Full Stack Developer

2 weeks ago

Pune, Maharashtra, India MNR Solutions Full time

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)

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