Build and deploy production AI services including agentic workflows, RAG pipelines, and LLM-integrated applications using Python and commercial foundation models.
Implement data-to-insight pipelines with document ingestion, embeddings, vectorization, and knowledge graphs.
Design secure API interfaces and containerize AI services with Docker and Kubernetes for deployment.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Design, develop, and deploy autonomous and multi-agent AI systems for reasoning, planning, and human-in-the-loop collaboration.
Engineer enterprise RAG pipelines with embeddings, hybrid retrieval, and prompt orchestration for explainable responses.
Build scalable backend services and APIs for enterprise AI workloads with security, reliability, and observability.
LTS builds an AI-native engineering platform to modernize legacy software systems, particularly for healthcare serving millions of Veterans. The engineering team is intentionally small, with every engineer having meaningful ownership and significant technical influence.
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.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Work directly with customers to understand their workflows and operational constraints.
Build and deploy AI-enabled applications, agents, and workflow automation using LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and integrations.
Trase Systems provides an end-to-end platform for deploying and optimizing AI in the enterprise, focusing on bridging the 'last mile' of AI adoption. As a startup founded in 2023, the team is small, agile, and collaborative, with a strong emphasis on innovation and direct customer impact.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Design and build agentic AI systems to automate complex workflows across ICON's software platform.
Develop LLM-powered features using state-of-the-art foundation models and APIs.
Architect multi-agent pipelines, tool-use systems, and MCP integrations.
ICON is a construction technology company that develops advanced 3D printing and robotic systems for building homes and structures. The company fosters an innovative, inclusive, and diverse work environment with a focus on pushing the boundaries of construction technology.
Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
Develop evaluation and testing approaches to measure model performance and improve solution quality.
Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
We are an end-to-end AI transformation partner guiding enterprises from complex challenges to clear outcomes. We are a convergence of successful firms dedicated to fostering a culture of innovation and professional growth.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
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.
Partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform.
Own the journey from initial exploration to production deployment, translating ambiguous goals into reliable services.
Work across product, software development, performance engineering, and customer-facing implementations.
Baseten powers mission-critical inference for dynamic AI companies like Cursor and Notion. They are rapidly growing, recently raised a $1.5B Series F, and foster a collaborative, forward-thinking culture.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Own Delivery End-to-End: Take ownership of features from design through to production.
Shape AI Agentic Systems: Build intelligent workflows using LLMs and agentic architectures.
We build production-ready AI agentic systems that reshape how financial institutions operate. We are a rapidly growing FinTech backed by major investors, recognized as Fintech of the Year for two consecutive years, with a team of experienced engineers and PhD-level AI specialists.
Build and ship AI features end-to-end, from model to system to user experience.
Design and iterate on prompts, tools, memory, and agent workflows for real-world reliability.
Debug full-stack issues and optimize for latency, cost, and production performance.
A1 builds a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The team is small, world-class, and focuses on rapid iteration and shipping high-quality AI products.
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.
Design and develop AI-powered applications using LLMs, Generative AI, and Machine Learning.
Build AI Copilots, AI Agents, and RAG solutions to improve software engineering and operational workflows.
Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
Planned Systems International (PSI) is a technology company that provides IT solutions and services to federal agencies, including the U.S. Department of Veterans Affairs. PSI is a mid-sized organization that values innovation and collaboration, fostering a culture of professional growth and support.
Work directly with customers to understand workflows and build production-ready AI applications.
Contribute to core platform and customer-specific integrations, applying AI/ML and LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and deployment.
Trase Systems, founded in 2023, is an AI company that simplifies enterprise AI adoption. It tops the Hugging Face GAIA Leaderboard and serves complex industries such as Healthcare, Oil & Gas, and National Security.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
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.