IN_Senior Associate_AI Engineer_Financial Services_Advisory_Mumbai

Responsibilities

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.

Mandatory skill set

s:

Generative AI

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.

Software Engineering

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.

Cloud & Platform Engineering

Experience with Azure, AWS, or GCP.

Familiarity with containerization technologies such as Docker.

Understanding of CI/CD and cloud-native development practices.

Preferred skill sets

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

Years of experience required

3

+

Education qualification

MBA

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Artificial Intelligence (AI)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Digital Tooling, Embracing Change, Emotional Regulation {자세히(17)}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 29, 2026