AI/ML Developer

AI/ML Developer About the Role We are looking for a passionate AI Developer with 5+ years of overall experience, including a minimum of 2 years of hands-on experience in Generative AI and Large Language Model (LLM) application development and at least 1 year of experience in Agentic AI. The ideal candidate should possess strong expertise in Python/TypeScript, RESTful APIs, and LLM orchestration frameworks such as Lang Chain and LlamaIndex. Experience in prompt engineering, vector databases, and cloud AI platforms, with a strong foundation in NLP and scalable microservices architecture.

Key Responsibilities • Design, develop, and deploy Generative AI and LLM-powered applications. • Develop scalable backend services using Python and FastAPI. • Build and integrate RESTful APIs and microservices for AI applications. • Strong proficiency in TypeScript or Python for AI-driven backend development. • Develop AI solutions using LLM orchestration frameworks such as LangChain, LlamaIndex, or similar frameworks. • Design and optimize prompts using advanced prompt engineering techniques, including Zero-shot, Few-shot, Chain-of-Thought (CoT), and Function Calling. • Build Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate. • Integrate AI applications with cloud AI platforms, including AWS Bedrock, SageMaker, Azure OpenAI, or Google Vertex AI. • Apply NLP concepts, embeddings, and transformer models to solve business problems. • Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions. • Follow software engineering best practices, including version control (Git), CI/CD pipelines, and technical documentation. Mandatory Technical Skills Candidates must have hands-on experience in the following: • Python • Generative AI (GenAI) • Large Language Models (LLMs) • Prompt Engineering • FastAPI • Agentic AI Note: Candidates must have applied the above technologies in real-time production projects and should be able to demonstrate their implementation experience, architecture, use cases, and business outcomes during the interview.

Preferred Technical Skills • TypeScript (Good to Have) • LangChain • LlamaIndex • REST API Development • GraphQL • Microservices Architecture • Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate) • AWS Bedrock / Amazon SageMaker • Azure OpenAI • Google Vertex AI • NLP, Embeddings, and Transformer Models • Git and CI/CD

Preferred Qualifications • Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related discipline. • 5+ years of overall experience, including a minimum of 2 years of hands-on experience in Generative AI and Large Language Model (LLM) application development and at least 1 year of experience in Agentic AI. • Strong analytical, debugging, and problem-solving skills. • Excellent communication and collaboration skills. • Ability to manage project work independently. • Passion for AI innovation, continuous learning, and emerging technologies.