software engineer

software engineer, frontend Jobs in San Francisco

software engineer, frontend

ai engineering lead Jobs in San Francisco

ai engineering lead

ai research engineer Jobs in San Francisco

ai research engineer

applied ai engineer, product & gtm Jobs in San Francisco

applied ai engineer, product & gtm

associate software engineer rle

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring an
 
 Associate Software Engineer
 
 to help build our Reinforcement Learning Environments (RLE) platform&mdash;the systems where frontier AI models learn to complete real-world work.
 
 
 This is a hands-on, growth-oriented role where you&rsquo;ll contribute to building core systems, learn quickly from senior engineers, and gain exposure to cutting-edge AI infrastructure.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Contribute to building RLE environments and supporting infrastructure
 </li>
 <li>
 Implement features across backend systems and frontend interfaces
 </li>
 <li>
 Work with senior engineers to improve system reliability and performance
 </li>
 <li>
 Help build modular workflow domains (e.g., engineering, finance, legal)
 </li>
 <li>
 Support data pipelines that power model training and evaluation
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 0&ndash;2 years of experience (internships or full-time) in software engineering
 </li>
 <li>
 Familiarity with backend development and APIs
 </li>
 <li>
 Working knowledge of ReactJS and TypeScript
 </li>
 <li>
 Understanding of databases (e.g., PostgreSQL) and basic system design
 </li>
 <li>
 Eagerness to learn and operate in fast-paced environments
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to cloud platforms (AWS, GCP)
 </li>
 <li>
 Experience with data pipelines or ML-adjacent systems
 </li>
 <li>
 Interest in AI/ML or simulation systems
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Ships reliable features that improve RLE functionality
 </li>
 <li>
 Grows into owning small components independently
 </li>
 <li>
 Contributes to faster iteration and better developer velocity
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯 Ownership: Equity in a fast-growing company
 
 
 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
 
 
 🍼 Family Support: Paid parental leave, fertility benefits, parental coachin
 
 
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚 Growth: $2,000 learning stipend, ongoing development
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $135K - $150K
 
 
</div>

Associate Software Engineer, RLE

<div>About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Software Engineer to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
Location: San Francisco, CA (in-office, 5 days/week)<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build and scale core components of RLE environments and infrastructure</li><li>
Design and implement backend systems and data pipelines</li><li>
Translate ambiguous product and research needs into production systems</li><li>
Develop modular, reusable workflow domains</li><li>
Improve reliability, observability, and system performance</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4-6 years of experience in backend, distributed systems, or ML-adjacent infrastructure</li><li>
Strong proficiency in ReactJS and TypeScript</li><li>
Solid experience with relational databases (PostgreSQL) and data modeling</li><li>
Experience with cloud infrastructure (AWS/GCP) and CI/CD</li><li>
Ability to independently drive projects from design to production</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with simulation systems or evaluation platforms</li><li>
Exposure to ML systems or working with research teams</li><li>
Experience in fast-moving, operations-heavy environments</li></ul><h2 class="jobSectionHeader">
What Success Looks Like</h2><ul><li>
Owns and delivers key RLE components end-to-end</li><li>
Improves system scalability and developer velocity</li><li>
Enables faster launch of new domains with high-quality data</li></ul><h2 class="jobSectionHeader">
Perks</h2>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
The below benefits are for full-time US employees.
Ownership: Equity in a fast-growing company
Financial Wellness: 401(k) match, competitive compensation, financial coaching
Family Support: Paid parental leave, fertility benefits, parental coaching
Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
Growth: $2,000 learning stipend, ongoing development
Office: Commuting support, free lunch, and gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Compensation Range: $189K - $210K</div>

Software Engineer II, RLE

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Software Engineer
 
 to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
 
 
 This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and scale core components of RLE environments and infrastructure
 </li>
 <li>
 Design and implement backend systems and data pipelines
 </li>
 <li>
 Translate ambiguous product and research needs into production systems
 </li>
 <li>
 Develop modular, reusable workflow domains
 </li>
 <li>
 Improve reliability, observability, and system performance
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 2&ndash;4 years of experience in backend, distributed systems, or ML-adjacent infrastructure
 </li>
 <li>
 Strong proficiency in ReactJS and TypeScript
 </li>
 <li>
 Solid experience with relational databases (PostgreSQL) and data modeling
 </li>
 <li>
 Experience with cloud infrastructure (AWS/GCP) and CI/CD
 </li>
 <li>
 Ability to independently drive projects from design to production
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with simulation systems or evaluation platforms
 </li>
 <li>
 Exposure to ML systems or working with research teams
 </li>
 <li>
 Experience in fast-moving, operations-heavy environments
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Owns and delivers key RLE components end-to-end
 </li>
 <li>
 Improves system scalability and developer velocity
 </li>
 <li>
 Enables faster launch of new domains with high-quality data
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯 Ownership: Equity in a fast-growing company
 
