Staff-AI-Software-Engineer, Staff-AI-Engineer, Staff-Applied-AI-Engineer Jobs

About the Role

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

As Staff Software Engineer, AI Email App, you own the engineering layer that turns AI capability into a reliable product. You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers.

This is a hands-on leadership role. You stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales.

What You'll Own

• Own the application engineering strategy and execution across backend, mobile, and desktop.

• Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling.

• Build the APIs and abstractions that connect AI systems to real-world product experiences.

• Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship.

• Make high-impact trade-offs across latency, reliability, cost, security, and user experience.

• Establish strong production foundations: observability, monitoring, testing, and operational excellence.

• Partner closely with ML leadership to turn model capabilities into robust, shippable product experiences.

• Move quickly while keeping the architecture simple, maintainable, and ready to scale.

What We're Looking For

• Significant experience leading application or product engineering for complex systems.

• Strong hands-on background building and shipping backend systems used in production.

• Experience building AI-powered products or systems that integrate with modern ML/LLM capabilities.

• Strong technical judgment and the ability to make decisions with incomplete information.

• Comfortable working across backend and client platforms, with deep expertise in at least one.

• A strong bias toward ownership, shipping, and learning from real-world usage.

• High standards for code quality, reliability, and engineering fundamentals.

Outcomes

• Production systems are observable, monitored, and stable under real-world load.

• Decisions consistently balance speed, cost, reliability, and user experience.

• Features across backend, mobile, and desktop work smoothly and reliably.

• Latency and reliability improve measurably over time.

How We Work

We are a small, high-talent-density, hands-on team. Engineers have broad ownership and are expected to exercise strong judgment and execute independently.

We make decisions quickly, work closely together, and balance speed with engineering fundamentals. We care less about process and more about building something exceptional.

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Originally posted on Himalayas

Staff Software Engineer (AI Evals)

Contract | $100–$200/hour | 20-40 hrs/week | Start ASAP

We’re looking for highly experienced software engineer to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code.

This is not a traditional engineering role.

You won’t be writing production code.

You’ll be evaluating something harder: whether the model thinks like a great engineer.

What This Role Actually Is

You will assess how AI coding agents behave in real-world scenarios — focusing on:

• Whether the response makes sense

• Whether the preamble and reasoning are useful

• Whether the output reflects strong engineering judgment

• Whether the interaction feels right to an experienced developer

This role is about engineering taste — not syntax correctness.

What You’ll Be Doing

• Evaluate AI-generated coding interactions end-to-end

• Judge whether outputs are:

  • Useful

  • Correct (at a high level)

  • Aligned with how a strong engineer would think

• Assess the quality of explanations and reasoning, not just code

• Distinguish between different levels of response quality (e.g. what makes something a 2 vs 4)

• Provide clear, opinionated feedback on:

  • What worked

  • What didn’t

  • What felt “off” or misleading

• Help define what great looks like when interacting with tools like Cursor

What We Mean by “Taste”

We’re specifically looking for engineers who can answer questions like:

• Does this feel like something a strong engineer would actually say?

• Is this explanation helpful, or just technically correct?

• Is the model guiding the user well, or just dumping output?

• Would this interaction build or erode trust?

You should be comfortable making subjective but rigorous judgments.

Who You Are

• Staff / Principal-level engineer (or equivalent experience)

• Strong background in one of the below:

  • Go

  • Python

  • Rust

  • TypeScript / JavaScript

• Hands-on experience using:

  • OpenAI Codex

  • Claude Code

  • Cursor

• Deep familiarity with modern AI-assisted dev workflows

• Able to evaluate code without needing to fully execute or deeply review every line

• Comfortable giving direct, opinionated feedback

• High bar for what “good engineering” looks like

Nice to Have

• Experience with tools like Cursor or similar AI-first IDEs

• Prior exposure to prompt design or evaluation workflows

• Experience mentoring senior engineers or defining engineering standards

Engagement Details

• Rate: $100–$200/hour

• Hours: ~20 hours+

• Duration: Through October w/possible extentions

• Start: ASAP

• Process:

  • Take-home evaluation exercise

  • Background Check

  • Offer

Originally posted on Himalayas