About the Role
We're looking for a Technical Lead to own our AI & Engineering initiatives, driving the design and delivery of production-grade AI systems with Backend System while leading a cross-functional engineering team.
This is a hands-on engineering leadership role focused on building production-grade AI applications and scalable backend systems. It is not primarily a research or model-training role.
Key Responsibilities
- Design and deploy LLM-powered pipelines, including RAG, agentic workflows
- Architect distributed backend systems using Kafka, Redis, and cloud infrastructure (Azure)
- Design end-to-end AI application architecture covering LLM orchestration, RAG, vector databases, model APIs, evaluation, observability, and backend services.
- Lead and mentor a team of backend engineers & QA
- Own infrastructure decisions including cloud, cost optimization, and security/compliance practices
- Collaborate with product and business stakeholders to translate requirements into scalable technical solutions
- Drive evals, prompt engineering, and continuous improvement of AI system accuracy and reliability
Required Skills
- Strong hands-on experience with LLM , RAG pipelines, vector search, and prompt engineering
- Proficiency in Python and Node.js/TypeScript; experience with FastAPI/Express.js
- Experience with Kafka, Redis, MongoDB, and distributed system design
- Working knowledge of LLM APIs (OpenAI, Gemini)
- Cloud experience (Azure) and containerization (Docker)
- Proven experience leading and mentoring engineering teams
Must Have
- Proficiency in Node JS, Python and MongoDB
- Distributed System Skills
- System Design Skills
- Hands on experience in Designing and Maintaining Backend System
Good to Have
- Experience building AI agents and RAG based system
- Exposure to OCR and multi-modal document pipelines
- Familiarity with security/compliance frameworks such as ISO 27001
