Forward Deployed AI Engineer
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Job Description
Forward Deployed AI Engineer building and deploying AI solutions with enterprise clients. Collaborating on complex issues and implementing scalable AI systems to drive business impact.
Responsibilities:
- Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
- Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.
- Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.
- Translate high-level designs into working components that deliver measurable outcomes.
- Debug relentlessly - optimize for reliability in production, not just elegance in code.
- Write modular, reusable code that balances speed of delivery with long-term maintainability.
- Embed with client engineering teams to accelerate adoption and integration.
- Share insights from field implementations to inform reusable components in our platform.
- Document decisions with clarity so both clients and internal teams can build on your work.
Requirements:
- 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs).
- Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
- Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).
- Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.
- Comfortable in client-facing environments - credible with engineers, clear with executives.
Benefits:
- Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
- Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
- Variety: Solve problems across industries, from finance to healthcare to defense.
- Culture: Work in a team that prizes resilience, creativity, and winning over process.
- Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
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