Gen AI Developer

7.0 years

0.0 Lacs P.A.

Chennai, Tamil Nadu, India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

aideveloperazurepythonlearningcuttingprocessinglogicreasoningretrievaldesignengineeringneo4jquerydatafinancemanagementmodeltrainingsupportcodedeploymentautomationgithubscalabilitysecuritydevopsterraformarchitecturecustomization

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Gen AI Developer Location: Chennai Salary: Open for discussion Experience Required: 5–7 years Employment Type: Full-Time πŸ” Role Overview: We are seeking a highly skilled and innovative Gen AI Developer with hands-on experience in Azure Gen AI services, Python, and advanced machine learning. The ideal candidate will be responsible for building and deploying AI-powered enterprise solutions, working on cutting-edge technologies such as LLMs, RAG, and intelligent document processing. πŸ”‘ Key Responsibilities: Develop and deploy Azure Gen AI solutions (AI Search, Document Intelligence, Azure Functions, Logic Apps). Implement intelligent pipelines using Langchain and Python-based Gen AI tools. Build and fine-tune LLMs with capabilities like Reasoning Agents , RAG (Retrieval-Augmented Generation) , and Chain of Thought modeling. Design and manage prompt engineering workflows to optimize AI outcomes. Construct robust APIs for enterprise AI use cases. Work with Graph DBs such as Cosmos DB and Neo4j to manage and query large-scale AI data. Apply domain knowledge in finance and data management for contextual model training. Support code deployment and automation using GitHub workflows . Collaborate with cross-functional teams to deliver live AI applications and ensure scalability, security, and performance. βœ… Mandatory Skills & Proficiency: SkillMandatoryProficiency (1–5) Azure Gen AI (AI Search, Doc Intelligence, Azure Functions, Logic Apps) Yes 4 Python (Langchain, related AI frameworks) Yes 4 Machine Learning Yes 4 DevOps (Terraform, etc.) No 3 🎯 Preferred Qualifications: Experience deploying at least one enterprise AI solution live in production. Solid understanding of data pipelines , RAG architecture , and LLM customization . Excellent problem-solving and prompt design skills for generative AI. Familiarity with DevOps practices and tools like Terraform is a plus. Show more Show less

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