Full Stack Developer - Generative AI

Role & responsibilities :

• Develop and deploy full stack machine learning, deep learning, and generative AI solutions.

• Apply advanced methods such as ensemble models, representation learning, transfer learning, and retrieval-augmented generation (RAG).

• Design, build, and optimize LLM-based systems, including assistants, copilots, and automation workflows.

• Understand and apply AI/ML architecture patterns, model selection strategies, and technical standards in coordination with architect/platform team.

• Lead prompt engineering, fine-tuning strategies, embedding pipelines, and retrieval systems.

• Build components of agentic ai solutions like MCP servers, skills, agents.

• Integrate the AI solutions in web applications using nodejs, Reactjs and .Net.

• Collaborate on deployment and monitoring of solutions in cloud environments with performance, security, and cost considerations.

• Own end-to-end design and implementation of AI enabled cloud systems from problem definition to production deployment.

• Contribute to evaluation of trade-offs across model accuracy, latency, scalability, cost, and maintainability.

• Contribute to architect and maintain scalable training and inference pipelines on cloud platforms.

• Contribute to ensure AI enabled solutions meet enterprise-grade requirements for reliability, security, observability, and compliance.

Preferred candidate profile :

• 8+ years strong development experience with at least 3 years .Net web frameworks and React coding experience and about 3-4 years in AI/ML based solutions development.

• Technical background : Must have worked as Developer for web and cloud applications and possess strong knowledge of Software Development Framework.

• Experience and expertise in Generative AI & LLM Systems with good knowledge of LLM tools like OpenAI / Azure OpenAI / Anthropic / open-source LLMs, Lang Chain and Lang Graph, Vector databases : FAISS, Pinecone, Chroma. Expert in python with data engineering libraries like NumPy, Pandas.

• Good knowledge of typescript.