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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI/Python Engineer - **Company:** Collabera - **Location:** Concord, CA, United States - **Experience:** Expert - **Salary:** $145,600.0 - $166,400.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Code Review, Databases, Data Architecture, Software Debugging, Programming Tools, Python (Programming Language), Machine Learning, MongoDB, Search Technologies, Software Deployment, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Virtual Agents, Api Design, GPT - **Published:** August 15, 2026 - **Apply:** https://www.dice.com/job-detail/31a6cfa6-fa55-4b1e-b68e-5204ce2286b3 ## About the Role * 5+ years of professional Python development experience. * 2+ years of hands-on Agentic AI / AI Agent development experience. * Strong understanding of Generative AI and Large Language Models (LLMs). * Strong hands-on experience developing RAG (Retrieval-Augmented Generation) solutions. * Experience with vector databases, vector search, embeddings, and semantic retrieval. * Strong experience with MongoDB. * Experience designing and implementing AI agent guardrails and validation mechanisms. * Strong software engineering fundamentals, including API development, testing, debugging, code review, and production deployment. * Demonstrated experience building or enhancing AI agents, preferably in a production environment., * Experience with Agentic AI frameworks such as: * Lang-Graph * Lang-Chain * CrewAI * AutoGen * Semantic Kernel * Experience with multi-agent architectures, tool/function calling, agent memory, and orchestration. * Experience with AI coding/development tools and AI-generated code validation. * Experience with Cloud. * Experience with MongoDB Atlas / MongoDB Vector Search. * Experience with AI evaluation, observability, prompt management, or LLM monitoring. * Financial services or banking industry experience is a plus., * We are looking for someone who is a strong software engineer first and an AI/Agentic AI engineer second. * The ideal candidate will have demonstrated experience taking Agentic AI concepts beyond experimentation and into real-world, production-ready applications. You should be comfortable working with rapidly evolving AI technologies, evaluating new AI tools, and building reliable solutions around LLMs and AI agents. * Candidates with only basic ChatGPT/OpenAI API integration, prompt engineering, or traditional Machine Learning experience without substantial Agentic AI development experience will not be the target profile. ## Description * We are seeking a Senior Agentic AI Engineer to join a technology-focused team building and enhancing next-generation AI agents and Generative AI solutions. * This is a hands-on engineering opportunity for someone who is passionate about emerging AI technologies and wants to work on production-grade Agentic AI applications. The team is actively moving AI agents into production and will continue developing new agents while enhancing existing solutions. * The ideal candidate is a strong Python engineer with deep hands-on experience in Agentic AI, LLMs, RAG, vector technologies, and AI guardrails. Key Responsibilities * Design, develop, and deploy production-ready AI agents and Agentic AI workflows. * Build new agents and continuously enhance existing agents based on business and technical requirements. * Develop LLM-powered applications using RAG, vector search, embeddings, and related technologies. * Build agent workflows that can interact with tools, APIs, databases, and other enterprise systems. * Implement guardrails, validation, and controls to improve the reliability, safety, and accuracy of AI agents. * Evaluate and improve agent responses, workflows, retrieval quality, and overall system performance. * Work with MongoDB and vector-based data architectures. * Review, validate, test, and improve AI-generated code and outputs to ensure they meet software engineering and quality standards. * Collaborate with engineering and business teams to translate requirements into scalable AI solutions. * Troubleshoot, optimize, and productionize existing Agentic AI applications. * Stay current with emerging AI tools, frameworks, models, and development practices. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)