Developer Relations Engineer (DevRel)

Nugen Deeptech Pvt. Ltd.

Mumbai

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
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Benefits offered by this job

Foundational impact in AI
Early ownership in community programs
Technical depth in AI concepts

Job summary

A technology company specializing in AI reliability is seeking a Developer Relations Engineer to build resources, support developers with integration, and drive adoption within the community. Candidates should have at least 2 years of experience in building applications with REST APIs. This role focuses on making AI reliability accessible for high-stakes applications. Offers opportunities for early ownership in developer relations and impact in AI development.

Qualifications

  • 2+ years building applications with REST APIs or developing SDKs/client libraries.
  • Mindset to identify what makes APIs easy or frustrating.
  • Ability to explain complex concepts through code examples and demos.
  • Comfort with public speaking at meetups and conferences.
  • Experience with GitHub including pull requests and code reviews.

Responsibilities

  • Create SDKs and code samples demonstrating domain alignment and multi-agent workflows.
  • Help developers implement domain alignment and debug API issues.
  • Present at meetups and create technical content for developer communities.
  • Collect developer feedback to shape product direction.

Skills

Building applications with REST APIs
Developer experience mindset
Explaining complex technical concepts
Public speaking
GitHub contributions

Job description

At Nugen, we are building AI reliability infrastructure that transforms generic foundation models into domain-aligned systems organizations can trust. Our platform enables businesses to deploy reliable AI for high-stakes applications through train-time alignment, confidence measurement, and inference control. We are looking for a Developer Relations Engineer (DevRel / DRE) to make domain alignment accessible to developers building production AI applications.

Responsibilities
  • Build developer resources: Create SDKs, code samples, and cookbooks showing real-world implementation patterns for domain alignment, multi-agent workflows, RAG enhancement, and integration with popular AI frameworks.
  • Support integration: Help developers implement domain alignment, debug API issues, optimize their workflows, and translate use cases into working solutions. Write clear guides covering the complete journey from document management and benchmark creation through model deployment and production monitoring.
  • Drive adoption: Present at meetups and hackathons, create technical content, and engage developer communities around AI reliability and domain alignment. Grow community by launching developer programs, organize events, and build an ecosystem of developers shipping reliable AI with Nugen.
  • Shape product direction: Collect developer feedback and translate it into actionable improvements for the alignment platform and developer experience.
Requirements
  • 2+ years building applications with REST APIs or developing SDKs/client libraries
  • Developer experience mindset that identifies what makes APIs easy or frustrating
  • Ability to explain complex technical concepts through code examples and demos
  • Comfort with public speaking at meetups and conferences
  • Mindset: ship quickly, iterate based on feedback, wear multiple hats
  • Experience contributing to GitHub repositories including pull requests, code reviews, and merging
You might thrive in this role if you:
  • Experience building with LLM APIs and understanding reliability challenges. Familiarity with RAG architectures, vector databases, and agent frameworks. Knowledge of fine-tuning, benchmarking, or ML evaluation
  • Open source contributions or developer tool experience. Previous DevRel or technical writing experience
What You Get
  • Foundational impact: Help developers build the next generation of reliable AI applications
  • Early ownership: Establish DevRel programs and community from the ground up
  • Technical depth: Work with sophisticated AI reliability concepts and make them accessible
  • Join us in making AI reliability accessible to every developer, every business, and the world.
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