliable systems across our stack Rails 8 / Solidus e-commerce, GraphQL APIs, React 19 front end, Kubernetes infrastructure holding the architectural and judgment calls that agents cannot make., • Raise the quality bar on AI-generated code by catching hallucinated APIs, enforcing secure and idiomatic patterns, and pushing back on output that is technically working but structurally wrong., • Build and evolve Jiffy’s internal AI tooling: author skills, rules, prompts, MCP integrations, and evaluation harnesses that make the whole engineering org faster. Contribute to our shared .ai/ skills and rules library., • Operate with production rigor: drive agents to produce meaningful test coverage (RSpec, Vitest, Playwright), monitor deploys, respond to incidents, and fully own the services you ship., • Partner cross-functionally with Product, Design, Ops, and peer engineering teams to define and ship features; participate in architecture and code reviews; mentor engineers on AI-native workflows and orchestration patterns., • Continuously identify where remaining manual work (QA, ops runbooks, data investigations, migrations) can be replaced by agents, and automate it. Requirements Basic Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of professional software engineering experience shipping production systems at scale., • Hands-on experience using AI coding agents (Claude Code, Codex, Cursor, or equivalent) as a primary development tool. This is mandatory. You must be able to walk through real features, refactors, or investigations delivered through agent orchestration — not occasional autocomplete usage., • Proven ability to run multiple agents in parallel and manage concurrent work streams without losing quality, context, or accountability., • Strong software design fundamentals: OO design, API design, data modeling, distributed-system reliability, and performance., • Proficiency in at least one server-side language (Ruby, Python, Go, Java, or equivalent) and one modern front-end stack (React / TypeScript or equivalent), with the expectation that agents produce the code while you direct, review, and validate it., • Experience with relational databases (Postgres / MySQL), SQL, and building or consuming REST or GraphQL APIs., • Elite code-review skills: the ability to read, critique, and correct diffs at speed is the core competency of an AI-first engineer., • Strong written communication — clear intent, clear PR descriptions, clear prompts. In an AI-first org, writing is the programming interface., • A high level of integrity, accountability, and ownership, with a commitment to excellence across every deliverable., • Desire to work in a fast-paced, ambiguous, high-autonomy environment.Preferred Qualifications, • AI Tooling Builder: Experience authoring or extending AI developer tooling — custom skills, slash commands, MCP servers, sub-agents, evaluation harnesses, or prompt libraries used by a team., • E-commerce Depth: Experience with Ruby on Rails and Solidus / Spree, or other large-scale e-commerce platforms., • Modern Front End: Experience with React 19, TypeScript, GraphQL (Apollo), Tailwind, and modern state management (React Query, XState, Jotai)., • Cloud Native Operations: Experience operating services on Kubernetes (Istio, KEDA, Flagger) and modern observability stacks, • Automated QA at Scale: Experience driving agents to maintain and extend test suites with Playwright, Vitest, and RSpec., • AI-Native Leadership: Track record of mentoring engineers on AI-native workflows, publishing internal patterns, or leading an organization through the shift away from manual coding., • Measurable Throughput Gains: Documented improvements in features-per-week, cycle time, or review time directly attributable to AI adoption., • High-Growth Environment: Experience shipping in a fast-paced, agile environment at a high-growth startup or tech company. Benefits What We Offer The base compensation for this role is expected to range from $170,000 - $220,000 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role. Total compensation may include base salary, performance-based bonuses, equity, and benefits. Final offers are tailored to each candidate and take into consideration their background and years of experience. • Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy., • Retirement Planning: 401(k), • Wellness Support: Annual wellness benefits to help you stay healthy and balanced., • Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup., • Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!, • Professional Development: Annual stipend to support your learning and career growth. EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Job Description What is the role? MerusCase offers a versatile, easy-to-use, cloud-based practice management solution for law firms. We are looking for a Software Engineer to join our MerusCase team. We are looking for PHP engineers who are interested in modernizing our tech stack to the latest serverless backend technologies along with React UI components. In this role, you will: • Develop new software product features and enhancements using SOLID design principles, • Produce clean, efficient, and maintainable code based on specifications, • Collaborate and partner with cross-functional teams such as Product Management and Customer Success to understand their needs and to come up with the best outcome, • Troubleshoot systems and customer issues and help in resolving those by identifying short-term and long-term solutions, • Increase the coverage of unit testing and automate the manual tasks whenever possible, • Actively participate in code reviews and create technical documentation, • Champion and demonstrate the best practices in day-to-day activities, • Lead various technical projects to elevate current products to the next level to handle the upcoming growth, • Support and develop software engineers by providing advice, coaching, and educational opportunities, • Other duties as assigned Qualifications • 3+ years' experience developing SaaS and/or eCommerce web applications, • BS in Computer Science or equivalent, • Proficiency with modern multi-paradigm languages; knowledge of PHP (preferred), Ruby, Java, Python, etc., • Demonstrable experience with ES6 and Typescript, • Knowledge of modern browser-based UI development with frameworks such as React and/or Angular, • Experience of any cloud environment (AWS preferred), • Experience in a relational database management system (MySQL preferred) and data modeling, • Experience with professional software engineering best practices for the full software development cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Who is the ideal candidate? • Self-motivated and passionate about learning, • Solid written and verbal communication skills, • Growth mindset, desire to learn and adopt new technologies, • Excellent analytical and problem-solving skills, • Great team player and able to work efficiently with minimal supervision Benefits • Competitive salary, • Paid vacation + sick and parental leave, • Remote working flexibility, • Company culture that encourages work / life balance, • 100% paid PPO medical, dental, and vision insurance, 401k matching, equity grants

