Lead Assistant Manager - Lead Software Engineer

EXL Talent Acquisition Team; Chennai; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

ExlService Holdings, Inc. is seeking a Lead Assistant Manager - Lead Software Engineer to join the Advanced Analytics team in Chennai.

The role involves delivering AI/ML driven analytics projects for Payers, Providers, and Life Sciences sectors. You will design and deploy AI solutions using LLMs, build scalable Gen AI applications on a cloud Databricks setup, and lead delivery with a focus on data engineering, API integration and performance tuning.

Qualifications

• Bachelor's degree in engineering, MCA or a related field.
• 3-6 years of experience in application development.
• Experience delivering analytics or AI/ML projects.
• Experience building scalable AI solutions using LLMs.
• Proficiency in Python and/or R for data science.
• Exposure to cloud platforms (AWS/Azure/GCP) and Databricks.

Responsibilities

• Design and deploy AI solutions using LLMs.
• Build scalable gen AI apps in a cloud Databricks environment.
• Lead project delivery, gather requirements, design approach, and manage stakeholders.
• Translate analytics outputs into business-ready solutions.
• Develop data-powered decision support by communicating quantitative insights.
• Collaborate with clients and SMEs to shape project scope and approach.

Skills

LLMs

Python

R

Cloud platforms

Databricks

Data engineering

API development

RAG architecture

LangChain

MLOps

Docker

MLflow

CI/CD

Git

Vector databases

Education

Bachelor's/Master's in engineering or related

Tools

GitHub Copilot

Claude Code

Cursor

REST APIs

Streamlit

React

Databricks deployment

Model serving

Job description

Lead Assistant Manager - Lead Software Engineer

Trending

Job Description

Candidate will be a part of the Advanced Analytics team within IMU - HLS and SGU – Domain Platforms contribute to analytics projects for Payers, Providers and Life Sciences organizations. Candidate is expected to amalgamate cutting-edge approaches with domain expertise to enhance client's business needs. Experience in managing delivery of complex analysis driven consulting type of projects or advanced analytics driven AI/ML projects will add value to the candidature.

• Skilled AI Developer to design and deploy AI solutions using LLMs.
  • Build scalable gen AI applications involving cloud based databricks environment.
  • Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.
  • Lead project delivery individually or along with other members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder (client/internal) expectations
  • Experience/aptitude for developing solutions from scratch and translating analytics outputs into tangible business ready solutions
  • Facilitate data enabled decision making for customers by developing & communicating qualitative/quantitative analytics
  • Intermediate to expert level of proficiency in coding with Python/R programming for data science
  • Good to have working experience on one of the cloud platforms (AWS, Azure, GCP)
  • Good to have knowledge of US Healthcare industry (Data sources, Stakeholders etc.)
  • Ability to work with Clients, SMEs & other stakeholders to successfully understand and contribute in designing project/solution approach
  • Out-of-box thinking, being a team player and passion for solving complex problems are some key attributes expected
  • Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.

Responsibilities

• Skilled AI Developer to design and deploy AI solutions using LLMs.
  • Build scalable gen AI applications involving cloud based databricks environment.
  • Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.
  • Lead project delivery individually or along with other members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder (client/internal) expectations
  • Experience/aptitude for developing solutions from scratch and translating analytics outputs into tangible business ready solutions
  • Facilitate data enabled decision making for customers by developing & communicating qualitative/quantitative analytics
  • Intermediate to expert level of proficiency in coding with Python/R programming for data science
  • Good to have working experience on one of the cloud platforms (AWS, Azure, GCP)
  • Good to have knowledge of US Healthcare industry (Data sources, Stakeholders etc.)
  • Ability to work with Clients, SMEs & other stakeholders to successfully understand and contribute in designing project/solution approach
  • Out-of-box thinking, being a team player and passion for solving complex problems are some key attributes expected
  • Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.

Qualifications

Bachelor's degree in engineering, MCA or a related field. 3-6 years of experience in application development.

Skilled AI Developer to design and deploy AI solutions using LLMs. Build scalable gen AI applications involving cloud based databricks environment. Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.

Required Skills

• AI Developer Productivity Tools: GitHub Copilot, Claude Code, Cursor
• Application Development: REST APIs, Streamlit or React, application integration
• Cloud & Platforms: Hands-on experience with AWS/Azure/GCP, Databricks deployment and model serving
• Data Engineering: Data ingestion, ETL/ELT pipelines, structured/unstructured data processing, Delta Lake fundamentals
• Generative AI & LLMs: LangChain/LangGraph, RAG, Prompt Engineering, Context Engineering, Agentic AI, Function Calling, Vector Databases (ChromaDB, FAISS)
• MLOps/LLMOps: Git, CI/CD pipelines, Docker, MLflow, model deployment and monitoring
• Strong problem-solving and solution architecture skills