Job Description
We are building the technology infrastructure for 2026. At Nexus Future Labs, we don't just predict the future; we engineer it. We are seeking a visionary Senior AI Engineer to lead our Agentic AI division, focusing on the next generation of autonomous systems and Large Language Model (LLM) applications.
In this role, you will bridge the gap between theoretical AI research and production-grade enterprise solutions. You will be responsible for architecting systems that are not only intelligent but also scalable, secure, and ethical. If you want to be at the forefront of the AI revolution and define the standards for 2026, we want to hear from you.
Why Join Us?
We offer a competitive compensation package, equity options, and the chance to work on projects that will shape the digital landscape of the coming decade.
Responsibilities
- Architect and deploy scalable Agentic AI frameworks designed for the 2026 era of autonomous decision-making.
- Develop and optimize high-performance LLM inference pipelines to reduce latency and cost.
- Design robust evaluation frameworks to ensure the safety, accuracy, and reliability of AI agents.
- Collaborate with cross-functional product teams to translate complex business requirements into cutting-edge AI solutions.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Stay ahead of industry trends, specifically focusing on RAG (Retrieval-Augmented Generation) and Vector Database architectures.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with a focus on Python and Deep Learning.
- Expertise in building and deploying models using PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Proven experience with Vector Databases (Pinecone, Milvus, Weaviate) and RAG architectures.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.