Senior AI Engineer
Core
Architect, implement, and optimize enterprise-scale AI/ML systems, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
Role type
Senior AI Engineer (Systems & Agentic AI)
Builds
Production AI platforms, multi-agent systems, and intelligent features for enterprise environments.
Domain
Enterprise AI, Cloud Infrastructure, Agentic AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C#, JavaScript/Angular, LLMs, RAG, Agent-based architectures, MCP, LangChain, CrewAI, AutoGen, AWS/Azure/GCP, Distributed systems, Kafka/RabbitMQ, Docker, CI/CD, Infrastructure-as-code
Preferred skills
Systems thinking, Event-driven architecture, Responsible AI governance, Cross-functional collaboration
Technologies
Python, C#, Angular, JavaScript, MCP, A2A/ADK, LangChain, CrewAI, AutoGen, AWS, Azure, GCP, Kafka, RabbitMQ, Solace PubSub+, Docker
Responsibilities
Design and develop advanced AI solutions including LLMs and RAG pipelines; Deploy and orchestrate multi-agent systems; Implement agent lifecycle management and autonomy guardrails; Integrate agents with APIs and microservices; Apply security, fairness, and compliance controls; Collaborate with product and engineering teams to deliver business value.
Seniority
Senior, hands-on IC
