Job Description
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 unlock—and 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 outputs—your 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
