-Sr. Gen AI Engineer

3 Must haves:Generative AI applications leveraging LLMs, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone).RESTful APIs (FastAPI) for AI service integrationCI/CD pipelines for AI applications Account: EEBTOpportunity Link: EE BT-BT Big Bets: Commercial Networks Automation: AI QE Transformation-SEPT 2026 | Opportunity | SalesforceDuration: 12 monthsStart Date (Expected): 01 October 2026Location: IndiaRole: CoCo Developer (Sr. Gen AI Engineer) (B2)No. of Positions: 3We are seeking a Senior Generative AI Engineer to design, develop, and deploy advanced AI-driven applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will possess strong Python skills, expertise in AI/ML workflows, and hands-on experience with vector databases and cloud-based AI solutions. This role involves building scalable AI pipelines, integrating with third-party LLMs, and collaborating with cross-functional teams to deliver production-ready Generative AI applications.Key Responsibilities:

• Design, develop, and maintain Generative AI applications leveraging LLMs, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone).
• Implement prompt engineering techniques, including function calls, zero-shot and few-shot learning, and fine-tuning models for specific use cases.
• Build and maintain scalable, secure, and high-performance RESTful APIs (FastAPI) for AI service integration.
• Collaborate with AI/ML engineers, product managers, and cloud engineers to deliver integrated AI capabilities.
• Prepare, manage, and process large datasets (structured and unstructured) for AI model training and inference.
• Deploy, scale, and monitor LLM-based applications in production environments.
• Design and integrate CI/CD pipelines for AI applications in collaboration with DevOps teams.
• Optimize performance and scalability for real-time AI workflows.
• Conduct code reviews, mentor junior engineers, and maintain high coding standards.
• Ensure security, compliance, and governance in AI solution delivery.Required Skills and Qualifications:1. 5+

years of experience in software development with strong Python expertise.

• Minimum 1 year of hands-on experience building applications using LLMs (e.g., OpenAI, Anthropic).
• Proficiency in RAG techniques and vector database usage (Weaviate, Pinecone, etc.).
• Strong background in Generative AI libraries and frameworks (LangChain, LangGraph).
• Proficiency in dataset preparation, transformation, and processing for AI/ML workflows.
• Knowledge of REST API design and microservices architecture.
• Exposure to cloud platforms (AWS, Azure, or GCP) and their AI/data services.
• Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, GitLab CI).
• Excellent problem-solving and analytical skills.
• Strong communication skills with the ability to work independently or in a team.