Forward Deployment Engineers – AI & Agentic Engineering
Marathon Health1 month ago
Remote, United StatesStaff+
Base Salary
$170k - $195k/yr
Responsibilities
- Deliver cross-cutting platform components, refactors, integrations, and high-leverage software features using coding agents and agentic engineering practices.
- Define and document agentic engineering standards, including spec-driven workflows, agent steering documents, custom Skills, MCP server patterns, subagent orchestration, and context engineering.
- Package reusable skills, plugins, templates, and internal documentation for adoption across the engineering organization.
- Drive architectural decisions across Engineering, Data, and Infrastructure, including API design, distributed systems, event-driven patterns, observability, and security.
- Build internal agents, MCP integrations, and RAG-backed applications with appropriate evaluation, guardrails, and cost discipline.
- Partner with engineering, product, and internal stakeholders on initiative scoping, sequencing, tradeoffs, and engineering investment decisions.
- Mentor senior and staff engineers through pairing sessions, design reviews, brown-bags, and hands-on collaboration.
- Promote healthcare-aware engineering practices covering PHI, BAA requirements, audit trails, clinical safety, and regulated change management.
Requirements
- BS or MS in Computer Science or a related field, or equivalent professional experience.
- 10+ years of professional software engineering experience, including significant experience at Senior, Staff, or Principal individual-contributor levels.
- Deep systems design and architecture expertise across distributed systems, API design, event-driven patterns, data flow, observability, and security.
- Strong proficiency in at least one of .NET, Python, or TypeScript, with working fluency in the others.
- Hands-on experience with cloud platforms, containers and Kubernetes, infrastructure as code, CI/CD pipelines, observability tooling, and data platforms.
- Routine use of coding agents such as Claude Code, Codex, or Cursor, including context management, subagent orchestration, hooks, Skills, and plugins.
- Working knowledge of MCP, Skills, slash commands, agent steering documents, and context-engineering practices.
- Production experience with spec-driven development and practical exposure to an agent development SDK or framework such as OpenAI Agent SDK or LangGraph.
- Working knowledge of RAG patterns, retrieval design, grounding, and tradeoffs among RAG, fine-tuning, and longer-context approaches.
- Demonstrated technical influence through patterns, libraries, frameworks, internal tooling, documentation, or mentorship adopted by other engineers.
- Comfort with product-adjacent work, problem framing, internal-customer conversations, MVP scoping, and engineering-investment decisions.
- Strong written and verbal communication skills for explaining technical tradeoffs to executives, clinicians, and engineers.
- Healthcare or regulated-industry experience, including HIPAA, HITRUST, or SOC 2, is desirable.
- Experience with Airflow, dbt, Databricks, modern data engineering, LLM evaluation, eval harnesses, hallucination and regression testing, and cost and latency monitoring is desirable.
- Cloud certification at the professional or architect level is desirable.
Tech Stack
Apache AirflowApache KafkaAWSAzureDatabricksdbtGitHub ActionsGoogle Cloud PlatformKubernetes.NETPythonSnowflakeTerraformTypeScript
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