Tech Lead - Generative AI

Join us to reimagine how businesses can achieve operational autonomy – with AI at the core.

About Aunix AI

Aunix AI empowers enterprises to transition from manual and fragmented operations to intelligent autonomy through AI-driven automation. Our platform seamlessly integrates systems, orchestrates enterprise workflows, and enables real-time adaptability, helping businesses simplify operations and focus on strategic goals. We prioritize scalability, security, governance, and auditability in every deployment, ensuring confidence in enterprise-wide automation initiatives.

The Role

As a full-time Tech Lead (Generative AI) at Aunix AI, you'll architect and own generative AI projects, drive innovation and implement state-of-the-art technologies. From designing LLM-powered orchestration flows with LangGraph to building frameworks for evaluation and monitoring with LangSmith, you’ll shape how AI powers real-world enterprise workflows.

If you thrive on working at the frontier of LLM systems engineering, enjoy scaling prototypes into production-grade systems, and want to make AI reliable, explainable, and enterprise-ready, this is your chance to build a category-defining product.

What You'll Do

• Spend ~70% of your time architecting, prototyping, and productionizing AI systems (LLM orchestration, agents, evaluation, observability)
• Lead and mentor a small engineering team (~30% of your time) while staying hands-on with design and code reviews
• Own the delivery of AI frameworks: orchestration (LangGraph), evaluation/monitoring (LangSmith), vector/graph DBs, and other GenAI infra
• Partner with the Full-Stack Tech Lead to seamlessly integrate AI services into frontend and backend workflows
• Build systems for AI evaluation, monitoring, and reliability to ensure trustworthy performance at scale
• Translate product needs into AI-first solutions, balancing rapid prototyping with enterprise-grade robustness
• Stay ahead of the curve by exploring emerging GenAI frameworks, tools, and research for practical application

You Might Be A If You Have

• 6–8 years of engineering experience, with at least 2–3 years in AI/ML or GenAI systems
• Hands-on experience with LangGraph, LangSmith, LangChain, or similar frameworks for orchestration/evaluation
• Deep understanding of LLM workflows: prompt engineering, fine-tuning, RAG, evaluation, monitoring, and observability
• Experience integrating AI pipelines with enterprise applications and hybrid infra setups (AWS, on-prem, VPCs)
• Proven experience building AI-native user experiences (assistants, copilots, intelligent automation flows)
• Strong understanding of cloud platforms, distributed systems, and data engineering.
• Experience in leading technical teams, managing project deliverables, and mentoring team members.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• A strong product mindset - comfortable bridging research-level concepts with production-ready business use cases
• Startup mindset: resourceful, pragmatic, and outcome-driven
• Bonus: familiarity with enterprise SaaS/IT ecosystems (Salesforce, Oracle ERP, NetSuite, etc.)

Why Join Us

• Own the AI backbone of a generational product at the intersection of AI, automation, and enterprise data
• Work closely with founders and leadership with no layers of bureaucracy
• End-to-end ownership of AI systems you design and ship
• Be a thought partner in setting AI-first principles for both tech and culture