AI Harness Engineer (India)

AI Harness Engineer (India)

13 Oct
|
Happiest Resume
|
India

13 Oct

Happiest Resume

India

AI Harness Engineer ( Full Time )

Role Snapshot

We're hiring an experienced AI-native engineer to build the core systems behind Diligent's AI agents. This is not a prompt-writing role. This is a software engineering role for someone who can design reliable AI systems: prompts, context, tools, evals, orchestration, memory, observability, and production workflows.

Title: AI Harness Engineer

Experience: 5+ years

Location: Jaipur

Role type: Full-time

Works with: Founders, product, growth, and engineering teams

The Role

You'll work on the core agent architecture behind Diligent.Your job will be to build the harness around frontier models: prompt engineering, context engineering, tool design, agent orchestration, evals, memory, model routing, feedback loops, and human-in-the-loop systems.

What You'll Do

 Design and build AI agent workflows for marketing, growth, reporting, creative analysis, SEO/AEO, lead intelligence, and reputation monitoring.

 Build production-grade harnesses around LLMs using prompts, context, tools, memory, structured outputs, evals, guardrails, and human review loops.

 Work on prompt engineering, context engineering, tool calling, workflow decomposition, and agent orchestration.

 Build backend systems that connect with databases, APIs, CRMs, ad platforms, Slack, WhatsApp, dashboards, and internal tools.

 Design systems for ingesting, cleaning, storing, and retrieving business context for AI agents.

 Build evaluation pipelines to test prompt changes, model changes, agent quality, regressions, and edge cases.

 Implement model routing strategies to balance quality, latency, and cost. Improve observability: logs, traces, prompt versions, model outputs, failure analysis, and feedback loops.

 Work closely with product and growth teams to convert messy business workflows into reliable AI systems.

 Own engineering quality across architecture, code, testing, debugging, deployment, and maintenance.

Who You Are

Must-haves

 5+ years of software engineering experience.



Robust backend engineering and system design fundamentals.

 Hands-on experience building with LLMs, AI agents, prompt engineering, context engineering, RAG, tool calling, or agent frameworks.

 Solid software development fundamentals: clean code, APIs, databases, queues, testing, debugging, version control, and deployment.

 Experience with Python, Node.js, TypeScript, or similar backend stacks.

 Comfort working with Postgres, Redis, vector databases, queues, schedulers,and production services.

 Understanding of structured outputs, JSON schemas, retries, validation, error handling, and deterministic workflows.

 Ability to break ambiguous business workflows into clear technical systems.

 High ownership and comfort working in an early-stage startup environment.

Nice-to-haves

 Experience with OpenAI, Anthropic, LangGraph, CrewAI, LlamaIndex, LangChain, MCP, or similar tools.

 Experience building evals for AI systems.

 Experience with tool servers, workflow engines, agent infrastructure, or automation platforms.

 Experience with marketing/adtech/growth tools such as Meta Ads, Google,

 Ads, GA4, HubSpot, Zoho, Shopify, Slack, WhatsApp, or CRMs.

 Experience with AWS, GCP, Azure, Vercel, Render, Railway, or similar cloud platforms.

 Experience with observability, tracing, logging, and production monitoring.

This Role Is Not For You If

 You think AI engineering means only writing prompts.

 You prefer demos over production systems.

 You don't enjoy debugging messy edge cases.

 You need perfectly defined requirements before starting.

 You are uncomfortable owning systems end to end.

Interview Focus

 Backend engineering and system design.

 LLM/agent workflow experience beyond simple prompts.

 Prompt engineering, context engineering, and harness engineering depth.

 Ability to design evals, feedback loops, and observability for AI systems.

 Ability to decompose complex workflows into reliable technical components.

 Product thinking, ownership, and ability to work in ambiguity.

[email protected]

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📌 AI Harness Engineer (India)
🏢 Happiest Resume
📍 India

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