Reports to : Chief Technology Officer (CTO)

About the role

Elevation AI is building agentic AI systems that actually ship. Not demos. We are looking for an AI Engineering Manager to lead our Solutions engineering team and scale it from a tight, high caliber team into a world class delivery engine.

This is a hands-on leadership role where you will shape architecture, raise engineering standards, and drive predictable delivery for enterprise clients and internal stakeholders. You will have direct influence on our technical direction and a clear path to expanded scope as the team scales.

This role is not for you if you have not personally built, deployed, or actively experimented with AI agents, agentic workflows, or LLM-based systems in production. Managing a team that built them is not the same as building them yourself. If you are not currently experimenting with agentic frameworks, agentic memory, or orchestration tools like LangChain, LangGraph, or CrewAI — please do not apply.

What you'll do

- Lead and grow the team : Coach and mentor a high performance team through 1:1s, hiring, onboarding, and career development. Scale the group from 6 to 20 plus engineers while maintaining a high bar.
- Own technical direction : Architect and review agent based workflows using orchestration frameworks like LangChain, LangGraph, and CrewAI. Build production grade LLM systems with strong quality practices.
- Deliver consistently : Own the Solutions delivery roadmap. Turn ambiguous goals into crisp plans, manage dependencies, and ship on time.
- Build engineering excellence : Establish standards for code quality, testing,



observability, and reusable components. Minimize chaos and avoid heroics through clear ownership and lightweight documentation.
- Partner across teams and clients : Act as a technical point of contact in key client moments. Translate complex AI concepts into measurable outcomes. Collaborate across time zones with our US team. Flexible overlap hours required.

What we're looking for

- 7 to 10 years in software engineering, with meaningful and hands-on depth in applied AI and LLM systems — not adjacent to it, in it
- Strong fluency in Python, GitHub, LLMs, prompt engineering, RAG pipelines, and vector databases
- Proven track record scaling teams in a high growth environment, raising the bar while moving quick
- Strong systems thinking and judgment — you build platforms and reusable components, not one off scripts
- Clear communicator who can drive decisions and execution

What we offer

- A leadership seat at the intersection of agentic AI innovation and enterprise delivery
- Direct visibility and influence with executive leadership
- High ownership culture with modern tooling and real autonomy — you will shape standards, architecture, and hiring
- The chance to build a world class engineering culture from the ground up, with a clear growth path as the team scales

Application Question(s):

- Have you personally built or deployed a production LLM or agentic AI system — not managed a team that did it?

Experience :

- software engineering and AI/ML systems: 7 years (required)

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

📌 Ai Engineering Manager (Bengaluru)
🏢 Elevation AI
📍 Bengaluru