Python Developer (GenAI)

Job Description

Senior Full Stack GenAI Engineer with 10+ years of experience to design and build agentic AI solutions that automate enterprise workloads and business processes.

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The ideal candidate will have strong expertise in Python-based backend development, LLM-powered applications, cloud-native deployment, vector databases, and modern DevOps practices. This role involves building end-to-end AI systems that integrate with enterprise platforms, automate workflows, and deliver production-grade AI applications.

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Key Responsibilities

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• Design and develop agentic AI applications that automate enterprise workflows and decision-making processes.

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• Build scalable backend services using Python, FastAPI, and Pydantic.

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• Develop and deploy LLM-powered applications using models such as GPT and Claude.

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• Build AI agents and orchestration workflows using LangChain or Strands.

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• Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate).

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• Perform data analysis, preparation, and curation to build high-quality datasets for AI and knowledge retrieval systems.

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• Design and implement document ingestion pipelines for enterprise knowledge sources such as SharePoint, Confluence, and Jira.

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• Deploy AI workloads on AWS (Bedrock, ECS Fargate, S3) with proper security and scalability practices.

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• Develop and integrate enterprise APIs using REST, GraphQL, WebSockets, and web services.

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• Implement secure authentication and authorization using Ping Identity, OAuth2, OIDC, and SSO.

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• Build user interfaces for AI applications using ReactJS or Streamlit.

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DevOps & Deployment

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• Build and manage CI/CD pipelines using Jenkins or GitLab.

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• Implement GitOps practices for automated deployments.

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• Containerize applications using Docker and deploy to cloud platforms.

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• Implement security best practices, vulnerability scanning, dependency management, and container security.

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Required Skills

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Backend & APIs

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• Python

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• FastAPI

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• Pydantic

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• REST APIs, GraphQL, WebSockets

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GenAI & Agent Frameworks

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• LLMs (GPT, Claude)

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• LangChain or Strands

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• Retrieval Augmented Generation (RAG)

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• NLP (Natural Language Processing)

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Data & AI Pipelines

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• Data analysis, data preparation, and data curation

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• Document ingestion and knowledge base creation

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• Embeddings and semantic search

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Vector Databases

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• pgvector

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• Pinecone

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• Weaviate

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Cloud & Platforms

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• AWS (Bedrock, ECS Fargate, S3, Guardrails)

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Databases

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• PostgreSQL

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• DynamoDB

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Security & Identity

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• Ping Identity

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• OAuth2 / OIDC

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• SSO, Authentication & Authorization

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DevOps

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• Jenkins

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• GitLab

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• GitOps practices

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• Docker containerization

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• Security vulnerability mitigation

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Frontend

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• ReactJS

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• Streamlit

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Enterprise Tools

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• Portkey (AI Gateway)

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• Apigee (API Gateway)

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• Jira, Confluence, SharePoint

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Preferred Qualifications

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• Experience building AI agents for enterprise automation.

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• Experience implementing AI guardrails and LLM governance frameworks.

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• Experience building enterprise copilots or knowledge assistants.

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• Familiarity with LLMOps and AI observability platforms.

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What We're Looking For

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• Strong full stack engineering mindset with GenAI expertise.

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• Experience building production-grade AI systems.

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• Ability to work across AI, backend, cloud, and DevOps stacks.

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• Passion for building automation solutions powered by agentic AI.

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Experience

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• 10+ years of software engineering experience

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• 3+ years hands-on experience delivering GenAI-based enterprise applications