Ai Developer Tooling

Ai Developer Tooling Engineer Jobs

5 jobs found

1mo ago

Founding Developer Relations Engineer

Goaly Palo Alto, CA

Palo Alto, CA

1mo ago Closed

Full time Ai Developer Tooling Deep Learning Developer Relations

This position is no longer accepting applications (closed Nov 3, 2026).

Job Description

Goaly is coming out of stealth, and the company needs a technical voice who can make post-training performance tangible for the people running it day to day. As the first Developer Relations hire, you will build the benchmarks, tooling, and documentation that practitioners rely on, then distribute those artifacts across the channels where ML engineers actually learn and share.

What you will do

Build the signature technical artifacts, including a public post-training efficiency benchmark, reproducible before/after case studies (including doomed-run kills, silent throughput regressions, and dollars per eval point), and the open-source tools released around them.
Write conversion-focused docs such as quickstarts, reference documentation, and example integrations for the stacks users run, including PyTorch distributed, Megatron, FSDP, TorchTitan, Ray, Slurm, Kubernetes on GPUs, Weights & Biases (W&B), and MLflow. The goal is to help an engineer generate a read-only Retroactive Kill Report on their own cluster without needing Goaly’s involvement.
Create practitioner-ready technical content, including deep-dive engineering posts, benchmark write-ups, failure-mode teardowns (for example, “seven ways an RL run dies silently”), short demo videos, and live walkthroughs.
Own distribution by running Goaly’s technical presence across X, LinkedIn, GitHub, Hacker News, and the ML-infra Discord and Slack communities, plus deliver talks at venues users attend such as PyTorch Conference, MLSys, Ray Summit, GTC, and NeurIPS and ICML workshops, along with Bay Area AI infra meetups.
Act as a feedback loop: sit with design partners, reproduce their problems on Goaly’s stack, and deliver precise, prioritized engineering feedback. Convert repeated questions into docs, tools, or product changes.
Build community around the problem, not the product, through practitioner conversations, office hours, and a newsletter or series focused on learning about post-training efficiency.
Amplify the founders by turning the founding team’s Llama post-training infrastructure experience into content and talks, coordinating with the GTM team to strengthen both the design-partner pipeline and candidate pipeline.
Measure and improve by tracking reach, repo adoption, the docs funnel, inbound design-partner requests, and hires sourced. Double down on what works and stop what does not.

How the work is split

About half of the week is building: running real post-training workloads on Goaly’s stack, creating benchmark harnesses, building example integrations, and writing docs that take someone from zero to a first result in about thirty minutes.
About half of the week is distribution and relationship building: engineering posts, talks, open-source releases, and one-on-one conversations that lead to design partners and hires.

Who you are

3+ years as a software or ML engineer, with the expectation that you still write code every week.
A strong engineering background: you can stand up a distributed training job, read a profiler trace, and debug a CUDA OOM without needing help.
Hands-on experience with LLM post-training and/or the infrastructure underneath it, including SFT, RL, LoRA, DPO, or the stack beneath them such as PyTorch distributed, Megatron, DeepSpeed, FSDP, Ray, Slurm, and GPU Kubernetes.
A track record of explaining difficult topics clearly through blog posts, docs, conference talks, OSS READMEs, tutorials, or videos (links are expected).
Distribution you can point to, such as an audience on X, LinkedIn, YouTube, a newsletter, or GitHub, plus talks given, communities where people know your name, or evidence of building reach from zero in ML infrastructure and post-training.
Two-way communication: write content practitioners trust, and also listen to a frustrated infra engineer for an hour and return with the three engineering fixes that matter most.
A taste for substance: you would rather publish one reproducible benchmark than multiple hot takes.
Comfort being the public face of something early, even without a playbook, with messaging that shifts as the product evolves.

Technical stack you will work with

PyTorch distributed, Megatron, FSDP, TorchTitan, Ray, Slurm, Kubernetes on GPUs, Weights & Biases (W&B), MLflow
SFT, RL, LoRA, DPO, DeepSpeed
CUDA OOM, W&B, Nsight, PyTorch Profiler

Location and logistics

Palo Alto, CA (hybrid): 4+ days/week in office, with roughly 20% travel for conferences and customer visits.
Visa sponsorship: H-1B and OPT/CPT support available, with immigration counsel.
Perks: complimentary lunch, dinner, snacks, and drinks.

About the role, in practice

Goaly’s users are ML infra engineers and researchers who operate SFT, RL, and fine-tuning jobs on GPU clusters. They do not read marketing; they read benchmarks, repos, and documentation, and they rely on the engineer behind the artifacts. This role reports to the founders, works daily with engineering and the go-to-market team, and is explicitly founding-stage: you help shape the playbook while keeping output credible to people who train models.