 
 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
 
 
 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching
 
 
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚 Growth: $2,000 learning stipend, ongoing development
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $157.5K - $175K
 
 
</div>

Software Engineer I, RLE

Wonderschool

<div>
 
 About Wonderschool
 
 
 
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 
 
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 
 
 
 Role Overview
 
 
 
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
 </li>
 <li>
 Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
 </li>
 <li>
 Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
 </li>
 <li>
 Debug and troubleshoot technical issues to ensure platform stability.
 </li>
 <li>
 Stay current with emerging technologies and best practices in software engineering and AI.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
 </li>
 <li>
 Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Basic understanding of cloud platforms like Google Cloud Platform and AWS.
 </li>
 <li>
 Excellent communication skills and ability to work in a collaborative, in-person environment.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
 </li>
 <li>
 Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
 </li>
 <li>
 Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
 </li>
 <li>
 Health Benefits: 100% coverage for employee premiums and 80% for dependents.
 </li>
 <li>
 Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
 </li>
 <li>
 Parental Leave: Competitive policies eligible after six months of employment.
 </li>
 <li>
 Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
 
 
 </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 
 
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 
 
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>

Early Career Software Engineer – Applied AI

Fractional AI

<div><h2 class="jobSectionHeader">About Fractional AI</h2>
How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?
Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences.
We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe.
We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai.<h2 class="jobSectionHeader">
The Role</h2>
This role is designed for strong software engineers who want to ship AI products end-to-end across a range of domains, with meaningful ownership from day one.
You'll work on a small, high-caliber team (2&ndash;5 engineers and a PM) building AI products for our clients, from requirements gathering and prototyping through system design, development, testing, and deployment. You&rsquo;ll own features end-to-end, and develop domain expertise across a range of AI use cases.
You'll spend most of your time in code, with meaningful client exposure &ndash; frequently interacting with the client&rsquo;s team to make sure what we're building meets their needs.
Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.<h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
Experience consistently shipping high visibility or high impact software, with deep care for the craft. We strongly prefer candidates with 4+ years of experience, although we understand it&rsquo;s only one proxy for impact. Exceptional signals elsewhere (AI evangelism, OSS contributions, founder experience) can substitute.</li><li>
Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.</li><li>
Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.</li><li>
High ownership mindset. You jump in without instruction, embrace a &quot;no job too big, no job too small&quot; mindset, and want to shape strategy and culture.</li><li>
Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty&ndash;with yourself and your team.</li></ul><h2 class="jobSectionHeader">
Our Engineering Philosophy</h2>
We're opinionated about what works in production, and we write about it &mdash; from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact.
We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.
After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.<h2 class="jobSectionHeader">
How Fractional Is Different</h2>
A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product &mdash; but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it &mdash; we recommend using the interview process to hear what our engineers think.<h2 class="jobSectionHeader">
Our Values</h2><ul><li>
Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world&rsquo;s best applied AI team.</li><li>
Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.</li><li>
Over &quot;engineer&quot; the culture: For every big decision, we ask &ldquo;would this make Fractional a better or worse place for our team?&rdquo;</li></ul>
Location
San Francisco, CA
Work Arrangement: 4 days in-person, Fridays remote<h1 class="jobSectionHeader">
Benefits</h1><ul><li>
Competitive Compensation Package: Attractive salary aligned with your experience and skills.</li><li>
401k with Matching: Invest in your future with our company-matched retirement plan.</li><li>
Unlimited PTO: Take the time you need to relax and rejuvenate.</li><li>
Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.</li><li>
Health FSA: Manage out-of-pocket health expenses effectively.</li><li>
Commuter Benefits: Make your travel to work easier and more affordable.</li><li>
Life Insurance: Providing peace of mind for you and your loved ones.</li><li>
Team Events and Activities: Regular events to build camaraderie and a strong team spirit.</li></ul><h1 class="jobSectionHeader">
Ready to join us?</h1>
Compensation Range: $160K - $220K</div>

Software Engineer (SF)

Hex Technologies

SF, NYC, or Remote (USA)
 About the role
 
We are looking for an experienced Cloud Security Engineer to join Hex’s security team. You will be responsible for ensuring the security and resilience of our cloud infrastructure, providing leadership in cloud security practices, and collaborating closely with our infrastructure and engineering teams to secure our cloud-native applications.
 
