Job Description
OmniFuture Labs is pioneering the infrastructure for the Project 2026 roadmap. We are building the next generation of autonomous AI agents capable of complex reasoning and execution. We are looking for a visionary Senior Agentic AI Architect to lead our engineering efforts in defining how machines collaborate with humans in the year 2026 and beyond.
In this role, you will not just build models; you will architect the systems that govern them. You will work on cutting-edge multi-agent frameworks, optimizing prompt engineering at scale, and ensuring the safety and reliability of autonomous decision-making processes.
Responsibilities
- Design and implement scalable multi-agent architectures using LangChain and AutoGen.
- Lead the technical strategy for the 2026 roadmap, defining how agents interact with external APIs and databases.
- Optimize Large Language Model (LLM) inference performance and fine-tune proprietary models for specific agent tasks.
- Establish best practices for agent safety, guardrails, and human-in-the-loop validation.
- Collaborate with product and design teams to translate futuristic concepts into deployable code.
- Conduct deep research into emergent AI behaviors and implement countermeasures for hallucinations.
Qualifications
- Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- 5+ years of experience in software engineering with a focus on AI/ML.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven experience deploying LLM applications in production environments.
- Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
- Exceptional problem-solving skills and the ability to work in a fast-paced, experimental environment.