Job DescriptionCompany Description SOCOTEC company is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®. Job Description We're hiring a Software Engineer to join our US engineering team and contribute meaningfully across our AI platform and product portfolio. This is a full-stack role with significant exposure to applied AI, data infrastructure, and enterprise automation. You'll write production code, own components end-to-end, and have a direct line of sight from your work to its business impact. This role is a great fit for an engineer with a few years of full-stack experience who wants to grow into AI platform work and take on real ownership. You'll be one of a handful of engineers shipping software used across SOCOTEC's global business units. Responsibilities • Design and build features end-to-end across modern React frontends and Python (Django / FastAPI) backends, • Own components and small services — from spec through deployment and operation, • Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM integrations, • Participate in architecture and design discussions; influence technical direction as you grow into the role, • Write clean, tested, maintainable code and participate in code reviews, • Collaborate closely with engineering lead, DevOps, and business stakeholders to translate requirements into shipped software, • Help maintain and improve developer practices: CI/CD, testing, documentation, and operational excellence Qualifications Required • 3+ years of professional full-stack software engineering experience, • Strong proficiency with React (or comparable modern frontend framework) and Python (Django, FastAPI, or similar), • Solid understanding of REST APIs, relational databases, and modern web application architecture, • Familiarity with containerized deployments (Docker), • Experience with cloud infrastructure (AWS/Azure) and CI/CD workflows (GitHub Actions or equivalent), • Excellent written and verbal communication; comfortable working across time zones and with non-technical stakeholders, • Curiosity about AI/ML and a genuine interest in building AI-powered products Strongly Preferred • Experience integrating with LLM APIs (OpenAI, Anthropic, or similar) in production, • Familiarity with one or more of: agent orchestration frameworks (LangGraph, LangChain), vector databases (Pinecone, Weaviate), or RAG architectures, • Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar), • Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) Nice to Have • Experience working on small engineering teams where individual ownership is high, • Exposure to enterprise SaaS or compliance-sensitive industries, • Background in AEC, construction tech, or industrial software. Additional Information For more information, please visit www.socotec.us Job Type: Full-Time All your information will be kept confidential according to EEO guidelines. SOCOTEC is an Equal Opportunity Employer.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Infrastructure Engineer - this is a fully remote role for US based candidates, they need to work EST schedule. Salary range: 170-220K USD yearly plus benefits. Our mission is to transform how money moves. We believe stablecoins will underpin a new financial fabric, one that is faster, more global, and more efficient than today's siloed systems. That is why we are building AUSD and the stack, a full service platform that makes issuing, managing, and integrating stablecoins seamless, whether you're a developer, fintech, or institution. With AUSD, stablecoins become programmable, composable, and ubiquitous by default. We believe digital dollars should be a public good: trusted, accessible, and built for real-world utility. Our mission is to drive adoption through customizable, user-friendly on-ramps that make stable, dollar-based value available on-chain. We're backed by world-class investors including Paradigm and Dragonfly, and we're growing a team to reimagine how value moves online. We're intentional about who we bring on. If you're passionate about stablecoins and want to help create more open, intuitive ways for people to engage with money, let's talk. ABOUT THE TEAM We bring the discipline of high-performance finance teams and the creativity of a fast-moving crypto-native startup. We're a small, mission-driven group of builders who move fast, sweat the details, and hold a high bar for excellence, in product, code, and culture. You'll be joining a tight-knit team that values clear thinking, extreme ownership, and high-velocity decision making. We operate in short feedback loops, support one another without ego, and are deeply motivated by the opportunity to build foundational infrastructure for the future of money. JOB SUMMARY We're looking for a Senior Infrastructure Engineer to design and build our internal platform that empowers product teams to ship software with confidence, reliability, and speed. This role brings a Software Engineering mindset to infrastructure: building reusable abstractions, internal services, developer tooling, and infrastructure primitives that reduce cognitive load for application teams and the Infrastructure team itself. You will own core platform components such as our TypeScript Pulumi codebase, Kubernetes-based runtime environments, and monitoring stack. The work centers on architecting scalable systems, enforcing engineering standards through code, and continuously improving developer experience through well-engineered platform capabilities. We value real-time collaboration and prefer candidates located close to Eastern Time, while welcoming exceptional engineers across Pacific Time through GMT. Regardless of where you are located, your working hours will need to have a majority overlap with ET business hours. BASIC QUALIFICATIONS 5+ years of professional Software Engineering experience, including substantial work in Infrastructure and Cloud domains Strong programming skills in TypeScript or another strictly typed language Strong understanding of distributed systems fundamentals (availability, consistency, observability, fault tolerance) Experience designing and maintaining infrastructure-as-code systems Deep understanding of AWS architecture Experience designing, operating, and scaling Kubernetes workloads Proven ability to build reusable systems and abstractions rather than one-off scripts PREFERRED QUALIFICATIONS Experience defining SLI’s/SLO’s, error budgets, and building incident tooling Experience improving Observability practices, defining alerts, operational dashboards and business metrics Familiarity with GitOps patterns and deployment automation technologies Expertise in DevEx or Developer Productivity Experience building Internal Development Platforms with focus on self-service and golden paths Experience in maintenance and operations of production-grade systems and on-call rotations

