Job Title

Job Title: Senior Full Stack Developer (AI & GenAI Solutions) | 10+ YearsExperienceJob Description:We are seeking an experienced Senior Full Stack Developer (10+ years) to work on AI-powered and Generative AI (GenAI) solutions. The ideal candidate must have deepexpertise primarily in Python along with experience in Python-based frameworks likeLangChain, LangGraph, and FastAPI. Good knowledge in Java, Angular, JavaScript,HTML, and CSS is preferred for end to end implementation . Additionally, the candidatemust possess strong knowledge of Generative AI ecosystems. Experience with LLM-based applications, prompt engineering, and cloud services such AWS Bedrock orOpenAI LLM stack is a must. Exposure to AWS services is a strong advantage.Key Responsibilities: Develop and optimize AI-powered applications using LangChain, LangGraph,and FastAPI. Design, develop, and maintain scalable web applications with Angular,JavaScript, HTML, and CSS. Build microservices and RESTful APIs using FastAPI, and Python. (Java comesa secondary if using Spring AI eco system ) Integrate and interact with LLMs (Large Language Models) using AWSBedrock/OpenAI. Implement prompt engineering strategies to fine-tune LLM outputs. Should be knowing the optimization technique while implementing a scalableGen AI solution in Cloud Ensure cloud-ready architectures with AWS services like Lambda, S3, APIGateway, and DynamoDB.Required Skills: Python & Frameworks: Deep expertise in LangChain, LangGraph, FastAPI,(Flask, Django exposure is good to have in case LangChain / Langgraphexposure is limited). Working knowledge of Java is preferred to understand the current code ecosystem as we often plug the Gen AI code in current Java code base. LLM & Prompt Engineering: Hands-on experience with LLM interactions, prompttuning, OpenAI/AWS Bedrock. Frontend Development: Proficiency in Angular, JavaScript, HTML, CSS forinteractive UI/UX. Backend Development: Experience with Java & Python-based microservices andAPIs. Cloud Exposure (AWS Preferred): Familiarity with AWS Bedrock, OpenAI APIs,S3, Lambda, DynamoDB, EC2. Databases: SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, QDrant).Good to have: AI & ML Concepts: Strong understanding of ML algorithms,supervised/unsupervised learning, GenAI ecosystem. Python based framework -Django/Flask exposure Java-for plugging in solution in current Java based eco system