This role is for one of our clients
Industry: Business Consulting and Services
Seniority level: Mid-Senior level
Min Experience: 5 years
Location: Bengaluru
JobType: full-time
₹60,00,000 - ₹90,00,000 a year
We are looking for a Principal AI Research Engineer – Intelligent Systems to lead exploratory and applied research in advanced machine learning and multi-agent intelligence. This role is designed for researchers who enjoy moving fluidly between theory, experimentation, and system-building—taking novel ideas from papers to prototypes and, ultimately, scalable implementations.
You will work at the frontier of intelligent systems, contributing original research while shaping how advanced AI capabilities are translated into practical, production-ready technologies.
What You’ll Work On
Research & Innovation
Lead original research initiatives in areas such as reinforcement learning, multi-agent coordination, relational learning, and intelligent planning.
Develop novel algorithms, models, and learning paradigms that push the boundaries of current AI systems.
Contribute to high-impact research publications and technical disclosures.
Applied Intelligence & Prototyping
Design and implement experimental systems to validate research hypotheses in realistic settings.
Build prototypes that demonstrate how theoretical advances can solve complex, real-world problems.
Evaluate algorithms at scale using simulation environments and distributed experimentation setups.
Systems & Engineering Integration
Collaborate with engineering teams to transition research prototypes into robust, scalable architectures.
Balance computational efficiency, scalability, and theoretical soundness in system design.
Influence long-term technical direction by identifying promising research paths with strong application potential.
Collaboration & Thought Leadership
Partner with cross-functional teams including product, platform, and infrastructure groups to align research outcomes with strategic goals.
Mentor junior researchers and engineers, fostering a culture of rigorous thinking and experimentation.
Represent the organization through publications, talks, and participation in the broader research community.
What We’re Looking For
Research Background
PhD or equivalent research experience in Computer Science, AI, Machine Learning, Robotics, or a closely related field.
Demonstrated research impact through publications at top-tier venues such as NeurIPS, ICML, ICLR, AAAI, IJCAI, AAMAS, CoRL, or equivalent.
Technical Expertise
Deep expertise in one or more of the following domains:
Reinforcement learning, deep learning, or planning systems
Graph-based and relational learning methods
Multi-agent systems, coordination, and collective intelligence
Optimization and distributed learning algorithms
Engineering & Tools
Strong programming skills in Python with experience using PyTorch, JAX, or similar frameworks.
Ability to reason across algorithm design, experimental methodology, and system-level constraints.
Professional Skills
Strong written and verbal communication skills with the ability to explain complex ideas clearly.
Collaborative mindset with experience working across research and engineering teams.
Nice to Have
Experience with agent frameworks, simulation platforms, or large-scale experimentation environments.
Background in distributed systems or scalable infrastructure for AI workloads.
Prior experience translating research into production-grade or customer-facing systems.
Core Skills
Advanced AI Research • Machine Learning • Multi-Agent Intelligence • Reinforcement Learning • Optimization • Scientific Computing • Python • PyTorch • JAX
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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