LLM Systems / AI Agent Engineer (Remote, Full-Time) [AS311]

10 hours, 14 minutes ago
Full-time
Senior
Software Development
Smart Working

Smart Working

Smart Working is a company that specializes in software development outsourcing and staff augmentation. They offer nearshore software development services, outsourcing solutions, and staff augmentation with a focus on providing highly skilled Indian de...

Internet Software & Services

Description

  • Build and evolve production AI agents on foundation models, currently AWS Bedrock.
  • Develop and maintain orchestration for production AI agents.
  • Apply context engineering to LLM and agent systems.
  • Build evaluation datasets and pipelines for tool selection, trajectory analysis, and LLM-as-judge evaluations.
  • Implement production observability, monitoring, tracing, and instrumentation for LLM systems.
  • Advise on retaining the custom orchestration layer or adopting frameworks such as LangGraph or LangChain.
  • Work as an individual contributor in a three-person product team alongside the AI function lead and a Full Stack Engineer.
  • Own and deliver measurable AI-agent engineering outcomes against roadmap timelines from onboarding.

Requirements

  • 2+ years of experience building production LLM agents, including tool-calling loops, streaming, context management, structured outputs, and orchestration frameworks.
  • Production experience with an agentic framework such as LangGraph, LangChain, or custom orchestration.
  • 1.5+ years of experience with evaluation-driven development, including evaluation datasets and pipelines for tool selection, trajectory evaluation, and LLM-as-judge workflows.
  • 1+ year of experience with LLM observability, tracing, and instrumentation using Langfuse, OpenTelemetry, or similar tools; hands-on agent-observability experience is required, with Langfuse strongly preferred.
  • 1+ year of experience with LLM cost optimization, including prompt caching, model selection and routing, and LLM FinOps.
  • 5+ years of backend engineering experience with TypeScript/Node, Postgres, and serverless AWS.
  • Experience shipping agentic AI systems to production, diagnosing failure modes, and implementing mitigations end to end.
  • 1+ year of AWS Bedrock or transferable foundation-model provider experience, such as OpenAI, Anthropic, Azure OpenAI, or Vertex AI.
  • 1+ year of experience with AI safety and guardrails, including prompt-injection screening, output validation, and untrusted-input handling; familiarity with MCP, multi-agent patterns, or geospatial data is a plus.

Benefits

  • Fixed shifts from 12:00 PM–9:30 PM IST in summer and 1:00 PM–10:30 PM IST in winter.
  • No weekend work.
  • Laptop and full medical insurance provided from day one.
  • Mentorship, community support, and knowledge-sharing forums.
  • Long-term remote-first career opportunities.

Interested in this position?

Apply directly on the company website

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