About the Role

As a Senior AI/ML Engineer you will help us architect and implement our set of semi-autonomous agents that can collaborate with each other and their human counterparts to create a semantic understanding of enterprise systems and their associated data, write code to integrate and run complex systems, QA data pipelines and observe systems in run-time / production.  

Responsibilities

• Work with the team to discover new ways to build agentic products so we can create truly autonomous AI employees.
• Architect orchestration layers for AI agents and their human counterparts to collaborate. 
• Build out feedback / learning mechanisms for agents across enterprise environments. 
• Build systems for integrating AI models with third-party tools, enabling diverse real-world applications.
• Stay updated with advancements in LLMs and machine learning to keep Turgon at the forefront of AI & agentic innovation.

Requirements

• 2+ years of professional experience in ML/AI engineering, with expertise in LLM fine-tuning and deployment.
• Experience with tools like Langsmith and Langchain for managing and optimizing LLM pipelines.
• Strong programming skills, particularly in Python, and experience with MLOps tools like MLflow.
• Solid understanding of backend systems and software engineering best practices.
• Excellent communication skills and the ability to convey complex technical concepts to diverse audiences.

Nice-to-Have Skills

• Prior startup or founding-team experience
• TensorFlow, PyTorch or other ML framework expertise
• Familiarity with vector databases (Pinecone, Weaviate) and MLOps tools (MLflow, TFX)
• Experience/Familiarity with some Enterprise Software (Snowflake, Data Bricks, any ERP, CRM, Reporting and Analytics etc) or Data Engineering (Enterprise Data Pipelines, Integrations etc) 

Education & Certification

• We don’t actually care about qualifications as long as you are a rockstar engineer who wants to keep learning and make a massive impact.

What We Offer

• A values aligned culture: always learning mindset, collaborative environment and an entrepreneurial approach to getting things done. 
• Competitive, flexible salary based on experience
• Equity via ESOPs
• Leadership role shaping AI/LLM services at enterprise scale
• Collaborative, high-energy startup culture in San Francisco and South Delhi
• Access to top AI researchers worldwide to drive innovation and continuous learning.