AI Engineering Manager - Agentic Systems

We are seeking a hands-on AI Engineering Manager to lead R&D on LLM-based agentic workflows, data intelligence, and AI-first products. This role blends engineering management with deep data science expertise, modern AI tooling, and agent orchestration.

Requirements

• Deliver hands-on engineering management for an AI team of Data Scientists, ML Engineers, UI/Integration Engineers, and ML SDETs.
• Provide technical leadership, mentoring, and project oversight—scoping ML initiatives, allocating resources, and driving prototype → MVP → production with minimal handoffs.
• Own agentic AI systems that plan, reason, use tools/APIs, maintain memory/context, self-correct, and execute multi-step workflows autonomously.
• Design, implement, and productionize end-to-end RAG pipelines, balancing chunking, embeddings, indexing, latency, and cost.
• Lead foundation model pipelines for embedding generation, prompt engineering, and LLM-driven decisioning.
• Collaborate with Product, Engineering, and stakeholders to integrate agentic workflows using LangChain, Semantic Kernel, or custom orchestrators.
• Build/refine LLM/ML models for entity resolution, semantic search, matching, and data unification; identify automation opportunities for scalability.
• Design A/B experiments to evaluate agent responses, grounding, and quality; evolve memory architectures, vector search, and context management.
• Partner on integrations with enterprise APIs, backend systems, and cloud ML infra (e.g., AWS Bedrock).

Benefits

• Comprehensive Group medical insurance
• Accidental Insurance
• Life insurance
• Free online unlimited doctor consultations
• Employee Assistance Program (EAP)
• 36 annual leaves
• 26 weeks of maternity leave
• 15 days of paternity leave
• 01 week of additional off as recharge week every year globally
• Home office setup allowance
• Mobile & Internet Reimbursement
• Free meal