How Goaly works

Mission first: choose work for impact and take responsibility for outcomes.
High agency: identify what is missing, form a plan, and move without waiting for perfect clarity.
Speed with rigor: ship, measure, and iterate while protecting correctness, safety, and reliability.
Flexible scope: cross team boundaries when it is the fastest path to the real problem.
Low ego, high standards: give direct feedback and adjust when evidence changes.
Continuous learning: the stack changes quickly, and you are willing to learn unfamiliar systems and domains.

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1mo ago

Staff iOS Developer Experience Engineer

Salesforce San Francisco, CA

San Francisco, CA

1mo ago Closed

$197k - $345k/yr Full time Ai Developer Tooling Developer Developer Experience

This position is no longer accepting applications (closed Nov 2, 2026).

Job Description

Join Salesforce as a Staff iOS Developer Experience (DevXP) Engineer in San Francisco to help build durable, AI-powered developer tooling for the Slack iOS app. In this role, you will improve iOS development workflows and automated testing while pioneering an agentic software development lifecycle to accelerate delivery quality and stability.

Role Focus

You will develop and evolve developer tooling used by Slack engineering teams to move faster on complex issues. The scope includes next-generation iOS workflows, intelligent automation for testing and pipeline health, and technical leadership across Slack’s iOS codebase.

Responsibilities

Build strong, sustainable, AI-powered developer tooling for the Slack iOS app, used by millions of people daily
Pioneer an agentic software development lifecycle (Agentic SDLC) to help Slack feature engineers address complicated problems more quickly
Create next-generation developer workflows and intelligent agents to make iOS development best-in-class at Slack
Lead other engineers and mentor iOS teams as development becomes increasingly AI-assisted
Set a high bar for technical design and code quality across the team
Demonstrate ownership that extends beyond a single team area to the wider Slack iOS codebase
Debug complex Bazel cache misses and coordinate AI agent auto-triage for broken CI pipelines
Monitor and improve KPIs including CI stability, TimeToMerge, and build-time metrics using intelligent automation to proactively identify and resolve pipeline bottlenecks

Requirements

10+ years of experience building and maintaining complex iOS tooling from CI to CD
Deep expertise with Swift, Bazel, Python, and Xcode tools
Hands-on experience with Agentic SDLC workflows, including using and integrating AI coding agents such as Claude Code, GitHub Copilot Workspace, or custom LLM scripts to automate PR generation, code reviews, and boilerplate refactoring
Ability to monitor and improve KPIs such as CI stability, TimeToMerge, and build time metrics through intelligent automation
Deep familiarity with the Apple ecosystem, CI/CD pipelines, automated testing tools, and scripting (Python/bash/etc.)

Technology Stack

Swift, Bazel, Python, Xcode
Claude Code, GitHub Copilot Workspace, LLM scripts
iOS
CI/CD pipelines, automated testing
Python/bash

Additional Qualifications

Experience using Slack and an interest in improving it
Prior experience in an iOS developer experience role
A related technical degree required

Compensation and Location

Location: San Francisco, CA (onsite)
Salary: USD 197,300 - 344,700 per year

Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.

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1mo ago

Developer Relations Engineer

Box New York, NY

New York, NY

1mo ago Closed

$165k - $207k/yr Full time Ai Developer Tooling Artificial Intelligence Developer

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Box is looking for a Developer Relations Engineer in New York, NY to build developer awareness and engagement for content-driven AI workflows. The focus is turning interest into measurable pipeline by owning developer-facing programs, technical content, and community activities that help AI builders move from curiosity to adoption.

In this onsite role, you will combine technical depth with clear communication, supporting developers through high-quality onboarding materials and hands-on assets like extensions and plugins. You will also translate what you learn in the AI developer ecosystem into weekly insights for Product and GTM.

Role responsibilities

Own the pipeline from ideation to publication for developer-focused outputs including technical blog posts, webinars, demo videos, and case studies, partnering with engineering to ensure technical depth while you own the final output.
Attend and deliver talks at developer and AI engineering conferences, owning the event strategy, building relationships with organizers, and partnering with GTM on lead capture and follow-up.
Build extensions and plugins for popular AI libraries and frameworks, and measure impact.
Engage consistently where AI engineers discuss real problems, then surface insights to Product and GTM weekly and convert community presence into inbound interest.
Identify friction and ship improvements; maintain accountability for documentation quality as a conversion lever.

Required qualifications

A strong motivation to serve developers and support their success.
Prior experience in an engineering or developer relations role.
Enjoyment for creating new apps or experiences enabled by cutting-edge technologies.
Ability to write technical content and to communicate as a public speaker.
Proficiency in either Python or JavaScript.
Active involvement in the AI developer ecosystem, such as open source contributions or AI application development; working knowledge of RAG and AI Agent development.
Experience supporting developer communities, open source projects, or user groups.
An established personal brand and network in the AI developer ecosystem.

