Full-Time

Lead Engineer / Founding Engineer

Turgon AI

Turgon AI

11-50 employees

AI-native IT modernization and data integration

No salary listed

New Delhi, Delhi, India

Hybrid

Flexible work-from-home days are balanced with on-site collaboration.

Category
Software Engineering (1)
Required Skills
Kubernetes
Pinecone
Microsoft Azure
Python
React.js
NoSQL
TensorFlow
PyTorch
SQL
MLflow
Data Engineering
Infrastructure as Code (IaC)
Docker
TypeScript
CloudFormation
AWS
LangGraph
Terraform
Next.js
Observability
REST APIs
LangChain
DevOps
Databricks
Serverless
Snowflake
Google Cloud Platform

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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: Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Experience designing infrastructure as code with Terraform or CloudFormation and building continuous integration and continuous delivery 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.
  • Understanding of data pipelines, including SQL and NoSQL systems, and observability tools.
  • Strong communication, planning, and stakeholder-management abilities.
Responsibilities
  • Lead, mentor, and grow a team of artificial intelligence engineers, data engineers, DevOps engineers, and full-stack engineers.
  • Architect, build, and deploy end-to-end full-stack applications using Next.js, React, TypeScript, server-side rendering, and application programming interfaces.
  • Architect, build, and deploy large language model services using LangChain, LangGraph, Hugging Face integrations, and model deployment.
  • Architect, build, and deploy cloud infrastructure across Amazon Web Services, Microsoft Azure, and Google Cloud Platform using infrastructure as code, continuous integration and continuous delivery, monitoring, and security.
  • Implement solutions hands-on to bootstrap new projects, troubleshoot critical issues, and optimize performance.
  • Collaborate with the Chief Technology Officer and Chief Executive Officer to align architecture with business goals.
  • Stay current with research and developments in agentic frameworks and interface with artificial intelligence advisors from OpenAI, Together, and New York University.
  • 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 enterprise software such as Snowflake, Databricks, enterprise resource planning, customer relationship management, reporting, and analytics systems, or with enterprise data engineering, pipelines, and integrations.

Turgon AI is an AI-native system integrator that helps enterprises modernize IT and data infrastructure. It uses an agentic platform where specialized AI agents work with human experts to design, build, and continuously update data systems, enabling data migration, system consolidation and integration, data governance, and analytics acceleration. This human-in-the-loop approach bridges accuracy gaps and automates workflows, delivering faster project delivery and lower costs than traditional methods. The company differentiates itself with its AI agent pod and partnerships, such as the DynPro alliance, to tackle large-scale modernizations across industries like logistics, hospitality, finance, and retail.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • DynPro and Turgon announced 6-12 week modernization cycles in February 2026.
  • Turgon reported 2025 backing from CIV, Founder Collective, and Slow Ventures.
  • Hiring for sales, engineering, and delivery roles signals active customer demand and expansion.

What critics are saying

  • Turgon AI remains a 2024 startup; one partnership and limited public traction prove little.
  • DynPro can absorb the best parts of Turgon's workflow, commoditizing the startup by 2027.
  • Enterprise modernization buyers distrust autonomous agents after a failed migration can destroy a career.

What makes Turgon AI unique

  • Turgon AI pitches AI-native system integration, pairing agents with human experts.
  • Its February 2026 DynPro partnership adds implementation depth and enterprise credibility.
  • San Francisco and Delhi operations support 24-hour delivery across modernization projects.

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Benefits

Company Equity

Hybrid Work Options

Growth & Insights

Headcount

6 month growth

-14%

1 year growth

-14%

2 year growth

-14%