Overview

Experience: 5+ years
Work Mode: Remote,
Work Timings: 1 to 10 pm IST

We are looking for a highly skilled Python Developer with strong AWS, Dot Net and front-end development experience to build and maintain AI-powered applications. The ideal candidate should have hands-on experience with Agentic AI workflows, RAG (Retrieval-Augmented Generation), AWS serverless architectures, and modern AI development tools.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python.
• Build AI-powered solutions leveraging LLMs, RAG architectures, and Agentic workflows.
• Develop and optimize AWS serverless applications using AWS Lambda and related services.
• Integrate AI models, vector databases, APIs, and enterprise data sources.
• Build and maintain frontend components and dashboards using modern JavaScript frameworks.
• Develop RESTful APIs and microservices for AI and business applications.
• Implement monitoring, logging, security, and performance optimization across cloud environments.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

Required Skills

• 5+ years in Dot Net
• 5+ years of hands-on experience in Python development.
• Strong experience with AWS services including:
• AWS Lambda
• API Gateway
• S3
• DynamoDB
• SQS/SNS
• CloudWatch
• IAM
• Experience building AI/LLM-based applications using tools such as:
• LangChain / LangGraph
• OpenAI, Anthropic, Gemini, or similar models
• Vector Databases (Pinecone, Weaviate, Chroma, FAISS, etc.)
• RAG implementations
• Experience designing and implementing Agentic AI workflows.
• Strong understanding of prompt engineering, AI orchestration, and model integration.
• Frontend development experience with React, Next.js, Angular, or similar frameworks.
• Experience with REST APIs, microservices, and cloud-native architectures.
• Familiarity with Git, CI/CD pipelines, and Agile development practices.

Preferred Skills

• Experience with Kubernetes, Docker, and containerized deployments.
• Exposure to AWS Bedrock and AI services.
• Knowledge of MLOps and AI application deployment.
• Experience with multi-agent systems and workflow automation platforms.

Nice to Have

• Experience building enterprise AI assistants, chatbots, or knowledge management solutions.
• Understanding of security, scalability, and performance optimization for AI applications.