AI & Agentic Systems Engineering, AVP

Overview

Engineer, AVP supporting the architecture and delivery of enterprise AI, agentic systems, LLM applications and financial analytics. The role combines full-stack, cloud, data and machine-learning engineering with stakeholder collaboration to move prototypes into enterprise deployment.

What you'll do

• Architect and deliver AI copilots, domain assistants and multi-agent workflows.
• Design agent orchestration, human-in-the-loop controls, safety mechanisms and monitoring.
• Build RAG solutions using semantic or hybrid search, embeddings, knowledge bases and vector databases.
• Establish LLMOps for prompt management, evaluation, observability, testing and cost monitoring.
• Develop React and TypeScript front ends, Python or Java services, APIs and microservices.
• Build cloud-native data, analytics and machine-learning solutions for investment use cases.
• Partner with product, business, technology and control stakeholders to deliver measurable outcomes.

What you'll need

• Hands-on experience delivering enterprise-scale distributed applications and production-grade AI solutions.
• Expertise in ReactJS, TypeScript and strong Python or Java engineering.
• Experience with APIs, microservices, asynchronous design, BigQuery and PostgreSQL.
• Practical expertise in LLM applications, AI agents, RAG, vector databases, model evaluation and LLMOps.
• Experience with cloud-native engineering, CI/CD, Docker, Kubernetes, infrastructure as code and automated testing.
• Grounding in machine learning, feature engineering, explainability and analytical modelling.
• Bachelor’s degree in Computer Science, Engineering, Science or a related discipline, or equivalent professional experience.

Nice to have

• Experience with asset management, ETFs or mutual funds and investment performance and risk metrics.
• Knowledge of FastAPI, Spring Boot, Terraform, OpenTelemetry, LangGraph, LangChain, Semantic Kernel, MLflow or LangSmith.

Details

• Location: Pune, India.
• Corporate title: AVP.