> Markdown version of [/jobs/ext/1800192-python-developer-with-genai](https://www.wearedevelopers.com/jobs/ext/1800192-python-developer-with-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Developer with GenAI - **Company:** Fehr-graham & Associates LLC - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, C Sharp (Programming Language), Communications Protocols, Software Design Patterns, Django Web Framework, Memory Management, Elasticsearch, Python (Programming Language), Object-Oriented Software Development, Search Technologies, Software Construction, Software Engineering, Systems Integration, Web Application Frameworks, Enterprise Search, Data Processing, Flask (Web Framework), Large Language Models, Snowflake, Multi-Agent Systems, Fastapi, AI Platforms, Virtual Agents, Software Coding, Network Server - **Published:** July 31, 2026 - **Apply:** https://www.disabledperson.com/jobs/73929462-python-developer-with-genai ## About the Role * 8 -12 years of proven experience in software development and system maintenance. * Strong experience in designing, architecting, and deploying GenAI and Agentic AI applications in enterprise environments. * Experience leading the implementation of enterprise-scale GenAI solutions, ensuring they are robust, secure, scalable, and performant. * Solid experience with Agentic AI frameworks such as AWS Strands, AutoGen, CrewAI, or similar agent orchestration frameworks. * Strong understanding of multi-agent architectures, agent orchestration patterns, Agent-to-Agent (A2A) communication protocols, planning, reasoning, memory management, and tool integration strategies. * Experience designing and deploying AI agent solutions using AWS AgentCore, AWS Bedrock, LLMs, embeddings, and enterprise AI services. * Experience creating and integrating Model Context Protocol (MCP) servers, tools, and enterprise system integrations. * Strong experience with advanced RAG architectures and retrieval techniques, including semantic search, hybrid search, contextual retrieval, vector databases, knowledge grounding, and enterprise AI search solutions. * Experience with OpenSearch, Elasticsearch, Snowflake, embedding models, vector databases, and enterprise search platforms. * Experience creating evaluation and testing frameworks for GenAI and Agentic AI applications, including automated evaluation, benchmarking, response quality assessment, hallucination detection, safety validation, and agent performance measurement. * Advanced knowledge of Python and modern frameworks such as FastAPI, Flask, Django, or Django REST Framework. * Experience working on all aspects of enterprise-scale AI implementations, including architecture, design, security, infrastructure, and GenAIOps. * Demonstrated experience with N-tiered applications and multi-tier architecture. * Highly experienced in developing scalable systems using software engineering best practices and design patterns. * Strong AWS cloud experience preferred. * Experience with C#/.NET is an added advantage. * Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction. * Excellent understanding of object-oriented design concepts and software development processes and methodologies. * Superior organisational skills with the ability to prioritise effectively and keep teams focused on key outcomes. * Leadership capability to guide architecture, design, and technical discussions. * Demonstrated ability to work independently with minimal supervision. * Passion for software engineering, AI innovation, and emerging technologies. ## Description We are seeking a highly experienced Principal Engineer - GenAI with proven experience in software development, system design, and enterprise AI implementation. The ideal candidate will have a strong background in N-tiered applications, multi-tier architecture, scalable system design, and solid experience in designing and deploying GenAI and Agentic AI applications using modern AI frameworks and AWS services., * Accountable for leading application development supporting business objectives while demonstrating independence across software development lifecycle phases from concept and design to testing. * Lead new and existing applications along with enhancements to applications, platforms, and infrastructure. * Perform hands-on coding while designing and architecting secure, scalable, and high-performing data processing, analytics, GenAI, and Agentic AI solutions. * Lead the design, architecture, deployment, and governance of enterprise-grade GenAI and Agentic AI applications that deliver measurable business value. * Design and deploy scalable AI solutions using AWS Bedrock, AWS AgentCore, LLMs, embeddings, and enterprise AI services. * Architect multi-agent workflows and agent orchestration solutions using frameworks such as AWS Strands, AutoGen, CrewAI, or similar agentic frameworks. * Guide the implementation of advanced RAG-based solutions for enterprise knowledge retrieval, semantic search, hybrid search, contextual grounding, and business workflow automation. * Establish evaluation and testing approaches for GenAI and Agentic AI applications to validate response quality, safety, reliability, relevance, hallucination risk, and agent performance. * Serve as a liaison to internal customers, research groups, product teams, and business support areas to translate business needs into scalable AI solutions. * Provide technical guidance to junior programmers and software engineers; guide design discussions, architecture reviews, and technical decision-making. * Troubleshoot and maintain mid-level to complex applications, ensuring performance, reliability, security, and operational readiness. ## Related Videos - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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