Source Job

US 3w PTO

  • 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.

Python Generative AI RAG AWS GovCloud Machine Learning

20 jobs similar to AI/ML Engineer

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US

  • 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.

United States

  • Design, build, and maintain enterprise AI platform capabilities for LLMs, AI agents, RAG, and GenAI applications.
  • Develop reusable AI harnesses and evaluation frameworks to automate testing, model benchmarking, and quality assurance.
  • Implement observability, LLMOps pipelines, and scalable backend services using cloud-native and containerized architectures.

LTS provides technology solutions supporting high-visibility federal missions. The company values innovation, growth, and collaboration.

United States

  • 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.

$170,000–$190,000/yr
US Unlimited PTO

  • 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.

$160,000–$240,000/yr
US

  • 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.

US

  • Define and execute AI architecture strategies and technical roadmaps aligned with organizational goals.
  • Design scalable AI platforms leveraging Generative AI, LLMs, RAG, and automation.
  • Lead technical evaluations of emerging AI technologies and guide teams from proof-of-concept to production.

LTS is a technology solutions provider focused on AI and digital transformation for federal and enterprise clients. They foster a culture of innovation, growth, and collaboration.

US

  • Design, develop, and deploy production-ready generative AI and machine learning applications.
  • Collaborate with cross-functional teams to integrate AI capabilities into business systems.
  • Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.

The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.

$120,000–$150,000/yr
US

  • Lead client AI initiatives from discovery through production deployment.
  • Design and implement production-ready GenAI solutions using Amazon Bedrock and RAG pipelines.
  • Translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.

Innovative Solutions is a technology consulting firm that helps clients implement AI and cloud solutions. The company culture emphasizes innovation and client partnership, though specific size is not disclosed.

$130,693–$180,323/yr
Canada

  • Lead the design and implementation of complex ML/AI systems end-to-end within client environments.
  • Embed directly with client teams, translating business problems into AI system designs.
  • Define AI architecture standards and mentor engineers to drive adoption.

Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. The company values ownership and craft, with a team that ships production-ready AI in 30 to 45 days.

US Unlimited PTO

  • 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.

  • Build and evolve shared AI capabilities and reusable services for construction software products.
  • Design and implement production-grade AI systems including LLM-based experiences and agentic workflows.
  • Partner with product teams to identify cross-product opportunities and support integration of shared capabilities.

We are a technology company specializing in data science and AI solutions. With over 1,800 talents across 7 global sites, we are a Great Place to Work certified employer that values diversity and inclusion.

Global

  • Define and evolve enterprise AI architecture patterns for LLM integration, RAG, agentic workflows, and prompt orchestration.
  • Design and build reusable AI components and shared platform services for observability, logging, and lifecycle management.
  • Architect engineering controls for responsible AI, access management, and governance compliance.

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians with products like Hivemind autonomy software and V-BAT aircraft. The company has offices worldwide and a culture that emphasizes innovation and mission impact.

US

  • 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.

They engineer high technology solutions for defense and scientific missions. With a global team of 12,000+ professionals, they value trust, honesty, and innovation.

US

  • 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.

$161,000–$221,500/yr
United States

  • 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.
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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.

Canada

  • Design and develop advanced AI agent platforms for enterprise automation and intelligent customer experiences.
  • Architect agent workflows incorporating reasoning, tool usage, retrieval, guardrails, and performance monitoring.
  • Build scalable Python services and AI platform components deployed in cloud environments.

Our partner is a technology company developing advanced agentic AI platforms for enterprise automation. They foster an inclusive, remote-friendly culture with a focus on innovation and collaboration.

LATAM

  • Lead end-to-end project delivery with clear governance and stakeholder communication.
  • Mentor junior engineers and contribute to proposals and new business initiatives.
  • Design and build RAG systems, agentic frameworks, and LLM-powered solutions for production.

Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company is dedicated to unlocking value and fostering innovation by harnessing world-class talent and data-driven strategy.

$153,000–$180,000/yr
US

  • 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.
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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.

Global

  • Lead the delivery of AI projects end-to-end, establishing technical standards and mentoring a high-performing team.
  • Guide the design and delivery of RAG systems, agentic frameworks, and LLM-powered solutions for production.
  • Develop evaluation frameworks and quality standards to ensure reliable AI system performance.

Blend is a premier AI services provider that co-creates impactful solutions using data science, AI, and technology. The company fosters a culture of innovation and collaboration, with a focus on aligning human expertise with artificial intelligence.

Latin America

  • Design and implement Retrieval-Augmented Generation (RAG) architectures using AWS Bedrock.
  • Build scalable AI pipelines for multi-source data ingestion and retrieval.
  • Develop conversational AI experiences for enterprise knowledge management.

Oowlish is a rapidly expanding software development company based in Latin America, recognized as a Great Place to Work. They partner with premier clients from the United States and Europe, offering a remote work environment with opportunities for professional growth and international impact.