> Markdown version of [/jobs/ext/2555137-python-genai-engineer](https://www.wearedevelopers.com/jobs/ext/2555137-python-genai-engineer). 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/GenAI Engineer - **Company:** BCforward - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $153,234.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Encodings, Continuous Integration, Data Sharing, DevOps, Programming Tools, Design of User Interfaces, Python (Programming Language), MongoDB, Object-Oriented Software Development, Rapid Prototyping Process, Redis, Reliability Engineering, Ansible, JSON Web Token, Software Engineering, SonarQube, ReactJS, Retrieval-Augmented Generation, Generative AI, Git, Fastapi, Pytest, Containerization, AngularJS, Bitbucket, Data Management, Machine Learning Operations, Api Design, Api Gateway, Jenkins, Artifactory - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/fb98a21a-d637-4c9b-8125-835b4b46c5b3 ## About the Role * 3+ years of object-oriented Python development with expert-level coding, testing, and troubleshooting. * Hands-on experience across AI/ML and GenAI lifecycle management, including MLOps, fine-tuning, and inference frameworks. * Practical knowledge of RAG processes such as chunking, embeddings, retrieval, reranking, and summarization. * Application development experience with one or more of MongoDB, Redis, Angular or React, containerization, FastAPI services, JWT, and API gateways. * Strong DevOps background with Git or Bitbucket, Jenkins, SonarQube, pytest, Artifactory, and Ansible. * Experience building and deploying GenAI inference platforms with observability, policy stores, and AI gateways. * Ability to work in large collaborative teams using multi-repo codebases and CI/CD pipelines in IDE-first environments. * Strong analytical, problem-solving, interpersonal, presentation, and communication skills. Preferred Skills: * Experience implementing policy enforcement and observability for RAG and model-serving platforms. * Background in UI/UX improvements for analytics platforms and rapid prototyping of developer tools. ## Description We are seeking a Site Reliability Engineer III to join our dynamic team supporting a pioneering Generative AI initiative for a Global Markets environment. The ideal candidate will have strong experience in Python software engineering, AI/ML lifecycle and MLOps, and building secure, scalable, and compliant platforms for Generative AI and RAG and a proven ability to design, implement, and operate reusable AI tooling that meets functional, non-functional, and regulatory requirements., * Design, build, and manage reusable tools and services for Generative AI and Retrieval-Augmented Generation. * Develop and maintain automation frameworks, utilities, and shared data science platforms for AI/ML and GenAI teams. * Implement end-to-end MLOps for model training, fine-tuning, inference, and monitoring with CI/CD and testing. * Build API-based applications and inference services using FastAPI, API gateways, JWT, and containerization. * Engineer and operate RAG pipelines including chunking, embedding, retrieval, reranking, and summarization. * Establish observability, policy enforcement, and reliability for AI gateways and inference platforms. * Collaborate across large cross-functional teams using shared multi-repo workflows and modern IDE-based development. * Research and prototype new tools that improve developer experience, UI/UX, and analytics platform capabilities. * Troubleshoot and resolve complex infrastructure and platform issues with root-cause analysis. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)