ML/AI Developer

Key skills

What you’ll do

• Design, develop, and deploy Generative AI and LLM-powered applications using scalable backend services. Build and integrate RESTful APIs and RAG solutions using vector databases and cloud AI platforms.

What they’re looking for

• Requires 4+ years of overall experience, including 2 years in GenAI/LLM and 1 year in Agentic AI. Proficiency in Python, FastAPI, and LLM orchestration frameworks is mandatory.

Job description

About the Role We are looking for a passionate AI Developer with 4+ 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: Must have applied the above technologies in real-time production projects and should be able to demonstrate your 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. 4+ 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.

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