Mumbai, Maharashtra, IN
Information Technology
Full-Time
EXL Service
Overview
Job Description: Key Responsibilities
- Design and develop LLM-based solutions for business use cases (e.g., chatbots, summarisation, document intelligence).
- Build and optimise RAG (Retrieval Augmented Generation) pipelines including data ingestion, embeddings, and retrieval.
- Implement prompt engineering techniques (prompt design, chaining, optimisation).
- Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit) .
- Integrate LLM solutions with enterprise systems and structured/unstructured data sources.
- Apply basic guardrails and evaluation techniques to improve response quality and reduce hallucinations.
- Collaborate with cross-functional teams to ensure data quality, model performance, and deployment readiness . Document solutions and contribute to reusable components and best practices.
Must-Have Skills
Experience
- 2–4 years total experience , with exposure to AI/ML, NLP, or Data Engineering projects
- Hands-on experience or strong learning exposure to LLM / GenAI use cases (projects, POCs, academic work, or professional)
LLM / GenAI & Agentic Engineering
- Strong hands-on experience with:
- LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
- Experience with:
- LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures
Deep understanding of: LLM limitations, evaluation, and optimisation strategies
Core Engineering
- Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
- Deep data analysis experience and handling large volume of data
- Fabric/Azure Databricks/Snowflake data engineering integration skills
- Good exposure to:
- Cloud platforms (Azure/AWS/GCP)
- SQL Containers, CI/CD, monitoring
Data / AI Foundations (Mandatory)
Prior experience in one or more:
- Data Engineering (ETL/ELT, pipelines, orchestration)
- Data Science / ML lifecycle (especially NLP) Analytics engineering / data products
Good-to-Have
- Exposure to agentic workflows or tool calling concepts
- Basic knowledge of fine-tuning / prompt tuning (LoRA, PEFT – optional exposure)
- Experience with Azure OpenAI / Azure AI Search or similar stacks
- Awareness of enterprise AI considerations (data security, privacy, governance)
Responsibilities: Key Responsibilities
- Design and develop LLM-based solutions for business use cases (e.g., chatbots, summarisation, document intelligence).
- Build and optimise RAG (Retrieval Augmented Generation) pipelines including data ingestion, embeddings, and retrieval.
- Implement prompt engineering techniques (prompt design, chaining, optimisation).
- Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit) .
- Integrate LLM solutions with enterprise systems and structured/unstructured data sources.
- Apply basic guardrails and evaluation techniques to improve response quality and reduce hallucinations.
- Collaborate with cross-functional teams to ensure data quality, model performance, and deployment readiness . Document solutions and contribute to reusable components and best practices.
Must-Have Skills
Experience
- 2–4 years total experience , with exposure to AI/ML, NLP, or Data Engineering projects
- Hands-on experience or strong learning exposure to LLM / GenAI use cases (projects, POCs, academic work, or professional)
LLM / GenAI & Agentic Engineering
- Strong hands-on experience with:
- LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
- Experience with:
- LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures
Deep understanding of: LLM limitations, evaluation, and optimisation strategies
Core Engineering
- Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
- Deep data analysis experience and handling large volume of data
- Fabric/Azure Databricks/Snowflake data engineering integration skills
- Good exposure to:
- Cloud platforms (Azure/AWS/GCP)
- SQL Containers, CI/CD, monitoring
Data / AI Foundations (Mandatory)
Prior experience in one or more:
- Data Engineering (ETL/ELT, pipelines, orchestration)
- Data Science / ML lifecycle (especially NLP) Analytics engineering / data products
Good-to-Have
- Exposure to agentic workflows or tool calling concepts
- Basic knowledge of fine-tuning / prompt tuning (LoRA, PEFT – optional exposure)
- Experience with Azure OpenAI / Azure AI Search or similar stacks
- Awareness of enterprise AI considerations (data security, privacy, governance)
Qualifications: Key Responsibilities
- Design and develop LLM-based solutions for business use cases (e.g., chatbots, summarisation, document intelligence).
