Forward Deployed AI Engineer
- Location
- Remote (US)
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Listed
- 23 days ago
Skills & highlights for this role
- Python
- LangChain
- LlamaIndex
- Hugging Face
- vector databases
Also useful
- RAG pipelines
- AWS
- Azure
- GCP
- CI/CD
About the Role
We’re looking for a Forward Deployed AI Engineer to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environment is rarely “ideal.”
You’ll be the one who makes things work in the real world: taking designs from architects, wrestling them into production, and ensuring they scale reliably under real constraints. If you thrive on chaos, love solving problems end-to-end, and want your code to matter outside of demos, this role is for you.
Key Responsibilities
Client Engagement & Delivery
- 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.
Solution Implementation
- 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.
Collaboration & Enablement
- 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.
About You
- 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.
About Tribe AI
At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate - but many don’t have the capabilities to do it. That gap is our opportunity.
We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.
Why Join US
- 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.
From Tribe AI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Forward Deployed AI Engineer job at Tribe AI located?
Yes, this Forward Deployed AI Engineer opening at Tribe AI is listed as Remote (US). Always check Tribe AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Forward Deployed AI Engineer at Tribe AI?
For the Forward Deployed AI Engineer role, Tribe AI highlights 5+ years of relevant experience; experience with Python, LangChain, LlamaIndex, Hugging Face, vector databases. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Forward Deployed AI Engineer position at Tribe AI?
This listing links directly to Tribe AI's Ashby application page. You can apply directly on Tribe AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.