
Artificial Intelligence / Tech Engineer - Manager
interpath
Posted 2026-07-09
Tech & Engg
Job Description
Ovii's Interpretation of the Role
We are seeking a hands‑on AI technical lead who will design, build and ship LLM‑based agents, tools and copilots, and drive end‑to‑end AI pilots for our financial‑services clients. The role blends deep engineering expertise with stakeholder collaboration and mentorship of junior engineers.
Role Snapshot
- Hands‑on AI technical lead
- Build LLM agents, tools & copilots
- Own end‑to‑end AI pilots
- Mentor junior engineers
- Collaborate with PMO & business stakeholders
- Ensure production reliability, security & cost efficiency
Must-Have Requirements
- Python
- LangChain / LangGraph
- RAG & vector databases
- Cloud ML platforms (AWS / Azure / GCP)
- FastAPI / Node
- Docker
- Production AI deployment
- Portfolio of shipped AI work
- software engineering
- machine learning
- AI engineering
- LLM/agent development
- cloud ML platforms
- technical project delivery
- Post Graduation degree or MBA or equivalent professional certification
- Advanced degree in Computer Science, Machine Learning or Engineering
Nice-to-Have Signals
- MLOps / LLMOps experience
- Team‑lead experience
- GenAI production applications
- Domain knowledge in financial services
- MBA or commercial‑acumen certification
- Advanced CS/ML/Engineering degree
- GenAI production
- MLOps / LLMOps
- team leadership
- financial services domain
- commercial acumen
Work Setup
- Location: Gurugram, India
- Work mode: ONSITE
- Employment type: Full-Time
Application Requirements
- Portfolio required
- GitHub required
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Travel requirement
- Coding test
What You'll Likely Work On
- Design and implement LLM agents, tools, copilots and their integrations, including planning, tool‑calling, guardrails and evaluation
- Lead priority AI use cases from scoping and prototyping through piloting, hardening and production rollout
- Serve as technical SME for business teams, translating problems into AI solutions and de‑risking delivery
- Integrate AI solutions with enterprise systems, data pipelines and MLOps frameworks while ensuring reliability, security and cost‑efficiency
- Define technical standards, create reusable accelerators and mentor junior engineers
- Partner with the PMO Lead and AI Support to track delivery progress and provide stakeholder updates
Good Fit If You Have
- Experience shipping production GenAI applications or agents
- Previous team‑lead or people‑management experience
- Domain knowledge of financial services or related business areas
- Commercial acumen demonstrated through an MBA or equivalent professional certification
- Advanced degree in Computer Science, Machine Learning or Engineering
Skills
- Python
- LangChain / LangGraph
- RAG & vector databases (pgvector, Pinecone, Weaviate)
- Cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex)
- FastAPI / Node
- Docker
- MLOps / LLMOps
- Production AI deployment
- Technical mentorship