Job Description
We are seeking a visionary Senior AI/Agentic AI Engineer to join our elite team at Nexus Future Labs. As we define the technology stack for 2026, you will be at the forefront of building autonomous agents, optimizing large language models (LLMs), and architecting systems that redefine human-machine interaction.
In this role, you won't just write code; you will shape the future of intelligent automation. We value deep technical expertise, creative problem-solving, and a passion for pushing the boundaries of what AI can achieve. If you are ready to build the next generation of intelligent systems, we want to hear from you.
Why Join Us?
- Work on cutting-edge Agentic AI frameworks.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Design, develop, and deploy autonomous AI agents capable of complex reasoning and multi-step task execution.
- Architect scalable MLOps pipelines for training and fine-tuning large language models.
- Collaborate with product and engineering teams to integrate AI capabilities into consumer-facing applications.
- Optimize model latency, throughput, and cost-efficiency for production environments.
- Research and prototype novel algorithms to improve agent autonomy and safety.
- Maintain high standards of code quality, documentation, and testing.
- Stay abreast of the latest advancements in AI research to drive innovation within the company.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- 5+ years of professional experience in software engineering, with a focus on AI/ML.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of LLM architectures, prompt engineering, and Retrieval-Augmented Generation (RAG).
- Experience with agent frameworks such as LangChain, AutoGPT, or custom orchestration layers.
- Familiarity with vector databases (Pinecone, Milvus, Weaviate) and vector embeddings.
- Strong grasp of distributed systems and cloud platforms (AWS, GCP, or Azure).