Job Description
We are seeking a visionary Senior Agentic AI Engineer to pioneer the next generation of autonomous systems. As we look toward 2026, the definition of intelligence is shifting from passive models to active agents capable of complex reasoning and self-directed execution. You will be at the forefront of this transformation, building the architecture that defines the future of human-AI collaboration.
In this role, you will not just write code; you will architect ecosystems where AI agents collaborate seamlessly to solve high-stakes problems. We offer a competitive compensation package, equity opportunities, and the chance to work in a high-performance environment focused on innovation.
Responsibilities
- Architect and deploy multi-agent systems using Python and modern LLM frameworks.
- Design autonomous workflows that minimize human intervention while maximizing efficiency.
- Optimize inference pipelines for latency and cost-effectiveness in production environments.
- Implement robust safety, alignment, and guardrail protocols for agentic behavior.
- Collaborate with product and research teams to translate abstract AI concepts into scalable products.
- Conduct rigorous testing and evaluation of agent capabilities using synthetic benchmarks.
Qualifications
- 5+ years of experience in software engineering, AI, or Machine Learning development.
- Deep proficiency in Python, PyTorch, or TensorFlow.
- Hands-on experience with LangChain, AutoGen, or similar agentic frameworks.
- Strong understanding of Vector Databases, RAG architectures, and fine-tuning techniques.
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to thrive in a fast-paced, experimental environment.