Design, build, deploy, and monitor LLM-powered document analysis pipelines that serve lawyers daily, meeting defined latency SLAs and accuracy benchmarks.
Architect multi-step, multi-agent systems for complex legal tasks with robust state management, tool calling, and human-in-the-loop checkpoints.
Collaborate with lawyers and product to translate ambiguous legal workflows into structured AI problems and iterate based on user feedback and eval results.
Contribute to production AI systems by building, testing, and improving LLM-powered document analysis features for lawyers.
Help clean, structure, and label legal data to power AI systems, building data pipelines that make models work in practice.
Implement bounded components of multi-step AI workflows for legal tasks under senior engineer supervision.
Cleary Gottlieb is a global law firm with 14 offices and approximately 1,100 lawyers from over 50 countries. Their internal AI team builds bespoke AI solutions for legal work, fostering a tight-knit, remote-first culture that values growth, honesty, and curiosity.
Lead discovery and development of AI agents, analytical solutions, and predictive models from concept to production.
Build advanced generative AI systems with multi-agent architectures, LangChain/LangGraph, and RAG for document analysis.
Implement MLOps/GenAIOps, real-time monitoring dashboards, and ethical AI safeguards like bias and prompt security testing.
Banco BV is a major Latin American financial institution with 37+ years turning credit into customer relationships. Named best financial institution to work for by GPTW in 2025, it has an agile, digital, and customer-centric culture.
Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.
Design AI-enabled legal workflows combining generative AI, legal data, and human expertise to improve legal outcomes.
Serve as a hands-on legal engineer, developing prompts, agent instructions, and multi-step agentic processes using platforms like Claude and Harvey.
Work directly with lawyers and legal operations professionals to convert legal tasks into structured, repeatable AI workflows.
Consilio is a legal services company specializing in eDiscovery, investigations, and legal operations. They are a large organization with a culture emphasizing excellence, passion, collaboration, agility, people, and vision.
Design and own LLM-powered agents end-to-end on AWS GenAI platform with LangChain/LangGraph and Bedrock.
Build and operate MCP servers that expose company data and services as structured tools for AI models.
Define testing, reliability, and operational practices for major agent services and mentor across the team.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies, including 30% of the Fortune 500, and have a diverse, inclusive culture that supports individual excellence.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
You will work directly within client environments, translating real operational needs into production-ready AI systems rather than proof-of-concept solutions.
The role spans technical discovery, architecture, software development, deployment, optimization, and ongoing delivery ownership.
You will design and build RAG systems, agentic AI workflows, backend services, and cloud-native architectures that operate at enterprise scale.
Jobgether uses an AI-powered matching process to connect candidates with roles at partner companies. They operate remotely and focus on efficient, fair hiring through automated shortlisting, with a commitment to data privacy and human oversight in final decisions.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use and multi-step execution.
Build evaluation frameworks to measure AI quality and reliability.
Gina's Tech Jobs is an IT staffing and recruiting agency that specializes in placing technology professionals. They partner with companies to fill roles such as this one, offering a wide range of positions.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
Design, build, and integrate AI/ML capabilities supporting mission workflows in secure government cloud environments using FedRAMP-authorized AWS GovCloud services.
Develop production-quality AI/ML applications and supporting services using Python, applying standard engineering practices such as source control, automated testing, and CI/CD.
Implement Generative AI and Retrieval-Augmented Generation (RAG) patterns, including document ingestion, embedding generation, retrieval, and model inference.
True Zero Technologies is a veteran-owned small business specializing in security resilience and technology services, focused on enabling people and technology to deliver top-tier outcomes. The company has been recognized as a Best Places to Work honoree and an Inc. 5000 fastest-growing company, with a people-first culture.
Designing, building, and deploying AI and Generative AI solutions like LLM-powered applications and chatbots.
Developing and optimizing prompt engineering strategies and RAG pipelines using vector databases.
Integrating AI models into cloud-based applications and implementing agent-based workflows.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns on transformative projects. Our culture embraces openness, respect, grit, and guts, combining employment with enjoyment in cross-functional engineering teams.
Own customer solutions end-to-end, rapidly prototyping and deploying agentic AI solutions on the Kinaxis Maestro platform.
Partner with product and engineering to convert field learnings into durable platform capabilities and drive adoption.
Operate as part of a tight, multi-disciplinary unit, trading tasks seamlessly to deliver customer impact.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. With over 2,000 employees and a culture of innovation, we are expanding our team to revolutionize supply chain solutions.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Deliver production-ready AI solutions in agile sprints, owning backend services, LLM pipelines, and front-end integrations.
Partner with strategic customers to design, implement, and deploy scalable AI-native solutions on the Now AI Platform.
Codify reusable patterns and influence platform strategy through field-tested insights and code.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. They are building an AI-native culture where technology and talent are unstoppable together.
Design and build production-grade AI agents and LLM-powered systems.
Develop multimodal data ingestion and structured information extraction pipelines for unstructured data.
Own AI solutions end-to-end from requirements to deployment and optimization.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. They have a remote-first culture with values centered on data nerdiness, teamwork, ownership, and positivity.
Build and ship AI-enabled applications end to end using LangChain, LangGraph, and LangSmith.
Own technical delivery across the full stack: backend services with Python/FastAPI and modern web UIs with TypeScript/React.
Collaborate closely with designers, product managers, and Flynn stakeholders to continuously deliver working software.
Flynn is building AI agents for field service work, giving technicians the knowledge they need to fix complex equipment on-site, the first time, every time. It is a spinout from Equips, a leader in equipment maintenance services, and is rolling out to its first customers.