Job Description
We are on the precipice of a new era in artificial intelligence. As we look toward 2026, our mission is to redefine the boundaries of autonomous systems and generative intelligence. We are seeking a visionary Lead Agentic AI Engineer to architect the next generation of self-learning agents.
In this role, you will not just build models; you will build ecosystems. You will lead a high-performing team of researchers and engineers focused on creating autonomous agents capable of complex reasoning, multi-step planning, and seamless human-AI collaboration.
Why Join Us?
We offer competitive compensation, equity packages, and a culture that prioritizes innovation over bureaucracy. If you are passionate about the future of AI and want to shape the technology landscape of 2026, we want to hear from you.
Responsibilities
- Architect and deploy scalable agentic AI frameworks designed for 2026 readiness.
- Lead a team of AI researchers and engineers in building autonomous decision-making systems.
- Optimize LLM inference pipelines for real-time responsiveness and low latency.
- Collaborate with product teams to translate complex AI concepts into user-centric features.
- Establish best practices for AI safety, ethics, and alignment with human values.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- 7+ years of experience in software engineering, with 3+ years in AI/ML architecture.
- Deep expertise in Python, PyTorch, and modern LLM orchestration tools (LangChain, AutoGen).
- Proven track record of shipping production-grade AI applications to market.
- Strong understanding of system design, distributed computing, and cloud infrastructure (AWS/GCP).
- Experience with fine-tuning large language models and RAG (Retrieval-Augmented Generation) architectures.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.