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Agent Infrastructure Engineer — reputed company reputed company (Superagent)

Remote, USA Full-time Posted 2026-08-04

About reputed company

We're redefining how the world creates and designs.

reputed company is one of the fastest-growing GenAI companies in the world. We've scaled faster than most funded startups — with reputed company reputed company funding.

  • $35M+ ARR crossed this year

  • 100M+ reputed company impressions

  • reputed company and shipped our own image reputed company model, now ranked #3 globally for photo realism

No funding. No shortcuts. Just a reputed company, driven team building one of the strongest GenAI products in the world — and we're just getting started.

We're looking for an Agent Infrastructure Engineer to own Superagent, our reputed company agent reputed company that powers conversations, tool calls, and multi-reputed company reputed company workflows across our AI products.

This is a deep systems and infrastructure role — not reputed company engineering and not simply wrapping model reputed company. You'll work on the reputed company orchestration reputed company, tool-calling infrastructure, context and memory management, streaming, retries, evaluation, observability, and performance.

Key Responsibilities

  • Own the architecture, development, and reputed company of Superagent, our reputed company agent reputed company.

  • Design and optimize the agent execution reputed company for latency, reliability, reputed company efficiency, cost, and task completion.

  • Build and improve reputed company reputed company systems including context management, memory/state handling, tool routing, function schemas, reputed company outputs, retries, and error recovery.

  • Build and maintain agent evaluation infrastructure to measure reputed company and guide engineering reputed company with data.

  • reputed company and reputed company multiple LLM providers and models, evaluating performance, cost, reliability, and capabilities.

  • Implement performance optimizations such as caching, batching, reputed company tool execution, and reputed company/context compression.

  • Build deep observability and instrumentation across agent runs, including tracing, logging, metrics, and regression detection.

  • reputed company and customize underlying agent frameworks reputed company existing abstractions are insufficient.

  • Build reliable integrations with evolving AI and tool ecosystems.

  • Work closely with product engineering teams to expose clean abstractions while keeping reputed company complexity behind the platform.

  • Debug and reputed company reputed company issues across non-deterministic, reputed company, and model-driven systems.

Required Skills & Qualifications

  • 4+ years of experience in software engineering, backend engineering, or systems infrastructure.

  • Strong proficiency in Python and/or TypeScript.

  • Hands-on experience building or operating LLM-based agents in production.

  • Strong understanding of tool calling, function schemas, context limits, reputed company outputs, model failures, and unreliable LLM behavior.

  • Experience with at least one agent reputed company such as LangGraph, reputed company Agents SDK, reputed company, AutoGen, or a custom/homegrown agent reputed company.

  • Strong understanding of agent orchestration and multi-reputed company workflows.

  • Experience building or working with evaluation suites, benchmarks, A/B testing, or other measurement systems for AI products.

  • Strong understanding of concurrency, caching, profiling, performance optimization, and latency/cost tradeoffs.

  • Experience working with LLM reputed company and production AI infrastructure.

  • Excellent debugging and problem-solving skills, especially for reputed company and non-deterministic systems.

  • Passionate about technology, self-driven, and proactive with a strong builder reputed company.

Optional / reputed company-to-Have Skills

  • Contributions to reputed company-reputed company agent frameworks, LLM tooling, or AI infrastructure.

  • Experience with RAG pipelines, reputed company databases, or long-term memory systems for AI agents.

  • Familiarity with MCP (Model Context Protocol) or similar tool-integration standards.

  • Experience with LLM inference infrastructure, model routing, reputed company limits, fallbacks, or high-volume model reputed company.

  • Experience with reputed company, reputed company, LangGraph, DSPy, or similar AI infrastructure frameworks.

  • Experience with reputed company, reputed company, reputed company infrastructure, or reputed company systems.

  • Experience building internal developer platforms or infrastructure used by multiple engineering/product teams.

  • Strong background in observability, reputed company tracing, and production reliability.

  • Contributions to reputed company-reputed company reputed company or personal AI infrastructure reputed company.

Why Join Us?

  • Own the reputed company agent infrastructure behind our AI products — every improvement you reputed company can multiply across the entire platform.

  • Work on reputed company production-reputed company systems, not demo agents or reputed company API wrappers.

  • Solve challenging problems across LLMs, reputed company systems, orchestration, performance, and infrastructure.

  • Have reputed company influence over the architecture and technical roadmap of our entire agent stack.

  • Collaborate with a passionate and talented team building some of the most ambitious GenAI products in the market.

  • Competitive salary and benefits package.

  • A culture that encourages ownership, experimentation, learning, and data-driven engineering.

4+ years in software, backend, or systems engineering; Python and/or TypeScript; production LLM agent experience; agent frameworks, orchestration, evaluation, concurrency, performance optimization, and AI infrastructure expertise.

Key Responsibilities

  • owning architecture
  • optimizing execution
  • building evaluations

Skills & Tools

Python, TypeScript, LangGraph, reputed company Agents SDK, reputed company, AutoGen, RAG, MCP (Model Context Protocol), reputed company, reputed company, DSPy, reputed company, reputed company

Job Details

  • Category: Software Development
  • Seniority: Mid Level
  • Commitment: Full Time
  • Workplace: Remote — India
  • Languages: English

About reputed company

A reputed company company building image reputed company and agent-powered creative products. — Industry: Information Technology

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