Chief Architect - AI Systems and Distributed Systems Architecture

Remote
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AI Summary

Design and build a robust system processing 100+ weekly requests, orchestrating 10+ concurrent agents, and handling 100K+ row Target Account Lists (TALs) with strict tenant isolation. Develop a multi-agent, event-driven pipeline and shared state layer. Implement LLM evaluation frameworks and composite scoring engines.

Key Highlights
System Architecture
Multi-Agent Workflow Engineering
LLM & Extraction Engineering
Data & Integrations
Security & Observability
Key Responsibilities
Design a multi-agent, event-driven pipeline (Claude Agent SDK/equiv.)
Build core agents (Ingestion, Extraction, ICP Generation) with confidence-based gating and Human-in-the-Loop (HITL) checkpoints
Implement LLM evaluation frameworks (LangSmith)
Integrate REST APIs (HG Insights, Birddog webhooks) and build composite scoring engines across technographics and intent signals
Technical Skills Required
Python TypeScript Supabase Postgres Temporal Prefect Airflow REST APIs
Benefits & Perks
100% Remote
Flexible Work Arrangement

Job Description


You will be the chief architect taking our platform through its evolution: Your mandate is to build a robust system processing 100+ weekly requests, orchestrating 10+ concurrent agents, and handling 100K+ row Target Account Lists (TALs) with strict tenant isolation.


🛠️ Key Responsibilities

  • System Architecture: Design a multi-agent, event-driven pipeline (Claude Agent SDK/equiv.), a shared state layer (Supabase/Postgres), and Dynamic DAG orchestration (Temporal/Prefect).
  • Multi-Agent Workflow Engineering: Build core agents (Ingestion, Extraction, ICP Generation) with confidence-based gating and Human-in-the-Loop (HITL) checkpoints.
  • LLM & Extraction Engineering: Build high-accuracy extraction engines for multi-format documents and implement LLM evaluation frameworks (LangSmith).
  • Data & Integrations: Integrate REST APIs (HG Insights, Birddog webhooks) and build composite scoring engines across technographics and intent signals.
  • Security & Observability: Enforce strict RBAC, zero cross-tenant data leakage, and a full distributed tracing observability stack.


🎯 What You Bring

  • Experience: 7+ years in software engineering, AI systems, or distributed systems architecture.
  • Agentic AI Expertise: Deep hands-on experience with multi-agent systems, LLM tool-calling, and prompt engineering.
  • Tech Stack: Python/TypeScript, Supabase/Postgres, Temporal/Prefect/Airflow, and REST APIs.
  • Scale & Resilience: Proven track record of taking complex systems from MVP to production scale using fault-tolerant, asynchronous design.
  • Mindset: A balance of parsimony and extensibility—building exactly what is needed, but building it right.


📈 Success Metrics

  • Seamless evolution from MVP to a self-healing autonomous pipeline.
  • High extraction accuracy with robust circuit-breaker and dead-letter handling.
  • System throughput supporting 100K+ row TAL ingestions and multi-channel intakes.


🌍 Location

  • 100% Remote

Apply now or mail me to Sasidhar.m@technogenindia.com

#AI #SolutionArchitect #LLM #MultiAgentSystems #RemoteJobs #TechHiring #DistributedSystems #DataEngineering


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