Senior AI Engineer, Agents
Nacre Capital (company site, opens in a new tab)6+ yrsRemoteDirect career pageEst. 30–45 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and own the AI agent roadmap: identify, prioritize, and build AI-powered agents to automate complex tasks across sales, data, product, and other teams.
- Hands-on development of AI agents including architecture design, coding, debugging, and platform development (shared tool layers, memory, tracing, evaluation harness).
- Ensure production-level reliability and efficiency of AI solutions, including cost, latency, quality metrics, multi-turn interactions, and evaluation frameworks.
Minimum Requirements
- 6+ years of production software development experience; at least 2 years specifically working on LLM systems with real users.
- Strong practical experience with agentic AI systems: ReAct loops, tool/function calling, planners, state management, long-term memory, HITL steps, and streaming.
- Proficiency with Python and related frameworks (FastAPI, async job processing), plus cloud production experience with AWS or equivalent (including Docker and CI/CD).
- Experience with LangGraph or similar agent orchestration tools, and observability stacks like LangSmith or Langfuse.
Ideal Candidate Profile
- Technically creative thinker who can identify impactful AI agent use cases from business contexts, balancing feasibility and impact.
- Experienced architect who can design scalable, maintainable agent platforms focused on long-term reliability, modularity, and measurable evaluation.
- Highly hands-on engineer with deep production experience delivering and iterating AI agent code at pace, able to critique and improve existing architectures.