Specialist II - ML Engineering

Role description

• Architect multi-agent systems: Design patterns for orchestration, memory management, and tool integration using frameworks like LangChain or CrewAI.
• Develop and deploy GenAI agents for tasks such as:
  • Requirement validation and auto-correction
  • Test strategy and scenario generation
  • Automation script generation and self-healing
  • Data synthesis and performance planning
• Integrate with enterprise platforms: Ensure compatibility with workflow tools, CI/CD pipelines, and observability dashboards.
• Implement security and governance: Role-based access control, audit logging, and responsible AI guardrails.
• Optimize performance and cost: Reduce token usage, latency, and operational overhead through prompt engineering and caching strategies.
• Mentor teams on GenAI architecture, prompt design, and best practices.
• Hands-on experience with LangChain/CrewAI, Python/TypeScript, and API integrations.
• Strong knowledge of cloud-native architecture (Docker, Kubernetes, AWS/GCP/Azure).
• Familiarity with RBAC, security frameworks, and compliance standards.
• Knowledge of vector databases (PGVector, Pinecone) and hybrid RAG strategies.
• 15+ years of experience