Artificial Intelligence Research Engineer

Role & responsibilities

• Person has to be hands-on and an individual contributor with leadership impact
• Design and implement agentic architectures: single- and multi-agent, hierarchical flows, and tool-rich execution.
• Build production agents for domain workflows (retrieval, reasoning, tool use, approvals, human-in-the-loop).
• Own context engineering: structuring prompts, memory, retrieval, grounding, and evaluation loops.
• Make agents scale, concurrency, state & persistence, streaming, evaluation/telemetry, and cost controls.
• Partner with product/domain teams to convert ambiguous problems into shipped agents with measurable outcomes.

Kindly Apply here: https://zycus.talismatic.com/jobs/JKCJLXPXK

Preferred candidate profile

• 2-7 years of hands-on experience in software engineering, with at least 2 years in applied AI, LLMs, or agentic system design.
• Proven experience in building and deploying enterprise AI applications ideally workflow, conversational, or decision agents.
• Strong proficiency in Python, LangChain, LlamaIndex, or similar frameworks for agentic orchestration.
• Deep understanding of LLMs, embeddings, retrieval-augmented generation (RAG), and multi-agent systems.
• Solid experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for scalable AI deployment.
• Strong grasp of data engineering concepts, including vector stores (Pinecone, FAISS), document indexing, and contextual retrieval.
• Ability to lead through influence guiding technical decisions, mentoring peers, and driving innovation across teams.

Must Have:

• 2+ years total software engineering; strong fundamentals in Java or Python or JS/TS (any stack: Java stack, MEAN, or Python).
• Demonstrated track record of building and deploying agents (workflow/autonomous/chat) with tools & external systems.
• Comfort with agent frameworks/patterns (e.g., graph/workflow agents, crew-style collaboration), tooling protocols, and RAG-plus grounding.
• Deep prompt/context engineering skills; knows when to use structure, when to retrieve, and how to evaluate.

Why You Should Join Zycus

• Work on cutting-edge applications powered by AI-assisted development workflows.
• Collaborate with a forward-thinking engineering team that values innovation and continuous learning.
• Access to premium AI development tools to boost productivity and code quality.
• Competitive compensation, flexible work arrangements, and opportunities for career advancement.