Turgon AI

AI-native system integrator for data modernization

Lead Engineer / Founding Engineer

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeDelhi, India

About the Job

Requirements

At least 5 years of hands-on experience across DevOps, full-stack development, and LLM-focused back ends.
Expertise in at least one public cloud (AWS, Azure, or GCP), with the ability to design infrastructure as code using Terraform or CloudFormation and build CI/CD pipelines.
Strong Python skills and hands-on experience with LangChain, LangGraph (including multi-agent orchestration), and Hugging Face Transformer libraries.
Experience deploying and serving machine-learning or large language models using Docker, Kubernetes, or serverless technologies.
A solid understanding of data pipelines using SQL or NoSQL and observability tools.
Strong communication, planning, and stakeholder-management abilities.

Responsibilities

Lead, mentor, and grow a team of AI engineers, data engineers, DevOps engineers, and full-stack engineers.
Architect, build, and deploy end-to-end solutions, including full-stack applications using Next.js, React, and TypeScript, server-side rendering, and APIs; LLM services using LangChain, LangGraph, Hugging Face integrations, and model deployment; and cloud infrastructure using AWS, Azure, or GCP, infrastructure as code, CI/CD, monitoring, and security.
Implement solutions hands-on to bootstrap new projects, troubleshoot critical issues, and optimize performance.
Collaborate with the CTO and CEO to align architecture with business goals.
Stay current with research and developments in agentic frameworks and interface with AI advisors from OpenAI, Together, and NYU.
Recruit, interview, and onboard engineering talent.

Desired Qualifications

Prior startup or founding-team experience.
Expertise with TensorFlow, PyTorch, or another machine-learning framework.
Familiarity with vector databases such as Pinecone and Weaviate, and MLOps tools such as MLflow and TFX.
Experience with or familiarity with enterprise software such as Snowflake, Databricks, ERP, CRM, reporting, or analytics systems, or with data engineering such as enterprise data pipelines and integrations.

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

About the Company

Turgon AI

AI-native system integrator for data modernization

Turgon AI is an AI-native system integrator that helps large enterprises modernize their IT and data infrastructure. It combines proprietary AI agents with human experts to convert legacy, siloed systems into AI-ready data foundations. Its platform covers data migration, system consolidation and integration, data governance, and analytics enablement, working with enterprise systems such as Salesforce, Snowflake, Databricks, SAP, and Oracle. The company serves customers in logistics, supply chain, hospitality, finance, and retail, and highlights case studies like McCarthy Tire Service and Penguin Solutions. Turgon differentiates itself by integrating AI-powered agents with human expertise to perform data modernization end-to-end, rather than relying on traditional, purely human-driven system integration. Its goal is to help enterprises unlock value from their data by creating unified, governable data foundations that enable scalable analytics and AI initiatives.

Company size: 11-50
Company stage: Seed
Total funding: $6.5M
Headquarters: San Francisco, CA
Founded: 2024

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