Agentic AI Research Engineer
First seen by Alion on Nov 14, 2026.
About the Role :
At Zycus, we believe the next generation of enterprise software will not be powered by workflows - it will be powered by intelligent AI agents.
We are building an enterprise-grade Agentic AI Platform capable of autonomous reasoning, planning, collaboration, memory, learning, and execution at scale.
We're looking for exceptional engineers and researchers who want to solve difficult AI systems problems - not just integrate APIs.
What You'll Build :
- Autonomous AI Agents
- Multi-Agent Collaboration Frameworks
- Agent Memory Systems
- Planning & Reasoning Engines
- Enterprise Knowledge Graphs
- Retrieval-Augmented Generation (RAG)
- Long-term Memory Architectures
- Tool-use Frameworks
- Workflow Orchestration
- Model Evaluation Platforms
- AI Safety & Guardrails
- AI Observability
- Agent Benchmarking Frameworks
Research Responsibilities :
- Read and implement cutting-edge AI research.
- Reproduce state-of-the-art techniques from leading conferences and journals.
- Evaluate emerging foundation models and reasoning architectures.
- Prototype new ideas rapidly and validate them through experimentation.
Engineering Responsibilities :
- Convert research into production-grade software.
- Build scalable AI infrastructure and services.
- Design APIs, SDKs, and reusable AI platform components.
- Optimize latency, cost, and reliability of AI systems.
Who We're Looking For :
- M.Tech or PhD in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Computational Linguistics, or a related discipline.
- Outstanding software engineering skills in Python.
- Strong foundations in algorithms, distributed systems, and software architecture.
- Deep understanding of machine learning and modern AI techniques.
- Ability to translate research ideas into working systems.
Technologies You May Work With :
- Python, PyTorch, JAX, Hugging Face, vLLM, Ray, LangGraph, DSPy, LlamaIndex, Kubernetes, Docker, Vector Databases, Graph Databases, MCP, FastAPI, GPU Computing.
Skills
Artificial Intelligence, Machine Learning, Python, Agentic AI, Generative AI, LLM, NLP, Deep Learning, PyTorch, Knowledge Graph, R&D