About the role: 
Design, implement, and manage security solutions and controls for AWS environments and Kubernetes clusters, including appropriate isolation/sandboxing methods for Hex’s RCE-as-a-Service platform
 Build, deploy, and maintain infrastructure-as-code using Terraform, ensuring robust security standards are enforced.
 Conduct security assessments, threat modeling, and audits on AWS cloud infrastructure and Kubernetes deployments.
 Collaborate with development and operations teams to embed security best practices into CI/CD pipelines.
 Monitor and respond to cloud security incidents, identifying root causes and recommending remediation actions.
 Provide expertise in compliance requirements related to cloud security (e.g., SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS).
 Mentor engineers and advocate for cloud security across the organization.
 
About you: 
5+ years of experience in cloud security engineering, with extensive expertise in AWS.
 Demonstrated proficiency with Kubernetes security including cluster hardening, role-based access control (RBAC), network policies, and container vulnerability management.
 Expert-level knowledge and hands-on experience with Terraform.
 Familiarity with AWS security services (e.g., IAM, GuardDuty, Security Hub, CloudTrail, WAF).
 Familiarity with CNAPP solutions such as Wiz
 Familiarity with SIEM solutions such as Panther
 Solid understanding of secure software development lifecycle practices, CI/CD security, and DevSecOps methodologies.
 Relevant certifications such as AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), and Terraform Associate certification are highly desirable.
 Bonus points for security certifications from SANS or OffSec.
 Excellent problem-solving, communication, and leadership skills.
 Our Engineering team
 
We’re a group of engineers who are forging new ground together and love partnering with Security on our journey to pull ahead of our competition. You can read about how we think through problems as well as how we learn from mistakes on our blog here:
 
How we took down production…
 Beyond Linear Notebooks
 A pragmatic approach to live collaboration
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $200,000 - $265,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

Cloud Security Engineer

PRAVAH

<div>About Pravāh
Pravāh is building foundational intelligence for the electric grid. We are a team of researchers and engineers who met at Stanford. We use machine learning to help electric utilities make real-time decisions on grid planning and operations to reduce blackout risks and reduce volatility caused by extreme events.
We are backed by Khosla Ventures, Pear VC, and Conviction.
To know more about who we are, what we are building, and why we are excited read this Notion! https://pravah.notion.site/ 
The Role
We do not have a predefined job description for this posting, and that is intentional.
If you have come across what we are building and thought &quot;I know exactly how I could contribute, but I do not see a role for it,&quot; this is for you. We are open to exceptional people across machine learning, software engineering, power systems, weather, business development, operations, and domains we have not even thought of yet.
We are a small team solving genuinely hard problems at the frontier of AI and physical infrastructure. The right person for this role will come in with a point of view: a clear sense of what they are great at, where they see a gap at Pravāh, and how they would fill it. We will figure out the rest together. 
What You Might Work On
This depends entirely on you and what you bring. Past examples of roles candidates have proposed, or that we could imagine:<ul><li>
A machine learning researcher who wants to define a new modeling direction in GNNs, RL, or computer vision</li><li>
A power systems engineer who wants to bridge grid physics and our AI stack</li><li>
A forward deployed engineer who understands utility operations and wants to own technical deployments end-to-end</li><li>
A founding engineer who wants to own our product deployment</li><li>
A weather scientist who sees an opportunity to push the frontier of AI-weather prediction for grid applications</li><li>
A GTM or BD specialist who knows the utility landscape and wants to build our commercial motion 
</li></ul> 
What we always look for<ul><li>
High agency and a bias for action. You build, fix, and ship. You do not wait for perfect conditions or a detailed playbook.</li><li>
Full ownership from Day 1. You thrive in ambiguity, reason from first principles, and take problems end-to-end.</li><li>
High standards. We are building the core decision engine for the modern grid, not optimising for a local maximum. We want people who think the same way.</li><li>
Easy to work with. We hugely value people who are relaxed and friendly while also being intense and absolute hustlers. Our lives are crazy and only getting crazier, in the best way possible.</li><li>
Strategic thinking. How do we accomplish 10x what we are doing today? We want people who hold the long-term roadmap and the short-term execution in their heads at the same time.</li></ul>
What You Will Gain<ul><li>
The chance to work on hard, open-ended problems at the intersection of AI and physical infrastructure.</li><li>
Ability to shape technical direction at a company that is early enough for your ideas to genuinely change the trajectory.</li><li>
Close collaboration with a deeply technical and motivated founding team.</li></ul>
Compensation Range: $150K - $250K</div>

Pitch us a Role

Explore 193+ Associate software engineer rle in San Francisco this May. Find roles across top companies and apply now to boost your career.