Lead AI Developer

2 weeks ago

Noida, India r3 Consultant Full time

Job Description – Lead AI Developer (with GenAI Expertise) Experience- 5+ Years in AI/ML Location- Pune Work Mode- Hybrid We are seeking an experienced Lead AI Developer with strong expertise in Generative AI (GenAI), LLMs, and conversational AI to architect and deliver next-generation AI solutions. The ideal candidate will lead the design, development, and optimization of AI-driven applications, ensuring scalable deployment and seamless integration across enterprise systems. Key Responsibilities- - Lead the end-to-end development of conversational AI and GenAI applications using platforms such as OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, or similar LLM frameworks. - Architect, train, fine-tune, and deploy large language models (LLMs) and GenAI systems, including text generation, summarization, RAG (Retrieval-Augmented Generation), embeddings, and intelligent assistants. - Integrate LLMs and GenAI-driven components with enterprise systems, web applications, APIs, and messaging platforms. - Design and implement dialogue management and context-handling strategies for accurate intent recognition and response generation. - Guide the team in building efficient data pipelines, vector databases, prompt workflows, and scalable model deployment solutions. - Perform continuous evaluation, testing, and optimization of AI/LLM performance, ensuring accuracy, latency reduction, and improved user experience. - Analyse user interactions, system outputs, and feedback to drive iterative enhancements and feature improvements. - Stay updated with advancements in Generative AI, LLMs, prompt engineering, multimodal AI, and NLP technologies to drive innovation and technical strategy within the team. Technical Skills Required- - Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related fields. - Strong programming experience in Python, C#, Java, or JavaScript. - 5+ Years of Hands-on experience with AI/ML/NLP techniques, including text analytics, sentiment analysis, entity recognition, translation, and chatbot development. - Practical exposure to GenAI technologies, including: - LLM fine-tuning, prompt engineering, embeddings - RAG pipelines, vector stores (FAISS, Pinecone, ChromaDB, Elasticsearch) - Model orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel) - Strong understanding of web technologies, API development, microservices, and system integration. - Proficiency in relational databases and SQL. - Excellent analytical and problem-solving skills, with the ability to lead complex technical initiatives. - Strong communication and collaboration abilities essential for leading cross-functional discussions. - Ability to thrive in a fast-paced, dynamic environment. Preferred Additional Skills- - Experience with transfer learning, deep learning algorithms, neural networks, and hybrid ML architectures. - Proficiency with version control systems (Git) and CI/CD pipelines. - Solid understanding of software engineering principles, SDLC, and agile methodologies. - Experience deploying AI/ML/GenAI applications on AWS, Azure, or Google Cloud. - Proven experience building and deploying chatbot systems using ChatGPT, GPT-4/4o, or similar GenAI frameworks. - Experience with model monitoring, observability, and AI governance frameworks is an added advantage.

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