Live opening · Posted 7 days ago

GEN AI Lead Developer

Birlasoft · Greater Bengaluru Area (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyBirlasoft
LocationGreater Bengaluru Area (On-site)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Area(s) of responsibility
Job Title: AI ML developer
Experience: 6-8 Years only
Location- Hyderabad/Noida
Job Summary - We are seeking a AI ML Developer with a strong foundation in Generative AI (GenAI) to develop, and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications.
Key Responsibilities
6-8 years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
Experience delivering enterprise AI, or GenAI solutions into production environments.
Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components
Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
Strong Python development skills.
Experience building REST APIs, microservices and implementing cloud-native applications.
Strong understanding of software architecture principles and design patterns.
Experience building containerized applications using Docker and Kubernetes technologies.
BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

Work arrangement
No

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