Job DescriptionSalary: Job Title: Principal Software Engineer Location: Miami, Florida or Ontario, Canada Function: AI Engineering for Clinical Trial Management Systems About Sitero Sitero is a next-generation clinical trial solutions partner, supporting more than 200 Pharmaceutical, Biotech, and Institutional Research Organizations globally. We leverage advanced technology, data, and AI to drive safety, compliance, quality, and operational efficiencyenabling our customers to bring life-changing therapies to market faster and more reliably. Our innovation is rooted in a clear mission: to advance clinical research through an AI-first, technology-enabled delivery model. As we scale, AI is no longer a featureit is foundational to how we build, operate, and deliver across the enterprise. Why Sitero? At Sitero, you will operate at the forefront of AI-driven transformation in clinical research. This role offers the opportunity to architect systems that directly impact human health while shaping how AI is embedded across products, workflows, and engineering practices. You will join a high-growth, innovation-focused environment where you can influence enterprise-wide strategy, work across disciplines, and help define what AI-native looks like in a regulated industry. About the Role We are seeking a Principal Software Engineer to define and lead the next generation of AI-powered Clinical Trial Management Systems. This is a highly strategic, hands-on leadership role responsible for architecting scalable, AI-native systems across our technology ecosystem. You will operate at the intersection of software architecture, machine learning infrastructure, and applied AI, driving both product innovation and internal engineering transformation. You will act as a technical authority and multiplier, shaping how AI is embedded into our platforms, how our teams build software, and how we scale intelligent systems across a global organization. Key Responsibilities Product modernization • Investigate, identify, and triage architectural improvements to modernize a core top 10 pharma product to be AI-enabled, • Build, manage, and lead a team of developers to ship an industry leading CTMS product, • Work cross-functionally with service delivery and commercial teams to help navigate and understand and translate technical designs to customer value, • Work directly with product management to deliver customer-delighting features AI Strategy & Architecture Leadership • Define and drive the enterprise AI architecture roadmap, aligning AI capabilities with product and business strategy, • Architect AI-native systems that integrate LLMs, multi-modal models, and intelligent agents into core clinical platforms, • Establish scalable patterns for model deployment, orchestration, evaluation, and governance in regulated environments AI-Native Engineering Transformation • Champion and institutionalize AI-augmented software development practices across engineering teams, • Drive adoption of LLM-powered workflows for code generation, testing, refactoring, documentation, and system design, • Establish best practices for human-in-the-loop AI development and engineering productivity acceleration Product Innovation & Intelligent Systems • Partner with Product, Clinical, and QA teams to embed AI-driven capabilities into Siteros platforms (e.g., automation, decision support, predictive insights), • Design and implement agentic systems that enhance workflows across clinical operations, safety, regulatory, and data management Technical Leadership & Influence • Serve as a senior technical leader and advisor across the organization, influencing architecture decisions and long-term strategy, • Mentor and elevate engineering talent, setting a high bar for technical excellence and AI fluency, • Drive alignment across cross-functional teams in a globally distributed environment Performance, Compliance & Scalability • Ensure AI systems meet GxP, regulatory, and data governance standards required in clinical research, • Balance innovation with robustness, explainability, and auditability, • Continuously optimize system performance, cost efficiency, and scalability Minimum Qualifications • Bachelors degree in Computer Science, Engineering, or related field (or equivalent practical experience), • 10+ years of experience in software engineering, with deep expertise in distributed systems and full-stack architecture, • 5+ years in senior technical leadership roles, driving architecture and influencing cross-functional teams, • 7+ years designing and scaling machine learning systems and infrastructure in production environments, • Proven experience with modern AI techniques, including LLMs, multi-modal models, and agent-based systems, • Deep hands-on experience integrating AI into real-world applications and production systems, • Demonstrated expertise in AI-augmented development workflows and engineering productivity tooling, • Experience working with large-scale data systems, high-performance computing, or cloud-native architectures Preferred Qualifications • Masters or PhD in Computer Science, Engineering, AI, or related field, • Experience building AI systems in regulated environments (e.g., healthcare, life sciences, finance), • Deep fluency in SQL and data engineering best practices, • Proven ability to lead enterprise-wide AI transformation initiatives, • Experience operating in complex, global, cross-functional organizations What Success Looks Like • AI is embedded as a core capability across Siteros platforms, not a bolt-on feature, • Engineering teams operate with AI-native workflows, significantly increasing speed and quality, • Scalable, compliant AI systems are deployed across clinical domains, driving measurable impact

