Design and implement semi-autonomous AI agents and orchestration layers, integrate models with third-party tools, build feedback/learning systems, and maintain LLM pipelines and MLOps for enterprise environments.
About Us
At Turgon, we believe there is a massive opportunity to reimagine how IT services are delivered by leveraging a combination of AI agents and humans to build, integrate and run the enterprise stack. AI agents that understand your existing infrastructure, processes and data and can rapidly help you modernize your infrastructure and generate insights about your business. That’s a $1.5T opportunity!
We are a startup based in San Francisco and New Delhi, founded by serial entrepreneurs. We are building out our core team to re-imagine and build an AI Agent version of Accenture. If you are compelled by this vision, let’s chat!
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.
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