- Build and optimise RAG (Retrieval Augmented Generation) pipelines including data ingestion, embeddings, and retrieval.
- Implement prompt engineering techniques (prompt design, chaining, optimisation).
- Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit) .
- Integrate LLM solutions with enterprise systems and structured/unstructured data sources.
- Apply basic guardrails and evaluation techniques to improve response quality and reduce hallucinations.
- Collaborate with cross-functional teams to ensure data quality, model performance, and deployment readiness . Document solutions and contribute to reusable components and best practices.
Must-Have Skills
Experience
- 2–4 years total experience , with exposure to AI/ML, NLP, or Data Engineering projects
- Hands-on experience or strong learning exposure to LLM / GenAI use cases (projects, POCs, academic work, or professional)
LLM / GenAI & Agentic Engineering
- Strong hands-on experience with:
- LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
- Experience with:
- LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures
Deep understanding of: LLM limitations, evaluation, and optimisation strategies
Core Engineering
- Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
- Deep data analysis experience and handling large volume of data
- Fabric/Azure Databricks/Snowflake data engineering integration skills
- Good exposure to:
- Cloud platforms (Azure/AWS/GCP)
- SQL Containers, CI/CD, monitoring
Data / AI Foundations (Mandatory)
Prior experience in one or more:
- Data Engineering (ETL/ELT, pipelines, orchestration)
- Data Science / ML lifecycle (especially NLP) Analytics engineering / data products
Good-to-Have
- Exposure to agentic workflows or tool calling concepts
- Basic knowledge of fine-tuning / prompt tuning (LoRA, PEFT – optional exposure)
- Experience with Azure OpenAI / Azure AI Search or similar stacks
- Awareness of enterprise AI considerations (data security, privacy, governance)
Similar Jobs
View All
1 Day ago
Senior Software Engineer - VP
Information Technology
- Mumbai, Maharashtra, IN
Date live: 06/26/2026 Business Area: Global Payment Services Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000093121Embark your transformative journey as a Senior Software Engineer - VP. You are accountable for the integrati...
1 Day ago
Data Engineer
Information Technology
- Mumbai, Maharashtra, IN
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes...
2 Days ago
IT Specialist
Information Technology
- Bangalore, KA, India
Additional Information Job Number26077959 Job CategoryInformation Technology LocationMaradu, Kochi, Kerala, India, 682304 ScheduleFull Time Located Remotely?N Position Type Non-Management POSITION SUMMARYInstall, configure, manage, maintain, test, ev...
2 Days ago
System/Network Engineer
Information Technology
- 500000 - 1400000 INR - Yearly
- Bangalore, KA, India
Job Title: System / Network EngineerLocation: Coimbatore, Tamil NaduExperience: 5–6 Years Key Requirements:Strong experience in Linux AdministrationHands-on expertise in Cisco Networking (Routing & Switching)System Administration & TroubleshootingKn...
2 Days ago
Data Engineer III
Information Technology
- Bangalore, KA, India
Data Engineer III Join a Collaborative, Inclusive Team Driving Innovation in Healthcare Technology Make a Difference with Us Are you passionate about developing high-quality software that positively impacts people’s lives? Do you enjoy collaborating ...
2 Days ago
Data Engineer
Information Technology
- Bangalore, KA, India
Date live: 06/24/2026 Business Area: Trade and Working Capital Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000114909Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and d...
2 Days ago
.NET Developer
Information Technology
- Bangalore, KA, India
Lucknow, Uttar Pradesh Job Summary ABAP on HANA Key Responsibilities 1. Develop And Deliver Code For Assigned Projects Using .Net Framework And C#, Adhering To Established Quality Standards And Delivery Slas. 2. Maintain Existing Applications By Tr...
2 Days ago
IN_Senior Associate_Business Analyst_FS Tech_Advisory_Mumbai
Information Technology
- Bangalore, KA, India
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business a...
Talk to us
Feel free to call, email, or hit us up on our social media accounts.
Email
info@antaltechjobs.in