Full-Time Corporate Appointment AI Engineering Remote (India)

AI Workflow & Autonomous Agent Architect

Architect multi-agent autonomous systems, tool-calling pipelines, and production LLM orchestration platforms for global enterprises.

Compensation β‚Ή10,00,000 – β‚Ή18,00,000 / year + Equity Option
Location & work model Remote (India)
Experience requirement 2–5 Years
Hiring benchmark 5-day code audit
Section 01

Role Overview & Operational Scope

At Cehpoint, we build commercial AI automation systems that perform real work. As an AI Agent Architect, you will design, test, and deploy resilient autonomous agents capable of web browsing, document synthesis, database querying, and cross-system API execution.

Autonomous AI Agents LLM Fine-Tuning & Prompting Python / FastAPI LangChain / LlamaIndex Node.js Vector DBs (pgvector/Pinecone) Docker / Kubernetes Function Calling
Section 02

Key Responsibilities & Production Deliverables

  • Design and deploy multi-agent collaboration frameworks using state machines, feedback loops, and fallback guards.
  • Implement robust function calling and structured JSON tool-use pipelines across Gemini, Claude, and open-source models.
  • Build production RAG pipelines integrating dense semantic search, hybrid re-ranking, and pgvector knowledge bases.
  • Optimize model latency, token budgets, caching layers, and multi-tenant rate limiting.
  • Continuously evaluate agent behavior against hallucination benchmarks, safety policies, and regression test suites.
Section 03

Mandatory Foundational Knowledge

  • Deep understanding of LLM capabilities, attention mechanisms, context limits, and tokenization trade-offs.
  • Familiarity with agentic design patterns: ReAct, Plan-and-Solve, Self-Refine, and Multi-Agent consensus.
  • Strong computer science fundamentals: async concurrency, queuing architectures, and distributed systems.
Section 04

Mandatory Practical Skills & Architecture

  • Extensive hands-on Python (FastAPI/AsyncIO) and/or Node.js modern backend development.
  • Experience integrating OpenAI, Anthropic, Gemini, or OpenRouter APIs with complex tool-calling schemas.
  • Expertise with vector indexing (pgvector, Qdrant, Chroma) and embedding generation.
  • Proficiency in containerized deployment using Docker and Linux server administration.
Section 05

Problem Solving, Execution Rigor & Curiosity

  • Obsession with cutting-edge open-source LLM research, agentic frameworks, and autonomous tooling.
  • A builder mindset focused on creating autonomous workflows that solve real commercial problems.
  • Commitment to writing self-healing, deterministic agent code with rigorous error boundaries.
Section 06 · Practical evaluation benchmark

5-day live technical evaluation milestone

5-Day Live AI Milestone: Build a mini autonomous multi-agent pipeline that ingests unorganized business data, extracts structured parameters via tool-calling, and verifies its own outputs (strictly not exceeding 5 working days). Validated completion leads to immediate official offer letter issuance.

Institutional hiring protocol: candidates who clear resume screening take a live practical milestone of strictly 5 working days. Verifiable completion and code audit by your assigned engineering mentor is the sole prerequisite for the official offer letter.

Section 07

Compensation, Total Rewards & Advancement

  • Premium compensation (β‚Ή10,00,000–₹18,00,000) with annual review and equity participation options.
  • High-velocity startup culture with zero red tape and immense technical autonomy.
  • Full access to state-of-the-art GPU clusters, frontier LLM API credits, and research tooling.
  • Work from anywhere in India with flexible scheduling.
Section 08 · Direct inquiries

Dedicated inbox for this role

Questions, private repository links or portfolio references for this opening route straight to the engineering leads reviewing it.

ai-workflow-autonomous-agent-architect-careers@cehpoint.co.in Open mail client →

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