GEN AI Developer

Birlasoft
Pune
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4-6 yearsSkills: ["Collaboration","Communication","Technical documentation"]

Build GenAI applications end-to-end, from scratch, using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Write production-grade Python code, design architectures for large-scale structured/unstructured data, and implement multi-modal LLM experiences. Integrate GenAI backends with React/Streamlit UIs, modernize data pipelines for RAG/modular RAG, and apply fine-tuning (PEFT/QLoRA/LoRA). Own LLMOps and responsible AI practices while deploying on cloud platforms such as Azure, GCP, and AWS.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Birlasoft
Birlasoft
1 day ago

GEN AI Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build GenAI applications end-to-end, from scratch, using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Write production-grade Python code, design architectures for large-scale structured/unstructured data, and implement multi-modal LLM experiences. Integrate GenAI backends with React/Streamlit UIs, modernize data pipelines for RAG/modular RAG, and apply fine-tuning (PEFT/QLoRA/LoRA). Own LLMOps and responsible AI practices while deploying on cloud platforms such as Azure, GCP, and AWS.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
  • •Develop production-quality Python solutions and design large-scale architectures for structured and unstructured data.
  • •Implement multi-modal LLM application features (text chat completion, vision, and speech) and apply fine-tuning for domain use cases.
  • •Integrate user interfaces using React, Streamlit, and AG Grid, connecting front ends with GenAI backends.
  • •Set up LLMOps pipelines for CI/CD, monitoring, and responsible AI practices, including RAG and data modernization/transformations.

Key Requirements

  • •4-6 years of experience building production GenAI applications using Python.
  • •Proficiency with GenAI frameworks such as Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
  • •Ability to design architectures for large-scale structured and unstructured data, including RAG and Modular RAG.
  • •Experience with fine-tuning and optimization techniques such as PEFT, QLoRA, and LoRA for domain-specific use cases.
  • •Hands-on front-end and deployment skills using React/Streamlit/AG Grid and cloud platforms like Azure, GCP, or AWS.
Experience:4-6 years
Skills:CollaborationCommunicationTechnical documentation
Tech Stack:PythonAutogenCrew.aiLangGraphLlamaIndexLangChainReactStreamlitAG GridJavaScriptAzureGCPAWSPEFTQLoRALoRAPylintPyritHAX toolkitBleu

Company Brief

Birlasoft
Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Noida, India
WebsiteLinkedIn