agentic AI engineer

A global technology company is building autonomous agentic AI systems that plan, reason, use tools, and act on behalf of millions of users.

• Design, build, and deploy production-grade agentic systems with planning, tool use, memory, orchestration, and multi-agent collaboration
• Architect RAG pipelines for large, real-world datasets, including chunking, embeddings, hybrid retrieval, reranking, and grounding strategies to reduce hallucinations
• Optimize LLM inference for latency, throughput, and cost through batching, caching, quantization, speculative decoding, and serving at scale
• Build evaluation frameworks for agent reliability, safety, and quality, including offline evaluations, LLM-as-judge, red-teaming, and online experimentation
• Fine-tune, adapt, and prompt-engineer foundation models where it has measurable impact
• Partner with research, product, infrastructure, and trust and safety teams to turn ideas into shipped features
• Improve engineering quality through design reviews, mentoring, and knowledge sharing

• Strong software engineering fundamentals and production-quality Python
• Hands-on experience building LLM-powered agents using frameworks such as LangGraph, LlamaIndex, AutoGen, or CrewAI, or a custom orchestration layer
• Proven delivery of production RAG systems, including vector databases and retrieval evaluation
• Working knowledge of LLM inference and serving, including vLLM, TensorRT-LLM, Triton, KV-cache, batching, and GPU memory trade-offs
• Experience with prompt engineering, function/tool calling, and structured outputs
• Solid cloud and MLOps skills, including AWS, GCP or Azure, Docker, Kubernetes, CI/CD, and observability
• A pragmatic, product-minded approach to deciding when to build, buy, or cut scope
• Будет плюсом: TypeScript, Go, Java or C++; fine-tuning (LoRA/QLoRA, RLHF/DPO, distillation); multi-agent systems, MCP or tool-protocol design, and agent safety/guardrails; operating AI systems at very large scale; open-source contributions, publications, or a strong public technical profile; an MSc/PhD in Computer Science, ML, AI or a related field, or equivalent hands-on experience

• Contract role