> Markdown version of [/jobs/ext/4701816-genai-platform-lead-senior-python-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4701816-genai-platform-lead-senior-python-ai-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). --- # GenAI Platform Lead / Senior Python AI Engineer - **Company:** BCforward - **Location:** Pennington, NJ, United States - **Experience:** Expert - **Salary:** $312,000 - **Contract:** Contract - **Skills:** HTML, JavaScript (Programming Language), Artificial Intelligence, Unix, Cascading Style Sheets (CSS), Relational Databases, Hardware Design, JQuery, Python (Programming Language), Machine Learning, MongoDB, MySQL, NoSQL, Oracle (Applications), Systems Development Life Cycle, Tensorflow, Software Engineering, Unstructured Data, Web Application Frameworks, Extensible Markup Language (XML), Pytorch, ReactJS, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Generative AI, Fastapi, Data Analytics, Api Design, Programming Languages, Microservices - **Published:** November 13, 2026 - **Apply:** https://www.dice.com/job-detail/5b3dcec2-2a1a-4605-9b76-c34b09b7fcae ## About the Role * 7+ years of Python development, including production-grade services and tooling. * Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). * FastAPI or similar Python web frameworks for building APIs and microservices. * Extensive experience designing and implementing multi-tier and microservices application platforms. * Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. * Track record of delivering projects on time and on budget. * High proficiency in Unix scripting and automation for SDLC efficiencies. * In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. * Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. * Strong communication, critical thinking, and problem-solving skills. Preferred Skills: * Experience implementing data analytics and AI solutions in enterprise environments. * Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. ## Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements., * Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. * Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. * Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. * Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. * Identify, prioritize, and execute tasks across the software development life cycle. * Establish standards and drive automation to improve end-to-end SDLC efficiency. * Mentor team members in technical design and development best practices. * Drive platform performance, scalability, and resiliency testing. * Implement hardware upgrades and software enhancements to meet global performance expectations. * Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. * Conduct research and prototyping to identify solutions that enhance platform and team capabilities. * Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions.