Autonomous AI & Control Systems Engineer
First seen by Alion on Nov 13, 2026.
About the Role
IQ Vector AI is hiring bright early-career talents (BSc, MSc, and PhD students or recent graduates in Applied Mathematics, Control Theory, Cybernetics, Physics, Computer Science, or Data Science) to join our core team and global B2B technology partners.
No prior commercial experience is required — we value strong university fundamentals in mathematics and algorithms, fast learning, and intellectual curiosity over years of industry experience. You will work directly with the CEO and founders with zero corporate hierarchy, learning how to apply classic mathematical concepts (feedback loops, dynamic programming, and Markov processes) to orchestrate and govern swarms of autonomous AI agents while rigorously verifying AI-generated code.
Responsibilities
- Work side-by-side with the CEO and founding team on real-world B2B AI engineering and R&D challenges.
- Apply university fundamentals in feedback control, dynamic programming, and Markov Decision Processes (MDPs) to coordinate multi-agent AI workflows and keep them reliable.
- Build automated verification, testing, and reward pipelines to catch errors and prevent reasoning drift in AI-generated outputs.
- Write, review, and validate clean code and data pipelines in Python and SQL using modern AI coding tools.
Requirements
- Strong university foundation in Applied Mathematics, Control Theory, Cybernetics, Physics, Algorithms, or Computer Science (advanced students and recent graduates welcome — no commercial experience required).
- Solid coursework or theoretical understanding of dynamic programming, optimization, probability, Markov chains/MDPs, or feedback control systems.
- Good practical coding skills in Python and SQL, and enthusiasm for using modern AI and multi-agent coding tools daily.
- Availability for remote part-time collaboration (~20 hours/week, min. 4 hours/day, 6+ months), flexible around university lectures and exams.
- Good working English.
What We Offer
- Direct mentorship and daily collaboration with the CEO and serial technology founders — we teach you how to apply your mathematical foundation to production AI systems from day one.
- Pure commercial B2B and R&D projects with competitive international compensation and flexible remote hours tailored to your university schedule.