Job Title: Senior Full Stack Developer (AI & GenAI Solutions) 10+ Years
Experience
Job 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 deep
expertise primarily in Python along with experience in Python-based frameworks like
LangChain, LangGraph, and FastAPI. Good knowledge in Java, Angular, JavaScript,
HTML, and CSS is preferred for end to end implementation . Additionally, the candidate
must possess strong knowledge of Generative AI ecosystems. Experience with LLM-
based applications, prompt engineering, and cloud services such AWS Bedrock or
OpenAI 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 comes
a secondary if using Spring AI eco system )
Integrate and interact with LLMs (Large Language Models) using AWS
Bedrock/OpenAI.
Implement prompt engineering strategies to fine-tune LLM outputs.
Should be knowing the optimization technique while implementing a scalable
Gen AI solution in Cloud
Ensure cloud-ready architectures with AWS services like Lambda, S3, API
Gateway, and DynamoDB.
Required Skills:
Python & Frameworks: Deep expertise in LangChain, LangGraph, FastAPI,
(Flask, Django exposure is good to have in case LangChain / Langgraph
exposure is limited).
Working knowledge of Java is preferred to understand the current code eco
system as we often plug the Gen AI code in current Java code base.
LLM & Prompt Engineering: Hands-on experience with LLM interactions, prompt
tuning, OpenAI/AWS Bedrock.
Frontend Development: Proficiency in Angular, JavaScript, HTML, CSS for
interactive UI/UX.
Backend Development: Experience with Java & Python-based microservices and
APIs.
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