Director, Engineering Lead - GenAI DevAssist Tools and Infrastructure
Fmr LLC
Durham, NC, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Cloud Computing
Continuous Integration
Programming Tools
Distributed Systems
Reliability Engineering
Large Language Models
AI Platforms
Job description
We are seeking an Engineering Lead to build, run, and scale GenAI-powered developer assistance platforms. This is a hands-on leadership role combining deep technical execution, platform ownership at scale, applied AI experience, and people management. Key responsibilities include:
- Design, build, and operate GenAI DevAssist tools and infrastructure including copilots, agents, APIs, and SDKs
- Remain hands-on by contributing code, reviewing pull requests, prototyping solutions, and resolving production issues
- Own scalability, reliability, security, observability, and cost efficiency of AI platforms
- Establish standards for token efficiency, caching, context management, and guardrails
- Apply practical experience with LLMs, embeddings, agents, and tool-calling frameworks
- Evaluate and integrate models with a focus on performance, cost, and intent fidelity
- Drive responsible AI practices including evaluation, safety, and governance
- Lead, coach, and develop a team of engineers delivering GenAI platforms
- Set clear technical direction, priorities, and expectations
- Support hiring, onboarding, performance development, and career growth
- Foster a culture of curiosity, collaboration, accountability, and continuous learning
- Partner closely with product, security, SRE, UX, finance, and legal teams
- Act as a trusted technical leader for teams adopting GenAI DevAssist capabilities
Requirements
Do you have experience in Team management?, * Strong background in platform engineering, distributed systems, or developer tooling
- Proven experience operating production platforms at scale
- Hands-on experience with cloud-native systems, APIs, CI/CD, and observability
- Practical exposure to GenAI or AI-powered systems
- An inquisitive, collaborative mindset with experience managing and mentoring engineers
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