Senior AI/ML Engineer

Accountabilities

• • Lead the architecture, design, development, and implementation of an enterprise-grade Agentic AI orchestration platform.
  • Design modular, reusable AI components and intelligent agents using a “Bricks” / multi-node architecture.
  • Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced prompt engineering, RAG, vector databases, MCP, and multi-agent workflows.
  • Define and implement agentic AI architectures that are scalable, maintainable, secure, and suitable for enterprise environments.
  • Build scalable APIs and backend services using Python and FastAPI, ensuring reliability and production readiness.
  • Design retrieval-augmented generation solutions and integrate vector databases to support accurate and context-aware AI applications.
  • Develop sophisticated prompt-engineering strategies to improve model performance, reliability, and consistency.
  • Establish AI security and responsible AI practices, particularly when working with enterprise or regulated data.
  • Provide technical leadership across architecture and engineering decisions, establishing best practices and guiding implementation.
  • Evaluate technical trade-offs involving scalability, performance, security, maintainability, and AI model capabilities.
  • Collaborate with technical and business stakeholders to translate complex requirements into robust AI solutions.
  • Troubleshoot complex technical challenges and continuously improve the platform’s reliability, performance, and capabilities.

  Requirements

  • 10+ years of overall experience in software engineering and/or AI/ML, with senior-level architecture and engineering responsibilities.
  • Strong professional experience building and operating LLM-based applications in production.
  • Advanced Python development skills and experience building production-quality backend systems.
  • Hands-on experience working with the Claude API, including integration into real-world AI applications.
  • Strong experience with LangGraph and/or LangChain, including orchestration of complex AI workflows.
  • Proven experience designing and implementing Agentic AI architectures and multi-agent systems.
  • Strong knowledge of Retrieval-Augmented Generation (RAG) and practical experience with vector databases.
  • Advanced prompt-engineering capabilities, with an understanding of techniques for improving LLM accuracy, reliability, and behavior.
  • Experience designing and developing scalable APIs using FastAPI.
  • Strong understanding of AI security, responsible AI, privacy, and enterprise AI governance.
  • Experience working with enterprise-scale or regulated data environments where security, compliance, and reliability are critical.
  • Strong software architecture skills and the ability to make sound technical decisions in complex environments.
  • Proven technical leadership capabilities, including influencing architecture, guiding engineering practices, and mentoring technical teams.
  • Excellent communication, collaboration, analytical thinking, and complex problem-solving skills.
  • Ability to work independently in a remote environment while maintaining strong ownership and delivery focus.

  Benefits

  • Fully remote work model.
  • Contract engagement.
  • Opportunity to work on an enterprise-grade Agentic AI platform using advanced generative AI technologies.
  • Hands-on exposure to Claude, LangGraph, LangChain, RAG, vector databases, MCP, multi-agent systems, and modern AI architectures.
  • Opportunity to influence architectural decisions and shape reusable AI components and intelligent-agent capabilities.
  • Senior-level technical ownership with significant impact on the design and evolution of the platform.
  • Experience working with enterprise and potentially regulated data environments.
  • International, technology-focused environment with opportunities to solve complex AI/ML engineering challenges.