Agent Infrastructure Engineer — Core Harness (Superagent)

ImagineArt · Remote · India ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • Python or TypeScript
  • LLM Agent Infrastructure
  • 4+ years experience
  • GenAI Product

ImagineArt is a fast-growing GenAI company that has built a top-ranked image generation model without external funding. You will own Superagent, the infrastructure powering conversations and multi-step workflows across their platform.

This is a deep systems role involving the agent execution loop, memory management, and observability. You will optimize for latency, cost, and reliability while integrating multiple LLM providers.

What you'll do

  • Own architecture and evolution of the Superagent harness
  • Optimize agent loops for latency, cost, and reliability
  • Build context management, memory, and tool routing systems
  • Create evaluation infrastructure to measure agent quality
  • Benchmark multiple LLM providers for performance and cost
  • Implement caching, batching, and prompt compression
  • Add deep observability including tracing and metrics
  • Debug complex issues in non-deterministic distributed systems

What you'll need

  • 4+ years in software, backend, or systems engineering
  • Strong proficiency in Python and/or TypeScript
  • Production experience building LLM-based agents
  • Knowledge of tool calling, schemas, and structured outputs
  • Experience with agent frameworks like LangGraph or CrewAI
  • Understanding of agent orchestration and multi-step workflows
  • Experience with evaluation suites, benchmarks, or A/B testing
  • Strong grasp of concurrency, caching, and performance tuning

Nice to have

  • Contributions to open-source agent frameworks or AI tools
  • Experience with RAG pipelines or vector databases
  • Familiarity with Model Context Protocol (MCP)
  • Knowledge of LLM inference infrastructure and routing
  • Experience with Kubernetes, Docker, or cloud infrastructure
  • Background in distributed tracing and production reliability

Stack

  • Python
  • TypeScript
  • LangGraph
  • OpenAI Agents SDK
  • CrewAI
  • AutoGen
  • LangChain
  • LlamaIndex
  • DSPy
  • Kubernetes
  • Docker