About Hiring Team: Building agentic systems that think, decide, and act autonomously inside real enterprises.

~ Full-time, Bellandur, Bengaluru, Karnataka, India (5 days a week, in office)

~ Candidates from IITs, NITs, IIITs, DTU, BITS, or other recognized institutes preferred.

What You Bring

Bachelor's degree in Computer Science or equivalent practical experience

Hands-on experience in applied machine learning, NLP, or AI systems

development, particularly with LLMs and agentic frameworks

Deep familiarity with large language models such as GPT-4, Claude, or similar;

including prompt tuning, fine-tuning, or API-based deployment

experience with Retrieval-Augmented Generation (RAG) pipelines using

vector stores and embeddings

Knowledge of multi-agent systems, task orchestration, and related architectures

Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)

Experience integrating with agent orchestration frameworks like LangChain,

LangGraph, Temporal, n8n, or custom stacks

Solid understanding of enterprise software principles, including version control,

CI/CD pipelines, API design, and performance monitoring

Excellent communication and collaboration skills; ability to thrive in a fast-paced,

startup environment with evolving priorities

What You'll Do

Design and deploy cutting-edge AI agents using our orchestration layer built on n8n Temporal, and next-gen agentic stacks

Build intelligent, context-aware workflows that plug directly into enterprise systems

transforming how businesses make decisions, serve customers, and manage

operations

Prototype fast. Iterate faster. You'll test, fail, learn, and ship production-grade AI

agent flows that power real business outcomes

Collaborate with product and design to identify high-impact user journeys where AI

can be a 10x unlockand then build them

Push the limits of RAG, embeddings, and vector search to bring real-time, grounded

intelligence into every agent decision

Engineer smart integrations with OpenAI, Anthropic, Claude, and other LLMs

blending in enterprise APIs, CRMs, internal tools, and more

Lead development of multi-agent orchestration flows: planner-executor models,

memory layers, persona-based behaviours, and tool-using agents

Own the AI pipeline end-to-end: prompt engineering, dynamic context handling,

agent simulation and evaluation, all the way to deployment and monitoring

Help set the bar for reliability, latency, and safety of AI outputsyour work will

shape how users trust AI inside their organizations

Work alongside curious, driven people who care deeply about shipping

transformative products, not just academic demos

Benefits

Competitive salary and equity package

Flexible PTO and work hours

Latest tools and equipment

Staff AI Engineer