Role Overview :
We are seeking a highly skilled Full Stack Developer with Generative AI expertise to design, develop, and deploy next-generation AI-powered applications. This role requires strong hands-on experience with LangChain, LangGraph, FastAPI, LLM integrations (OpenAI / AWS Bedrock), and modern frontend / backend development frameworks. You will play a key role in building scalable, production-ready Gen AI applications deployed on AWS cloud infrastructure.
Key Responsibilities Development & Architecture :
- Design and develop Generative AI applications leveraging LangChain, LangGraph, and FastAPI.
- Build responsive, interactive front-end applications using Angular, JavaScript, HTML, and CSS.
- Develop RESTful APIs and microservices in Python (FastAPI) and Java (Spring preferred).
- Architect and integrate Gen AI modules with enterprise AI Integration :
- Implement and optimize LLM-based features using OpenAI, AWS Bedrock or equivalent.
- Apply prompt engineering and LLM fine-tuning strategies to deliver context-aware AI solutions.
- Enable semantic search, embeddings, and vector databases (Qdrant, MongoDB, PostgreSQL) for
intelligent & Deployment :
Deploy applications on AWS (Lambda, API Gateway, S3, EC2, DynamoDB) with best practices for scalability and security.Ensure smooth CI / CD pipelines, monitoring, and logging for production workloads.Optimize system performance, security, and & Leadership :Work closely with AI / ML engineers, data scientists, and product managers to deliver innovative solutions.Provide technical mentorship and contribute to code reviews, best practices, and system design discussions.Collaborate with cross-functional teams to integrate Gen AI capabilities into enterprise workflows.Required Skills & Competencies :
Backend Development : Python (FastAPI, LangChain, LangGraph), Java (Spring preferred).Frontend Development : Angular, JavaScript, HTML, CSS.Generative AI : Experience with LLMs (OpenAI, AWS Bedrock), prompt engineering, embeddings, and tuning.Cloud Expertise : Strong knowledge of AWS services (Lambda, API Gateway, S3, DynamoDB, EC2).Databases : PostgreSQL, MongoDB, Qdrant (vector DB).Strong understanding of RESTful API design, microservices architecture, and integration patterns.Nice-to-Have Skills :
Experience with Django / Flask for backend development.Understanding of AI / ML pipelines and model lifecycle management.Hands-on Java integration for embedding Gen AI modules into enterprise systems.Knowledge of DevOps practices (Docker, Kubernetes, Terraform, CI / CD pipelines).(ref : hirist.tech)