The Role
Lead the engineering team to design, build and deploy AI-agent driven enterprise solutions. Architect full-stack apps, LLM services, and cloud infrastructure. Hands-on implementation, performance troubleshooting, recruit and mentor engineers, and align technical architecture with business goals.
Summary Generated by Built In
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 add new business logic, generate new integrations on the fly, and root cause issues instantly. That’s a $1.5T opportunity!We are a startup based in San Francisco and New Delhi, founded by serial entrepreneurs. With a growing office in South Delhi, we’re assembling a core leadership team to drive architecture, development and delivery across cloud infrastructure, full-stack web and LLM-powered back ends.
Turgon is funded by 3 incredible investors from Silicon Valley and has been one of the most closely watched companies in the US AI innovation market, quoted by top VCs as one of the top 3 enterprise companies in the Valley.
About the Role
We are looking for a lead / founding engineer to help us rapidly scale our AI agents, productize our flows and deliver integration and data solutions to our customers. With a list of marquee customers such as Revlon, McCarthy Tires, Royal Orchid Hotels as well as an exploding demand for our AI-led services, we see this role as being pivotal to our growth.
This is a great opportunity for an entrepreneurial engineer who wants to be at the cutting edge of AI agentic frameworks to work alongside repeat founders, build out the engineering organization and drive incredible impact.
Core Responsibilities
- Lead, mentor and grow a team of AI engineers, Data engineers, DevOps and Full-Stack engineers.
- Architect, build and deploy end-to-end solutions spanning:
- > Full-stack applications (Next.js, React, TypeScript, server-side rendering, APIs)
- > LLM services (LangChain, LangGraph, Hugging Face integrations, model deployment)
- > Cloud infrastructure (AWS/Azure/GCP IaC, CI/CD, monitoring, security)
- Hands-on implementation to bootstrap new projects, troubleshoot critical issues and optimize performance
- Collaborate with the CTO and CEO to align architecture with business goals
- Be on top of the latest research and developments in agentic frameworks. Interface with (and learn from) our AI advisors from OpenAI, Together, NYU etc.
- Recruit, interview and onboard top engineering talent
Must-Have Qualifications
- 5+ years of hands-on experience across DevOps, Full-Stack and LLM-focused back-ends
- Expert in at least one public cloud (AWS, Azure, GCP); comfortable designing IaC (Terraform, CloudFormation) and CI/CD pipelines
- Strong Python skills; hands-on with LangChain, LangGraph (including Multi-Agent Orchestration) and Hugging Face Transformer libraries
- Experience deploying and serving ML/LLM models (Docker, Kubernetes, serverless)
- Solid understanding of data pipelines (SQL/NoSQL) and observability tools
- Excellent communication, planning and stakeholder-management abilities
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 South Delhi and San Francisco
- Access to top AI researchers worldwide to drive innovation and continuous learning
- Flexible work-from-home days balanced with on-site collaboration
Skills Required
- 5+ years hands-on experience across DevOps, Full-Stack and LLM-focused back-ends
- Expertise in at least one public cloud (AWS, Azure, GCP)
- Experience designing IaC using Terraform or CloudFormation and building CI/CD pipelines
- Strong Python skills
- Hands-on experience with LangChain and LangGraph, including multi-agent orchestration
- Experience with Hugging Face transformer libraries and LLM integrations
- Experience deploying and serving ML/LLM models (Docker, Kubernetes, serverless)
- Solid understanding of data pipelines and databases (SQL/NoSQL)
- Experience with full-stack technologies (Next.js, React, TypeScript)
- Excellent communication, planning and stakeholder-management abilities
- Prior startup or founding-team experience
- TensorFlow or PyTorch expertise
- Familiarity with vector databases (Pinecone, Weaviate)
- Familiarity with MLOps tools (MLflow, TFX)
- Experience with enterprise data platforms (Snowflake, Databricks) or ERP/CRM/Reporting systems
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Turgon AI is an AI-native system integrator that helps enterprises modernize legacy IT and data infrastructure. Its platform combines specialized AI agents with subject-matter experts to clean and govern data, map lineage, build integrations, migrate systems, connect legacy mainframes to cloud infrastructure, and deliver analytics-ready platforms. Turgon’s approach accelerates enterprise transformation while reducing implementation costs and enabling organizations to adopt AI.
