Live opening · Posted 11 days ago

Head of Engineering

Aigenc · Gurgaon
Instahyre 11-15 yrs
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyAigenc
LocationGurgaon
Experience11-15 yrs
SourceInstahyre
Listed11 days ago

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About the role

Description supplied by the original job listing.

We're hiring a Founding Head of Engineering to lead the technical vision, AI architecture, and engineering culture behind Aigenc. Ai. You'll work directly with the founders to turn the product vision into a reliable, scalable AI platform. This is a 01 company-building role for someone who can operate like a technical co-founder: defining architecture and making key AI and infrastructure decisions.
Responsibilities:
Technical vision and roadmap: Translate the company's product vision and ambiguous customer problems into a clear technical strategy and execution roadmap.
Platform and data infrastructure: Own secure data ingestion, reliable pipelines, and scalable back-end systems across campaign and performance data.
Agentic workflows and AI skills: Build reliable orchestration across intent, planning, skill routing, prompt systems, retrieval, and multi-step AI workflows.
Reliability and enterprise readiness: Build evaluation frameworks, observability, cost-performance, and automated testing for non-deterministic AI outputs.
Engineering leadership: Recruit, mentor, and lead a high-ownership tech team with strong standards for speed, quality, and technical judgment.
Requirements:
10+ years of total experience in software/AI engineering.
3+ years in a leadership/management role, ideally managing other leads or senior ICs.
Experience taking agentic AI or applied AI/ML systems into production environments.
Strong technical judgment with the ability to make long-term architecture and infrastructure decisions.
Ability to design scalable back-end systems, APIs, data pipelines, and low-latency workflows.
Deep understanding of workflow decomposition, RAG pipelines, tool-calling logic, state management, evals, and reliability for AI systems.
Hands-on with LangGraph, LangChain, Haystack, or similar agentic/LLM frameworks.
Experience with model evaluation, retrieval systems, vector databases, multimodal analysis, scoring systems, and fine-tuning where needed.
Strong engineering fundamentals across Python/Node, React, Postgres, Redis, queues, object storage, cloud infrastructure, and CI/CD.

Experience
11-15 yrs

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