Python/GenAI Engineer

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.

• 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.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.