Job Description Park Street Mission To help emerging and established alcoholic beverage companies and industry stakeholders build and manage successful businesses by providing innovative solutions and exceptional service. About Us Park Street is a leader in cloud-native software solutions and technology-enabled back-office services for alcoholic beverage companies around the world. The company’s software solutions include, among others, tools for business management, real-time performance tracking, freight and logistics management, and regulatory compliance. Park Street’s technology-enabled services, coupled with its extensive license infrastructure and industry expertise, provide an efficient, transparent, and scalable operating platform for the import and distribution of alcoholic beverages within a fully compliant regulatory framework. The company manages transactions and the related flow of goods to and from over 120 countries. Park Street was founded in 2003 by McKinsey & Company alumni and is led by a cohesive team of professionals with deep sector experience. Park Street team members share a commitment to integrity, innovation, and achieving successful outcomes for all stakeholders. The company values developing talent, providing opportunities for personal and professional growth, and rewarding achievement. The company is an Equal Employment Opportunity employer. Essential Duties and Responsibilities: Job Description This role is responsible for the design, development, and delivery of AI-powered features across Park Street's cloud-native platforms. The Senior Software Engineer — AI-Native Products operates across the full stack, owning work from the Next.js UI layer down to AWS infrastructure, with particular depth expected on the backend. There are no separate frontend and backend tracks; the expectation is full-stack ownership and the judgment to know when to go deep. The ideal candidate is adaptable, self-driven, proactive, motivated, and eager to learn, with hands-on experience building production AI features and a working practice built around AI coding tools. This role contributes directly to the quality, reliability, and evolution of the platforms that serve Park Street's clients and internal teams. Job Responsibilities Build AI-powered features end-to-end using Next.js, TypeScript, and the Vercel AI SDK — streaming UIs, multi-step agent flows, and the backend services that support them Design and maintain event-driven workflows on AWS: queues, containers, triggers, and the integrations that hold it all together under load Use AI coding tools as a genuine part of your daily workflow; be prepared to discuss in the interview how you use them and where you've found their limits Write code other engineers want to read and build systems other engineers can reason about Contribute to architecture decisions and be the person who flags the tradeoff nobody else noticed Partner with stakeholders and engineering peers to deliver features and improvements that serve our clients and internal teams Participate in code reviews, post-implementation retrospectives, and ongoing efforts to raise the quality of technical deliverables Proactively identify and surface risks, issues, and opportunities for improvement throughout the delivery process Education and/or Work Experience Requirements: 5+ years of professional software engineering experience, with recent work you're proud of and can speak to in detail Strong JavaScript and TypeScript — the language, not just the frameworks Genuine AWS depth on the backend: ECS/Fargate, SQS, DynamoDB, EventBridge, Lambda, S3, and the patterns that make distributed systems reliable Hands-on experience with AI coding tools (Claude Code, Cursor) and a considered point of view on where they help and where they fall short Experience building production AI features with the Vercel AI SDK, including agent patterns, RAG, and streaming Comfort working with ambiguity and making sound technical calls without needing a ticket for every decision Strong understanding of event-driven architecture (EDA), domain-driven design (DDD), and API design principles Experience with CDK/IaC, CI/CD pipelines, and observability practices Experience with Git or other source control systems Experience with Agile methodologies Strong communication skills; ability to document and communicate technical decisions clearly Fluency in English required Must be authorized to work in the USA. Physical Requirements: Must be able to sit for extended hours within the day Must be able to talk, listen, and speak clearly on the telephone

