Generative AI Developer

Birlasoft; India; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Job summary

Birlasoft is seeking a Generative AI Developer to design and deliver GenAI applications across multiple locations in India, including Noida, HYD, Bengaluru, Pune, Chennai, and Mumbai.

You will implement Python-based GenAI solutions using Autogen, LangGraph, LangChain, LlamaIndex, and related tools, integrate front-end components with React/Streamlit, and build scalable data architectures for large-scale data handling.

Qualifications

• 4+ years of experience in GenAI development.
• Proficient in Python for building GenAI applications and automation.
• Experience with LLM frameworks and large-scale data handling.
• Knowledge of PEFT/LoRA/QLoRA and model fine-tuning.
• Familiarity with responsible AI practices and MLOps.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Application development: build GenAI apps from scratch using GenAI frameworks.
• Python programming to create high-quality code for GenAI solutions.
• Design and implement architectures for large-scale data handling.
• Work on multi-modal LLM applications including vision and speech models.
• Fine-tune LLMs for domain-specific data and use cases.
• Front-end integration with React, Streamlit, and AG Grid.
• Data modernization and transformation pipelines for GenAI apps.
• Set up LLMOps pipelines for CI/CD and monitoring.
• Ensure responsible AI practices are embedded in development.

Skills

Python programming

GenAI frameworks

LLM concepts

Data architectures

Front-end integration

Cloud platforms

PEFT/LoRA

LLMOps

Responsible AI

RAG architectures

OCR/Document intelligence

API integration

Data curation

Technical documentation

Collaboration

Tools

Autogen

Crew.ai

LangGraph

LlamaIndex

LangChain

React

Streamlit

AG Grid

Azure

GCP

AWS

Job description

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Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Generative AI Developer

Description:

Area(s) of responsibility

Job Title: GEN AI Developer
Location - Noida/HYD/Bengaluru/Pune/Chennai/Mumbai
Experience Required - 4+ years

Key Responsibilities

• Application Development: Build GenAI applications from scratch using frameworks like Autogen (applied or acquired), Crew.ai, LangGraph, LlamaIndex, and LangChain.
• Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions.
• Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
• Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
• Fine-tune SLM(Small Language Model) for domain specific data and use cases.
• Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends.
• Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications.
• Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases.
• LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring.
• Responsible AI Practices: Ensure ethical AI practices are embedded in the development process.
• innovation.

Required Skills

• Python Programming: Deep expertise in Python for building GenAI applications and automation tools.
• Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc.
• LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
• Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
• Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
• Fine-tune SLM(Small Language Model) for domain specific data and use cases.
• Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc.
• Anti-hallucination and anti-gibberish tools such as Bleu etc.
• Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development.
• Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. (any two cloud exp.)
• Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. (any one is fine)
• LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management.
• Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations.
• RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures.
• Data Modernization: Expertise in modernizing and transforming data for GenAI applications.
• OCR and Document Intelligence: Proficiency in OCR and document intelligence using cloud-based tools.
• API Integration: Experience with REST, SOAP, and other protocols for API integration.
• Data Curation: Expertise in building automated data curation and preprocessing pipelines.
• Technical Documentation: Ability to create clear and comprehensive technical documentation.
• Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams.