Job Description
We are seeking a visionary Senior Agentic AI Engineer to define the technological landscape of 2026. Nexus Horizon Labs is at the forefront of the next industrial revolution, building autonomous systems that bridge the gap between human intent and digital execution. In this role, you will not just write code; you will architect the future of intelligent software.
You will lead a high-performing team in designing, training, and deploying cutting-edge Large Language Models (LLMs) and autonomous agents. If you are passionate about the convergence of Generative AI, Semantic Search, and Enterprise Software, we want to hear from you.
Why Join Us?
- Work on groundbreaking projects that set the standard for the industry in 2026.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a state-of-the-art NYC office.
Responsibilities
- Design and implement scalable agentic AI architectures capable of autonomous decision-making.
- Lead the end-to-end development lifecycle for NLP and LLM applications.
- Optimize model inference times and reduce latency for real-time applications.
- Collaborate with product managers and data scientists to define technical roadmaps.
- Ensure data privacy, security, and compliance with industry standards (GDPR, HIPAA).
- Conduct code reviews and mentor junior engineers to foster technical excellence.
- Stay abreast of the latest research in AI, contributing to internal innovation labs.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- 5+ years of professional experience in software engineering, with a focus on AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven experience fine-tuning LLMs and implementing Retrieval-Augmented Generation (RAG) pipelines.
- Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.