LTIMindtree is seeking a Senior Generative AI Engineer to lead the design and implementation of end-to-end Generative AI projects. The role involves building production-grade solutions, developing advanced Generative AI applications using RAG, prompt engineering, embeddings, and fine-tuning, and working with structured and unstructured data. The engineer will utilize cloud AI services like GCP Vertex AI, Azure AI, and AWS Bedrock, integrate agent frameworks, and develop APIs using Python. Strong expertise in deep learning, TensorFlow, and NLP is required, along with leadership in delivering AI-driven transformation projects.

Must Have

• Lead end-to-end Generative AI project design and implementation.
• Build production-grade Generative AI solutions with AI/ML integration.
• Develop advanced Generative AI apps using RAG, prompt engineering, embeddings, fine-tuning.
• Create RAG-based solutions with structured and unstructured data.
• Utilize GCP Vertex AI, Azure AI, AWS Bedrock cloud AI services.
• Implement AI/ML search and data services in GCP.
• Integrate Google ADK, LangGraph, CrewAI agent frameworks.
• Develop Python APIs and microservices with Flask, FastAPI.
• Expertise in deep learning, TensorFlow, and NLP.
• Adhere to software engineering principles, API integration, test automation.
• Lead cross-functional teams and collaborate with stakeholders.
• Bachelor’s or Master’s in Computer Science, AI/ML.
• 8-10 years software engineering, 3-5 years AI/ML, 2+ years Generative AI.
• Experience deploying Generative AI apps using Google Cloud AI stack.
• Strong understanding of LLMs, agentic AI patterns, orchestration frameworks.
• Leadership in delivering AI-driven transformation projects at scale.
• Excellent communication, stakeholder engagement, and team leadership.

Overseas Contractor

Senior Generative AI Engineer

Roles & Responsibilities

• Lead the design and implementation of end-to-end Generative AI projects with a focus on scalability and performance.
• Build production-grade solutions integrating Generative AI with AI/ML components.
• Develop advanced Generative AI applications using methodologies such as RAG, prompt engineering, embeddings, and fine-tuning.
• Work with structured and unstructured data to create RAG-based solutions.
• Utilize cloud AI services including GCP Vertex AI (preferred), Azure AI, and AWS Bedrock, along with managed large language models.
• Implement AI/ML search and data services within the GCP ecosystem (Vertex AI, Vertex AI Vector Search, Gemini, Cloud Run, Cloud SQL).
• Integrate agent frameworks such as Google ADK, LangGraph, and CrewAI into AI workflows.
• Develop APIs and microservices using Python and frameworks like Flask and FastAPI.
• Apply expertise in deep learning, TensorFlow, and NLP for advanced AI solutions.
• Ensure adherence to software engineering principles, including API integration and test automation.
• Collaborate with stakeholders and lead cross-functional teams to deliver AI-driven transformation projects.

Experience & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• 8–10 years of experience in software engineering, with 3–5 years in AI/ML and 2+ years in Generative AI solutioning.
• Proven experience in building and deploying Generative AI applications using Google Cloud AI stack or equivalent.
• Strong understanding of LLMs, agentic AI patterns, and orchestration frameworks.
• Demonstrated leadership in delivering AI-driven transformation projects at scale.
• Excellent communication, stakeholder engagement, and team leadership skills.

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