Senior AI Platform Engineer_REMOTE

Designation: Senior AI Platform Engineer_REMOTE Location: Remote Responsibilities (The "AI Platform" Mindset) Centralized Orchestration: Design and implement a robust engineering foundation to host all AI agents and models within Amazon Bedrock, ensuring they are governed, scalable, and deployable across various product lines. Platform over Projects: Move the team away from bespoke, manual model deployments toward a standardized AI Platform model. Build "Internal AI Services" and tools to empower underserved functions like Sales, Legal, Finance, and Accounting. CI/CD & DataOps: Establish automated MLOps pipelines for model training, evaluation, and deployment. Partner with Data Engineering to ensure "DataOps" readiness for high-performance AI features. Augmentation & Governance: Work with our business and product teams to build human-in-the-loop (HITL) workflows that augment, not automate, ensuring all AI features are safe, transparent, and compliant. Operational Excellence: Optimize and scale machine learning infrastructure (AWS/Kubernetes) to support high-performance model training and inference while reducing the "operational debt" of existing GenAI/ML models. Qualifications Must Have 5-7 years of software engineering experience with strong system design skills 2-3 years building and operating production LLM systems, including RAG or agent workflows Led the design and delivery of at least one end-to-end GenAI system from ideation to production Deep expertise in building AI agents, specifically managing state, long-term memory, and multi-turn context Hands-on experience with LLM integration, prompt engineering, structured outputs, and evaluation frameworks, including proficiency with orchestration tools like LangChain and/or LangGraph. Have built APIs or internal platforms that expose AI capabilities to multiple teams with cost and latency optimization Strong understanding of CI/CD, Infrastructure as Code, and distributed system design to support scalable AI platforms Proficient in Python and at least one additional language such as TypeScript Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field Nice to Have Experience with AWS, including Bedrock and related AI services Experience with Docker and Kubernetes-based deployments Experience with microservices or cloud-native architectures Hands-on experience with ETL processes, data pipelines, and data warehousing solutions Experience building AI systems in regulated or compliance-driven domains #LI-OR1