Lead AI Developer
1 day ago
Job Description – Lead AI Developer (with GenAI Expertise) Experience- 5+ Years in AI/ML Location- Pune Work Mode- HybridWe are seeking an experiencedLead AI Developerwith strong expertise inGenerative AI (GenAI), LLMs, and conversational AIto 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 ofconversational AI and GenAI applicationsusing platforms such asOpenAI, Azure OpenAI, Anthropic, Google Vertex AI, or similar LLM frameworks . Architect, train, fine-tune, and deploylarge language models (LLMs)andGenAI 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 implementdialogue management and context-handling strategiesfor accurate intent recognition and response generation. Guide the team in building efficientdata pipelines, vector databases, prompt workflows, and scalable model deploymentsolutions. 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 inGenerative AI, LLMs, prompt engineering, multimodal AI, and NLP technologiesto 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 inPython, C#, Java, or JavaScript . 5+ Years of Hands-on experience withAI/ML/NLP techniques , including text analytics, sentiment analysis, entity recognition, translation, and chatbot development. Practical exposure toGenAI 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 ofweb 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 withtransfer learning, deep learning algorithms, neural networks , and hybrid ML architectures. Proficiency withversion control systems (Git)and CI/CD pipelines. Solid understanding ofsoftware engineering principles, SDLC, and agile methodologies . Experience deploying AI/ML/GenAI applications onAWS, Azure, or Google Cloud . Proven experience building and deployingchatbot systems using ChatGPT, GPT-4/4o, or similar GenAI frameworks . Experience withmodel monitoring, observability, and AI governance frameworksis an added advantage.
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