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 Generave AI and Large Language Model (LLM) applicaon development and at least 1 year of experience in Agen¢c AI. The ideal candidate should possess strong exper¢se in Python/TypeScript, RESTful APIs, and LLM orchestra¢on frameworks such as Lang Chain and LlamaIndex. Experience in prompt engineering, vector databases, and cloud AI pla¢orms, with a strong founda¢on in NLP and scalable microservices architecture. Key Responsibili¢es ¢ ¢ ¢ ¢ ¢ Design, develop, and deploy Genera¢ve AI and LLM-powered applica¢ons. Develop scalable backend services using Python and FastAPI. Build and integrate RESTful APIs and microservices for AI applica¢ons. Strong prociency in TypeScript or Python for AI-driven backend development. Develop AI solu¢ons using LLM orchestra¢on frameworks such as LangChain, LlamaIndex, or similar frameworks. ¢ ¢ ¢ Design and op¢mize prompts using advanced prompt engineering techniques, including Zero-shot, Few-shot, Chain-of-Thought (CoT), and Func¢on Calling. Build Retrieval-Augmented Genera¢on (RAG) solu¢ons using vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate. Integrate AI applica¢ons with cloud AI pla¢orms, including AWS Bedrock, SageMaker, Azure OpenAI, or Google Vertex AI. ¢ ¢ Apply NLP concepts, embeddings, and transformer models to solve business problems. Collaborate with cross-func¢onal teams to deliver scalable,



produc¢on-ready AI solu¢ons. ¢ Follow so¢ware engineering best prac¢ces, including version control (Git), CI/CD pipelines, and technical documenta¢on. Mandatory Technical Skills Candidates must have hands-on experience in the following: ¢ ¢ ¢ ¢ ¢ ¢ Python Genera¢ve AI (GenAI) Large Language Models (LLMs) Prompt Engineering FastAPI Agen¢c AI Note: Candidates must have applied the above technologies in real-¢me produc¢on projects and should be able to demonstrate their implementa¢on 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 Qualica¢ons ¢ Bachelor's or master's degree in computer science, Ar¢cial Intelligence, Data Science, or a related discipline. ¢ 5+ years of overall experience, including a minimum of 2 years of hands-on experience in Genera¢ve AI and Large Language Model (LLM) applica¢on development and at least 1 year of experience in Agen¢c AI. ¢ ¢ ¢ ¢ Robust analy¢cal, debugging, and problem-solving skills. Excellent communica¢on and collabora¢on skills. Ability to manage project work independently. Passion for AI innova¢on, con¢nuous learning, and emerging technologies.

📌 Ai Ml Engineer (Chennai)
🏢 Lexicon Infotech
📍 Chennai