Developer Advocate

Lexsi Labs; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading AI research lab is seeking a DevRel to be the technical bridge between the platform and the developer community. You will engage with engineering teams to enhance developer experience through high-quality demos, tutorials, and active community involvement. Responsibilities include organizing developer events, producing technical content, and representing the lab at various forums. The ideal candidate will have a solid software engineering background, excellent communication skills, and a passion for developer engagement.

Qualifications

• Build, debug, and explain real systems.
• Engage with APIs and modern AI/ML workflows.
• Communicate complex concepts clearly.
• Represent technical products through talks.
• Execute community programs end-to-end.
• Empathetic towards developers.

Responsibilities

• Be the public technical voice across forums.
• Organize developer events to drive adoption.
• Create product evangelism content.
• Build reference projects and integration examples.
• Engage with developers on community channels.
• Capture developer feedback for product teams.

Skills

Strong software engineering foundation

Comfort with APIs and developer tooling

Proven communication of technical concepts

Experience in public technical representation

Planning community programs

High empathy for developers

Tools

ML frameworks (e.g., PyTorch, TensorFlow)

MLOps tooling (e.g., MLflow, Kubeflow)

Job description

Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable, and safe Superintelligence. Most of our work involves creating new methodologies for efficient alignment, interpretability-led strategies and foundational model research across enterprise and tabular data. Our mission is to build AI systems that are powerful, transparent, and trustworthy by design.

Our team thrives on deep technical rigor, hands‑on ownership, and a strong bias toward building real systems that work in production. At Lexsi.ai, we operate with a flat structure and a culture that values curiosity, initiative, and clarity over noise.

As a DevRel at Lexsi.ai, you will be the technical bridge between our platform and the developer community. You will work closely with engineering and product teams to help developers, ML engineers, and data scientists succeed with lexsi.ai through high‑quality demos, tutorials, direct community engagement, and feedback loops that improve developer experience.

Responsibilities

• Be the public technical voice of Lexsi.ai across meetups, conferences, podcasts, webinars, and developer forums.
• Organize and host developer events such as meetups, workshops, hackathons, and community AMAs to drive adoption.
• Create and deliver product evangelism content including demos, talks, tutorials, and technical walkthroughs.
• Build and maintain reference projects, templates, and integration examples that developers can copy‑paste and ship.
• Engage with developers on GitHub issues/discussions and community channels to unblock adoption and build trust.
• Capture developer pain points and feature requests and translate them into actionable inputs for product and engineering.
• Support launches with developer‑friendly narratives, release notes, “what’s new” guides, and upgrade paths.

Requirements

• Strong software engineering foundation with the ability to build, debug, and explain real systems.
• Comfort working with APIs, developer tooling, and modern AI/ML workflows in production‑like environments.
• Proven ability to communicate complex technical concepts clearly to technical audiences in writing and live settings.
• Experience representing a technical product publicly through talks, demos, workshops, or community leadership.
• Ability to plan and execute community programs such as meetups, hackathons, or developer enablement series end‑to‑end.
• High empathy for developers and strong instincts for what great developer experience feels like.

Nice to Have

• Experience with ML frameworks or MLOps tooling (e.g., PyTorch, TensorFlow, MLflow, Kubeflow).
• Familiarity with LLMs, agentic systems, evaluation stacks, or AI platform products.
• Prior open‑source contributions or experience maintaining developer‑facing projects.
• Experience producing technical video content, livestream demos, or hands‑on training sessions.
• Startup experience with high ownership, speed, and ambiguous problem‑solving.