AI Engineer
Core
Designing, developing, and maintaining production-grade software solutions leveraging Large Language Models (LLMs), embedding models, and generative technologies for external market-facing products and internal enterprise enablement.
Role type
Senior IC AI Engineer (GenAI/Agentic Systems)
Builds
Scalable agentic systems, RAG pipelines, GenAI-enabled microservices, and APIs for web applications and downstream systems.
Domain
Generative AI, Software Engineering, Enterprise SaaS
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C#, REST APIs, microservices, event-driven systems, LLM/embedding fundamentals, RAG pipelines, prompt and context engineering, agent frameworks (LangChain, LangGraph, CrewAI), vector DBs (Qdrant, Milvus), graph DBs (Neo4j), PostgreSQL, cloud platforms (Azure/AWS), CI/CD, Docker/Kubernetes, observability, AI governance guardrails.
Preferred skills
Postgraduate qualification in AI/ML/Data Science, cloud/AI certifications (Azure AI Engineer, AWS ML), experience with hosted/self-hosted models (OpenAI, Azure, AWS, Ollama, vLLM), workflow automation (n8n), legacy system integration.
Technologies
Python, C#, Kafka, LangChain, LangGraph, LangSmith, CrewAI, Semantic Kernel, n8n, OpenAI, Azure, AWS, Ollama, vLLM, Qdrant, Milvus, Neo4j, Apache AGE, PostgreSQL, Timescale, Docker, Kubernetes, Git.
Responsibilities
Design, develop, test, and deploy end-to-end GenAI-enabled software solutions; build agentic systems with multi-agent architectures and tool-use patterns; design and implement RAG pipelines for knowledge curation and retrieval; develop and operationalize prompt and context engineering practices; implement agent memory management patterns; integrate and operate model providers and runtimes; develop microservices and APIs exposing GenAI capabilities; design and maintain data stores for GenAI applications; implement AI Governance practices including guardrails and auditability; evaluate and monitor GenAI systems for quality, safety, and cost; collaborate with cross-functional teams to translate business requirements into technical solutions.
Seniority
Mid-level (1-3 years), hands-on IC