Job Description

Name of company:

by Workverse

Join our mission:

We are building an automation-proof workforce for Bharat. We are rooting for Team Humans by training graduates to think, solve, and communicate beyond what AI can do. We want smart fellows to thrive alongside AI and remain in control - instead of being replaced by it.

What we do:

Formerly known as X Billion Skills Lab (since 2017), The Smart Fellowship is a hybrid workplace simulation where learners master in-demand workplace skills and GenAI skills through role play. In our immersive & narrative based experience, learners "work" in imaginary companies and solve 50+ generalist workplace scenarios - to build a strong intellectual foundation for rapid growth in the real world of work. Till date we have worked with 50,000+ learners and are even a credit program in one of India's top private universities.

The best part about this role:

Get direct exposure to customer relationship building, HR strategy, and operations in a fast-growing startup Opportunity to work closely with leadership and see your ideas in action Contribute to building a future-ready, human-first workforce in the age of AI

Location:

Khar West, Mumbai (Work from office)

P.S. We're looking for someone who genuinely cares about the work we're doing and sees themselves growing with us. If it's the right fit on both sides, we'd love to offer a long term commitment with fast tracked career growth.

Meet the founder

Samyak Chakrabarty has been featured by Forbes as one of Asia's most influential young entrepreneurs and has founded several social impact initiatives that have won national and international recognition. He has over 18 years of entrepreneurial experience and is on a mission to empower humans to outsmart artificial intelligence at work. Till date his work has positively impacted 1,00,000+ youth across the nation. For more information please visit his .

Your role:

As an AI/ML Architect at Workverse, you'll play a key role in shaping intelligent agents that assist in enterprise decision-making, automate complex data science workflows, and integrate seamlessly into our simulation. These agents will shape Neuroda, World's first AI soft-skills coach and workplace mentor leveraging reasoning, tool use, and memory--while staying aligned with our focus on enhancing the soft-skills learning experience within our simulation environment.

We're seeking a strong engineering generalist with deep experience in LLMs, agent frameworks, and production-scale systems. You've likely prototyped or shipped agent-based systems, pushed the boundaries of what LLMs can do, and are looking for a meaningful opportunity to build the future of human-first workforce in the age of AI

Responsibilities:

Lead the design and development of

Enterprise AI Agents

and

Data Science Agent systems

that combine reasoning, tool orchestration, and memory. Collaborate with product, research, and infrastructure teams to create scalable agent architectures tailored for enterprise users. Build agent capabilities for tasks like automated analysis, reporting, data wrangling, and domain-specific workflows across business verticals. Integrate real-time knowledge, enterprise APIs, RAG pipelines, and proprietary tools into agentic workflows. Work closely with the alignment and explainability teams to ensure agents remain safe, auditable, and transparent in their reasoning and output. Continuously evaluate and incorporate advances in GenAI (e.g., controllability, multi-modal models, memory layers) into the agent stack.

Requirements:

Demonstrated experience building with LLMs and Agentic frameworks (e.g., LangChain, LangFlow, Semantic Kernel, CrewAI, Haystack, ReAct, AutoGPT, etc Experience with productionizing AI/LLM workflows and integrating them into real-world applications or systems 2+ years of software engineering experience, ideally with some time in early-stage startups or AI-first environments. Strong Python skills and a solid understanding of full-stack backend architecture (APIs, cloud infrastructure(AWS), relational, non-relational, graph-database (SQL, NO-SQL, ArangoDB, Neo4j) (Bonus) Experience working on agent toolchains for data science, ML ops, game data science and game analytics.

Think you're the one? Apply:

Double check if you are comfortable with the work-from-office requirement
Share your CV with , along with a brief note about why you think this role was made for you!

Job Type: Full-time

Schedule:

Day shift
Work Location: In person