Job DescriptionCareer Renew is recruiting for one of its clients a Staff AI Engineer - this is a fully remote role for US-based candidates, as long as they can work EST hours. Salary range: 175-250K USD yearly plus benefits and equity. building the Hyperliquid Agent Runtime. Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and outcomes across dozens of concurrent strategies. Today, our agents are effective but independent. Each one runs its own logic, and when one discovers a winning pattern, a human has to manually propagate that insight across the fleet. We’re hiring a Staff AI Engineer to make that process autonomous: build the intelligence layer where the fleet learns from itself and gets smarter with every trade. This is a production role, not a research role. The feedback loop is immediate — your work either makes the agents more money or it doesn’t. Every trade is a measurable outcome. What You’ll Own Learning & Optimization The fleet generates thousands of trading decisions per day, each with a measurable outcome. You’ll build the systems that turn this stream into compounding intelligence: Design and implement the feedback loop that connects trade outcomes back to strategy improvement — signal selection, risk parameters, position sizing, and timing Build the evaluation framework that quantifies which signals, market conditions, and agent configurations actually predict profitable trades versus which ones are noise Develop automated strategy generation and testing — the system should explore new configurations, backtest them against real fleet data, and surface candidates for deployment Detect shifts in market conditions and adapt fleet behavior accordingly — what works in trending markets fails in choppy ones, and the system should recognize the difference Autonomous Fleet Intelligence Build the higher-order agents that manage and improve the fleet without human intervention: Automated fleet monitoring that catches configuration errors, degraded performance, and infrastructure issues across all agents continuously Performance attribution that decomposes every trade into its component drivers — was the signal right, was the execution efficient, was the exit well-timed — and feeds those insights back into strategy design Fleet coordination that manages concentration risk, capital allocation across strategies, and the balance between exploration (testing new approaches) and exploitation (scaling what works) Model & Inference Own the path from external LLM dependence to Senpi-controlled intelligence: Evaluate and implement the right model hosting strategy — from proxied external models with full telemetry, to fine-tuned domain-specific models on owned infrastructure Build the telemetry and data capture layer that makes learning possible — every decision, every evaluation, every outcome structured and queryable Determine whether and how domain-specific training (on trading data, market patterns, and fleet performance) outperforms general-purpose prompted models — then build the pipeline to make it happen Optimize inference for the specific demands of autonomous trading: many concurrent agents, structured decision outputs, cost-efficient at scale What We’re Looking For Must Have ML engineering in production — you’ve trained, deployed, and maintained models that run in production and directly impact business outcomes. Shipped systems, not just notebooks Reinforcement learning or online learning experience — you understand the practical challenges of learning from real-world outcomes rather than static datasets. You’ve built systems where model outputs generate actions that generate feedback that improves the model Strong software engineering — Python is your primary language, comfortable with Go or TypeScript for production services. You build data pipelines and distributed systems, not just models You’ve closed the loop — the single most important qualification. You’ve built a system where predictions lead to actions that generate outcomes that feed back into better predictions. End-to-end, in production, with measurable improvement over time Strong Plus Experience with financial ML — signal generation, alpha research, portfolio optimization, or execution optimization LLM fine-tuning and serving — PEFT/LoRA, vLLM, TGI, or custom inference pipelines in production Multi-agent systems — designing systems where autonomous agents coordinate, compete, or learn from each other Onchain data or DeFi protocol experience Background in domains where agents make sequential decisions under uncertainty — robotics, autonomous systems, game AI What This Role Is Not This is not an ML research role where you publish papers and hand off models to an engineering team. You own the full stack from data pipeline to deployed model to production outcome. This is also not a prompt engineering role. While today’s agents use prompted LLMs, the trajectory is toward learned behavior — agents that improve through experience, not through better instructions. Compensation & Package Compensation Total starting all-in comp: ~$450k Base salary: $175,000–$250,000 USD (location and experience dependent) Equity: ~1% initial stock grant, valued at $230,000 in last round, projected to double in next 6 months Plus: Team-wide eligibility for salary increases and bonuses tied to revenue and usage Plus: Token upside: pro-rata participation in Senpi’s token launch (planned for 2026) This role is meaningfully ownership-driven, with upside tied directly to company success.

