Python Developer – Generative AI & AWS

Key Responsibilities:

• Design, develop, test, and maintain scalable backend applications and REST APIs using Python.
• Integrate Python applications with AWS services including Lambda, S3, API Gateway, ECS, EKS, EC2, DynamoDB, RDS, SQS, SNS, CloudWatch, and IAM.
• Develop AI-powered applications using LLMs such as GPT and Cohere.
• Build and optimize prompt workflows, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) solutions.
• Implement document-processing pipelines using chunking, segmentation, tokenization, and metadata enrichment techniques.
• Design and optimize different document chunking strategies, including fixed-size, recursive, semantic, and context-aware chunking, based on data type and use case.
• Develop and maintain RESTful APIs and event-driven microservices.
• Design scalable and reliable backend services using microservices architecture.
• Package and deploy applications using Docker and container orchestration platforms such as ECS/EKS where applicable.
• Develop and maintain CI/CD pipelines for automated testing, deployment, and release management.
• Monitor application performance and troubleshoot production issues to improve reliability, scalability, and performance.
• Follow secure coding practices and AWS best practices for IAM, access control, logging, monitoring, and application security.
• Write and maintain unit, integration, and end-to-end tests.
• Collaborate with AI/ML engineers, Data Scientists, DevOps teams, Product Managers, and other stakeholders.
• Prepare and maintain clear technical documentation, API documentation, and architecture details.

Required Skills

• Strong hands-on experience with Python.
• Good knowledge of OOP, data structures, and backend development.
• Strong experience developing REST APIs and microservices.
• Hands-on experience with AWS cloud services.
• Experience with Generative AI, LLMs, GPT, Cohere, embeddings, and RAG.
• Strong understanding of prompt engineering and LLM integration.
• Experience with document processing, chunking, segmentation, tokenization, and semantic search.
• Experience with Docker and CI/CD pipelines.
• Good understanding of cloud security, IAM, monitoring, and logging.
• Experience with SQL and relational databases, preferably PostgreSQL.

Good to Have

Preferred Candidate Profile

Qualifications

• Strong hands-on experience with Python.
• Good knowledge of OOP, data structures, and backend development.
• Strong experience developing REST APIs and microservices.
• Hands-on experience with AWS cloud services.
• Experience with Generative AI, LLMs, GPT, Cohere, embeddings, and RAG.
• Strong understanding of prompt engineering and LLM integration.
• Experience with document processing, chunking, segmentation, tokenization, and semantic search.
• Experience with Docker and CI/CD pipelines.
• Good understanding of cloud security, IAM, monitoring, and logging.
• Experience with SQL and relational databases, preferably PostgreSQL.
• Good to Have
• Working knowledge of React.js.
• Working knowledge of Angular.
• Experience with PostgreSQL and database optimization.
• Experience with vector databases such as Pinecone, Qdrant, Weaviate, or similar.
• Experience with LangChain, LangGraph, or similar GenAI frameworks.
• Knowledge of Kubernetes and cloud-native application development.
• Experience with event-driven architectures using SQS, SNS, Kafka, or similar messaging platforms.
• Strong problem-solving and analytical skills.
• Good understanding of enterprise application development.
• Ability to work independently as well as collaborate with cross-functional teams.
• Good communication skills.
• Willingness to learn and work with emerging AI technologies.

Preferred Qualifications

• Preferred Candidate Profile