Senior Associate – Ai Engineer, Financial Services, Advisory

Overview

Senior Associate in the Advisory line of service (Operations Management specialism) who designs, builds and deploys AI-powered applications, accelerators, prototypes and production-ready solutions for clients.

What you'll do

• Design, develop, and deploy AI-powered applications, accelerators, prototypes, and production-ready solutions.
• Build applications using LLMs, RAG architectures, AI agents, multi-agent systems, and orchestration frameworks.
• Develop backend services, APIs, integrations, and user interfaces for AI solutions.
• Integrate foundation models and AI services from leading AI platforms.
• Implement semantic search, vector databases, and enterprise knowledge retrieval solutions.
• Build and integrate AI solutions using APIs, enterprise systems, tool calling, and modern integration frameworks such as MCP.
• Optimize AI applications for quality, performance, scalability, reliability, and cost efficiency.
• Implement evaluation, testing, and monitoring mechanisms to improve AI solution quality.
• Collaborate with architects, engineers, and business stakeholders to deliver scalable solutions.
• Contribute to reusable frameworks, accelerators, and engineering best practices.

What you'll need

• 5+ years of experience.
• Master of Business Administration (MBA) degree.
• Strong understanding of LLMs, prompt engineering, RAG architectures, embeddings, vector databases, agentic AI, and tool calling.
• Hands-on experience with one or more GenAI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Experience working with one or more leading AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI/Gemini, AWS Bedrock, or similar technologies.
• Strong proficiency in Python.
• Experience building APIs using FastAPI, Flask, or similar frameworks.
• Experience developing applications using React, Next.js, Streamlit, or similar technologies.
• Good understanding of software design principles and development best practices.
• Experience with Azure, AWS, or GCP.
• Familiarity with containerization technologies such as Docker.
• Understanding of CI/CD and cloud-native development practices.

Nice to have

• Experience with AI evaluation and observability tools such as LangSmith, RAGAS, DeepEval, Langfuse, Arize, or similar platforms.
• Experience integrating AI solutions with enterprise applications and business systems.
• Familiarity with AI governance, guardrails, and responsible AI practices.

Details

• Location: Bengaluru Millenia.
• Job posting end date: August 7, 2026.