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
- 68 years of engineering experience, with at least 23 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
