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Forward Deployed AI Engineer

Tribe AI· Product & Engineering
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RemoteFull-timePosted 6mo ago

About the role

Embedded AI engineering role focused on delivering AI solutions for enterprise clients. Lead client engagements, translate designs into production-ready components, and ensure scalable, reliable deployments in real-world environments.

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 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.

Qualifications

  • 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
  • Strong Python skills and familiarity with LangChain, LlamaIndex, Hugging Face, vector DBs.
  • Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
  • Ability to debug real-world issues (auth failures, networking, flaky data pipelines).
  • Problem-solver who thrives in ambiguity, focused on delivery and reliability over process.
  • Comfortable in client-facing environments; credible with engineers and clear with executives.

Skills

Required:PythonLangChainVector databasesCloud platformsCI/CDDebugging production issuesClient-facing communication
Nice to have:LlamaIndexHugging Face

Benefits

  • Impact: Ship AI systems that run at scale in Fortune 500 enterprises.
  • Growth: Hands-on with cutting-edge frameworks and field-tested instincts.
  • Variety: Solve problems across industries (finance, healthcare, defense).
  • Culture: Resilient, creative team-focused environment.
  • Trajectory: Develop technical and consulting skills in a demanding AI delivery role.
Last updated Jul 24, 2026. Interested? Apply on the company site.

About Tribe AI

The AI Delivery Layer for Enterprise

Tribe builds custom AI solutions that turn ambition into tangible business outcomes.

AI SolutionsEnterprise AI

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