Technologies

Python
JavaScript
RAG
AI Agent development

Compensation: USD 165,000 - 206,500 per year.

Location: New York, NY (onsite).

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1mo ago

Senior Staff Software Engineer, Developer Productivity

Asana San Francisco, CA

San Francisco, CA

1mo ago Closed

$324k - $337k/yr Full time Senior Ai Developer Tooling Developer

This position is no longer accepting applications (closed Oct 20, 2026).

Job Description

Lead AI-driven improvements to Asana’s software development lifecycle as a Senior Staff Software Engineer in Developer Productivity.

Responsibilities

Drive developer productivity and AI developer tooling initiatives with impact across 500+ developers at Asana
Collaborate with the Developer Productivity Group Tech Lead to shape technical vision and strategy for 6+ engineering teams, focused on improving engineering velocity
Build and align the roadmap for Asana’s development platform to accelerate feedback loops across the development lifecycle
Improve how every Asana engineer ships through stronger tooling, frameworks, and infrastructure
Own outcomes related to extending internal tooling used to delegate work to agents across harnesses
Mentor senior and staff-level engineers in Developer Productivity and across Foundations and the wider Engineering organization
Serve as a technical resource for team-level tech leads on technical planning, design & architecture, and prioritizing tech debt

Requirements

10+ years experience as a technical contributor on large-scale products
2+ years owning a build system, developer environment, CI, or equivalent at an organization of 200+ engineers
Experience making and delegating technical decisions with org-wide impact
Fluency with current AI developer tooling, plus strong opinions to collaborate with teams and set direction
Passion for coaching and mentoring engineers across experience levels
Strong collaboration skills and a commitment to an inclusive culture where people can contribute fully
Curiosity about AI tools and emerging technologies, with willingness to learn and leverage them for productivity, collaboration, and decision-making

Compensation

USD 323,500 - 336,750 per year

Location

San Francisco, CA (hybrid)

Benefits

Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to match dietary preferences

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1mo ago

Senior Staff Software Engineer, Developer Productivity

Asana New York, NY

New York, NY

1mo ago Closed

$324k - $337k/yr Full time Senior Ai Developer Tooling Software Engineer

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Asana’s Developer Productivity team is hiring a Senior Staff Software Engineer to lead AI-powered improvements to the software development lifecycle and developer velocity.

Responsibilities

Lead critical developer productivity and AI developer tooling initiatives impacting 500+ developers at Asana
Collaborate with the Developer Productivity Group Tech Lead to set technical vision and strategy for 6+ engineering teams, focused on improving velocity across Asana
Own and align on the roadmap for Asana’s development platform, improving feedback loops in the development lifecycle and how every Asana engineer ships
Drive outcomes such as extending internal tooling used by engineers to delegate work to agents across harnesses
Mentor senior and staff-level engineers within Developer Productivity and across Foundations and the broader Engineering organization
Serve as a technical resource for team-level tech leads on longer-term technical planning, design & architecture, and prioritizing tech debt

Requirements

10+ years of experience as a technical contributor in large-scale products
2+ years owning a build system, developer environment, CI, or equivalent at an organization of 200+ engineers
Experience making and delegating technical decisions with org-wide impact
Fluency in current AI developer tooling with strong enough opinions to collaborate with teams and set direction
Commitment to coaching and mentoring engineers at all experience levels
Strong focus on collaboration and building an inclusive culture where people can bring their full selves to work and thrive
Curiosity about AI tools and emerging technologies, with willingness to learn and apply them to improve productivity, collaboration, or decision-making

What you’ll achieve

Deliver developer productivity and AI tooling projects that impact 500+ developers
Partner with the Developer Productivity Group Tech Lead to define technical vision for 6+ engineering teams with the goal of improving Asana engineer velocity
Execute on a development platform roadmap that accelerates development lifecycle feedback loops
Extend internal tooling to enable engineers to delegate work to agents across harnesses
Mentor senior and staff engineers across Developer Productivity and Foundations and the broader Engineering organization
Support team-level tech leads with longer-term planning, design & architecture, and tech debt prioritization

Compensation & location

Location: New York, NY (hybrid)
Estimated base salary range: USD 323,500 - 336,750 per year
Salary note: Actual base salary varies based on market and individual qualifications assessed during the interview process
Additional compensation: Compensation package may include additional components such as equity; sales incentive pay for most sales roles; and benefits

Benefits

Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences

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Ai Developer Tooling Engineer Jobs

Founding Developer Relations Engineer

Staff iOS Developer Experience Engineer

Developer Relations Engineer

Senior Staff Software Engineer, Developer Productivity

Senior Staff Software Engineer, Developer Productivity

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