Forward Deployed Engineer (FDE)|| Remote
Forward Deployed Engineer (FDE) Remote Phone + Video Job description: Primary Responsibilities Include: Design, build, and ship AI-enabled solutions that integrate with enterprise platforms, business workflows, and data systems Builds with agentic coding tools as their default way of working. Can show recent project experience and real work built with Claude/Claude Code including repo, demo or live product, not a course certificate. Ideally can also share GitHub repositories Claude Code / real projects. Use AI coding tools and agents across requirements, development, testing, and deployment Build APIs, microservices, and cloud-native components with strong CI/CD, DevSecOps, and observability practices Review, validate, and refine AI-generated code to keep it clean, secure, and maintainable Required Qualifications 5+ years of software engineering experience, with a proven track record in APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability 5+ years working on agile and lean teams, including practices such as pair or mob programming 3+ years building solutions on a Python stack, with hands-on experience in generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval 2+ years integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes Strong communication skills for cross-functional collaboration and stakeholder interaction How You Work with AI What sets candidates apart is how effectively they build with AI today. You will stand out if you: Use tools Claude Code, GitHub Copilot, or throughout your workflow Know when to trust AI output and when to challenge, correct, or rewrite it Move quickly from requirements to working software while keeping quality high Are comfortable working with AI agents and automated workflows across the lifecycle Learn new tools, models, and practices quickly as they evolve Focus on outcomes and enjoy fast-moving environments
Nice to Have
Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing model fit or degradation Experience in healthcare or claims processing environments.