Lead AI Developer
2 weeks ago
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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