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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Engineer

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are building the operating system for the next decade of intelligence. As we approach the 2026 era of Agentic AI, Nexus AI Labs is seeking a visionary Senior Agentic AI Engineer to lead the development of autonomous AI agents that don't just predict text, but take action.

In this role, you will bridge the gap between large language models (LLMs) and complex real-world workflows. You will architect systems capable of self-correction, tool utilization, and multi-step reasoning. If you are passionate about the future of AI autonomy and want to define the standards for Year 2 of the GenAI boom, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Agentic AI architectures.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with access to top-tier tech.
  • Opportunity to shape the industry standard for AI autonomy.

Responsibilities

  • Architect and implement scalable Agentic AI systems using Python, LangChain, and modern MLOps frameworks.
  • Design complex prompt chains and retrieval strategies (RAG) to enhance agent accuracy and reduce hallucinations.
  • Integrate external APIs, databases, and tools to empower autonomous agents to perform real-world tasks.
  • Optimize model inference performance for edge and cloud deployment environments.
  • Conduct rigorous testing and validation of agent behaviors to ensure safety and reliability.
  • Collaborate with cross-functional teams of product managers, data scientists, and engineers to define product requirements.

Qualifications

  • 5+ years of experience in software engineering, with a strong focus on AI/ML or NLP.
  • Deep understanding of Large Language Models (GPT-4, Llama 3, Claude), fine-tuning, and prompt engineering.
  • Proficiency in Python and frameworks such as LangChain, LlamaIndex, or AutoGPT.
  • Experience with vector databases (Pinecone, Weaviate, Milvus) and semantic search.
  • Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
  • Strong problem-solving skills and the ability to debug complex distributed systems.

Required Skills

Python PyTorch LangChain LLMs Agentic AI Vector Databases RAG Kubernetes AWS MLOps

Ready to Take This Challenge?

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