Iru is looking for a Senior Software Engineer (Full-Stack, Front-End Dominant) to join their Connect team in Miami, Florida.

MaRe Head Spa System is looking for a Senior Software Engineer in Miami, Florida. Ideal candidates have experience in full-stack development, particularly with React and NodeJS, and possess strong cloud computing skills, especially in AWS.

Navon is Hiring! AI-Native Full-Stack Engineer (Ideally with a Fintech background). Full-stack JavaScript — React on the front, Node on the back.

About Mercor’s talent network** Join our Full-Stack Engineer Expert Network to connect with leading AI labs and companies seeking Full-Stack Engineering expertise. By applying, you're joining our Full-Stack Engineer talent network. Stay connected: When projects need Full-Stack Engineering expertis

Navon is Hiring! AI-Native Full-Stack Engineer (Ideally with a Fintech background). Full-stack JavaScript — React on the front, Node on the back.

Android, IOS or full-stack development (backend or full-stack). Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node. Write clean, efficient, and well-documented code, following best software engineering practices.

Wag! is looking for a software engineer to drive product development on the core web platforms for the Wag services marketplace. A strong understanding of web front-end engineering principles. A strong understanding of the network stack between the browser and backend API.

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At Gopuff, our engineering team is redefining how people access their everyday essentials. You’ll work closely with product managers, engineers, and stakeholders across the company to make thoughtful, scalable technology decisions that support our growing business. You’ll also contribute to rais

At least 3 years of experience as a paid software engineer working at a company where the primary product is software, or working at a software development agency. You are able to work full time, within 3 hours of US EST time zone. How do we solve this customer need and validate our assumptions with

We are looking for a skilled Software Engineer to join us. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

Job DescriptionJob DescriptionFull Stack DeveloperEmployment Type: Full Time, Mid-levelDepartment: Information Technology CGS is seeking an experienced, resourceful, and inventive Full Stack Web Developer to join our team. Experience with front and backend software development. This role will perfo

We are looking for a skilled Software Engineer to join us. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

Job DescriptionJob DescriptionFull Stack DeveloperEmployment Type: Full Time, Mid-levelDepartment: Information Technology CGS is seeking an experienced, resourceful, and inventive Full Stack Web Developer to join our team. Experience with front and backend software development. This role will perfo

We are looking for a skilled Software Engineer to join us. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

Job DescriptionJob DescriptionFull Stack DeveloperEmployment Type: Full Time, Mid-levelDepartment: Information Technology CGS is seeking an experienced, resourceful, and inventive Full Stack Web Developer to join our team. Skills and attributes for success:- Perform software applicati

What we’re looking for - Strong, practical software engineering skills; you can ship end-to-end and unblock yourself. This engineer will own core product delivery end-to-end: platform foundations, integrations, analytics surfaces, and the pilot launch. Design and implement a scalable integ

NET Engineer – Financial Services. Work closely with product managers, designers, and engineers to develop high-quality solutions.

Role Overview We’re hiring Software Engineers to build and ship apps for Mercor’s RL Studio platform. The role involves developing MCP servers and sometimes BUAs, integrating real software into sandbox environments, and ensuring apps are stable, testable, and production-ready.