Summary: Seeking a Senior GenAI & ML Platform Engineer to design, build, and scale next-generation AI and machine learning platform capabilities, focusing on GenAI expansion and enterprise-grade ML data pipelines. Highlights: 1. Design and build next-generation AI and machine learning platform capabilities 2. Expand GenAI platform functionality and ML data pipelines 3. Work with TypeScript, Python, LangChain, and cloud-native platforms We are seeking a Senior GenAI \& ML Platform Engineer to help design, build, and scale next\-generation AI and machine learning platform capabilities. This role will focus on expanding GenAI platform functionality, enabling multi\-LLM orchestration, improving prompt lifecycle management, and supporting enterprise\-grade ML data pipelines with strong security and governance standards. The ideal candidate brings hands\-on experience with TypeScript, Python, GenAI frameworks (LangChain), cloud\-native platforms, and distributed systems, and is comfortable contributing to both AI\-driven product innovation and data/ML platform reliability initiatives. **About First Factory** We are a software development company with over two decades of experience, boasting a dynamic team of 175\+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges. **Key Responsibilities** **GenAI Platform \& Agent Systems** * Design and implement Prompt Catalog Management systems to support structured storage, retrieval, optimization, and reuse of prompts. * Expand Agent Platform capabilities, including multi\-LLM orchestration, workflow automation, and third\-party system integrations. * Build scalable services using TypeScript, Python, and LangChain to support AI\-driven applications. * Develop GenAI engagement features such as gamification elements, personalization logic, and user interaction tracking. * Support migration from OpenAI to Amazon Bedrock, ensuring compatibility, scalability, and enterprise security compliance. **ML \& Data Platform Engineering** * Contribute to the Data and ML Platform migration, ensuring stability, backward compatibility, and operational resilience. * Build and maintain Golden ML Pipelines to standardize ingestion, processing, training, and deployment workflows. * Implement best practices for ML lifecycle management, automation, and platform reliability. * Support N\-2 version compatibility across cloud services such as EMR Serverless, Lambda, and S3\. * Improve on\-call readiness through documentation, incident playbooks, and operational runbooks. **Security, Governance \& Reliability** * Embed data security, encryption, access control, and compliance monitoring across AI and ML pipelines. * Apply governance standards to ensure secure handling of sensitive data and enterprise\-grade platform operations. * Monitor platform performance, troubleshoot failures, and improve observability and system reliability. **Collaboration \& Engineering Excellence** * Partner with product, data, ML, and platform teams to align technical execution with business goals. * Contribute to architecture decisions, system design discussions, and technical planning. * Maintain clean, scalable, and well\-documented codebases following best engineering practices. * Support peer code reviews, knowledge sharing, and continuous improvement initiatives. **Requirements** * Strong experience with TypeScript and Python in production environments. * Hands\-on experience with GenAI technologies, LLM orchestration, and frameworks such as LangChain. * Experience working with cloud\-native architectures, preferably on AWS. * Familiarity with Amazon Bedrock or similar managed AI platforms. * Experience building ML pipelines, data workflows, or model deployment systems. * Working knowledge of Java. * Experience with serverless or cloud services such as Lambda, S3, and EMR Serverless. * Strong understanding of distributed systems, APIs, and backend services. * Experience implementing secure data pipelines, encryption, access controls, and compliance\-aware workflows. * Familiarity with ML lifecycle management, CI/CD, and automation pipelines. * Experience supporting platform migrations, versioning strategies, and backward compatibility. * Strong debugging, performance optimization, and reliability engineering skills. * Strong problem\-solving and system design capabilities. * Ability to work across AI, ML, data, and platform engineering domains. * Comfortable collaborating with cross\-functional stakeholders in fast\-paced environments. * Excellent written and verbal English communication skills. **Nice to have** * Experience with multi\-LLM orchestration or AI agent platforms. * Experience with ML governance, model monitoring, or experiment tracking. * Exposure to GenAI product features, such as personalization, gamification, or user engagement analytics. * Experience working in enterprise\-scale cloud or regulated environments.