AI Jobs

Benefits:

• Offers Equity

• Bonus

Education Requirements:

• Bachelor's degree or higher in Computer Science or a related field

Experience Requirements:

• 0-5 years of experience in software engineering

• Strong entrepreneurial or hacker spirit

• Experience in building AI agents (preferred)

Other Requirements:

• Full-stack skills (React, NodeJS, Django)

• Fast learner

• Growth mindset

• Willingness to hack with CTO on Sundays

Responsibilities:

• Build next generation smart AI video maker using agent technology

• Work closely with product and marketing to rush prototypes

• Solve agent reliability problems using creative methods

• Define your own work scope

• Work on-site in Palo Alto office

Benefits:

• Reward package including equity

• 18 weeks paid parental leave

• Annual Vibe & Thrive allowance

• Flexible leave options

• Professional development support

Experience Requirements:

• Strong Python engineering skills

• Familiarity with ML workflows

• Experience with PyTorch or TensorFlow

• Understanding of model training or fine-tuning

• Interest in improving inference performance

Other Requirements:

• Clear, thoughtful communication

• Curious and comfortable learning in unfamiliar technical areas

Responsibilities:

• Collaborate with research scientists to adapt models

• Run experiments and evaluate model outputs

• Contribute to performance improvements

• Build and maintain training and inference pipelines

• Work with GPU environments on AWS and Kubernetes

Benefits:

• Reward package including equity

• 18 weeks paid parental leave

• Annual Vibe & Thrive allowance

• Flexible leave options

• Professional development support

Experience Requirements:

• Strong Python engineering skills

• Familiarity with ML workflows

• Experience with PyTorch or TensorFlow

• Understanding of model training or fine-tuning

• Interest in improving inference performance

Other Requirements:

• Clear, thoughtful communication

• Curious and comfortable learning in unfamiliar technical areas

Responsibilities:

• Collaborate with research scientists to adapt models

• Run experiments and evaluate model outputs

• Contribute to performance improvements

• Build and maintain training and inference pipelines

• Work with GPU environments on AWS and Kubernetes

Benefits:

• Reward package including equity

• 18 weeks paid parental leave

• Annual Vibe & Thrive allowance

• Flexible leave options

• Professional development support

Experience Requirements:

• Experience working with AWS services

• Practical experience using Terraform

• Familiarity with building CI/CD pipelines

• Understanding of Linux and containerisation

• Experience with cloud networking fundamentals

Other Requirements:

• Clear and thoughtful communicator

• Collaborative teammate

• Curious and adaptable

Responsibilities:

• Build and Scale Infrastructure

• Support GPU Optimisation

• Improve CI/CD Pipelines

• Strengthen Observability

• Contribute to Integration Projects

Benefits:

• Reward package including equity

• 18 weeks paid parental leave

• Annual Vibe & Thrive allowance

• Flexible leave options

• Professional development support

Experience Requirements:

• Experience working with AWS services

• Practical experience using Terraform

• Familiarity with building CI/CD pipelines

• Understanding of Linux and containerisation

• Experience with cloud networking fundamentals

Other Requirements:

• Clear and thoughtful communicator

• Collaborative teammate

• Curious and adaptable

Responsibilities:

• Build and Scale Infrastructure

• Support GPU Optimisation

• Improve CI/CD Pipelines

• Strengthen Observability

• Contribute to Integration Projects

Benefits:

• Reward package including equity

• 18 weeks paid parental leave

• Annual Vibe & Thrive allowance

• Flexible leave options

• Professional development support

Experience Requirements:

• Experience building backend systems with Node.js and TypeScript

• Designing scalable APIs (REST or GraphQL)

• Exposure to NestJS or similar frameworks

• Experience working with PostgreSQL

• Familiarity with cloud environments

Other Requirements:

• Great communication skills

• Collaborative mindset

• Mentoring spirit

Responsibilities:

• Design and develop scalable backend systems

• Support real-time generation features

• Collaborate with engineers and designers

• Mentor junior engineers

• Contribute to systems thinking

Benefits:

• Medical Insurance

• Pension

• Flexi-working

• Share Options

Experience Requirements:

• Senior level experience

• Proficiency in Python or expert in another language

• Experience of testing, committing and deploying good code

Other Requirements:

• Take pride in producing great work

• Be approachable and enjoy helping others

• Passion for complex problem solving

• Objective about collaborative design

Responsibilities:

• Lean/experimental approach to iterative feature development

• Developing features from weekly task reviews

• User facing feature creation

• Architecture and infrastructure management

• Assisting team members

Education Requirements:

• Degree in a STEM field or equivalent hands-on experience

Experience Requirements:

• 3+ years as a software engineer or technical consultant with strong coding proficiency

Other Requirements:

• Proficiency in Python, JavaScript/TypeScript, or similar

• Strong customer-service orientation

• Excellent verbal and written communication skills

Responsibilities:

• Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)

• Guide customers through installing, configuring, and optimizing Devin and associated tools

• Pair-program with engineers at varying experience levels to build, debug, and automate real projects

• Identify high-ROI workflows for Devin across engineering, QA, support, data, and product teams

• Create enablement materials, best practices, and shared playbooks based on customer learnings

Experience Requirements:

• Track record of pursuing excellence at high levels, in any domain

• Experience scoping and shipping features in collaboration with product and engineering teams

Other Requirements:

• Strong engineering foundation

• Proficiency in Python, TypeScript, or similar

• Comfort operating across many contexts simultaneously

• Experience with enterprise infrastructure (cloud deployments, networking, security)

Responsibilities:

• Operate across strategic accounts, providing technical depth on complex engagements

• Own the technical direction and success of customer accounts and deployments

• Translate customer pain points into product direction: scope requirements, define solutions, and drive implementation

• Build product extensions and integrations using Cognition’s APIs and platform primitives

• Architect and maintain complex enterprise deployments

Experience Requirements:

• Experience working within the government or working in a government focused company

• Track record of pursuing excellence at high levels, in any domain

• Experience scoping and shipping features in collaboration with product and engineering teams

Other Requirements:

• Strong engineering foundation

• Proficiency in Python, TypeScript, or similar

• Experience with enterprise infrastructure (cloud deployments, networking, security)

Responsibilities:

• Operate across strategic accounts, providing technical depth on complex engagements

• Own the technical direction and success of customer accounts and deployments

• Translate customer pain points into product direction

• Be the connective link between Federal GTM team and core product engineering teams

• Build product extensions and integrations using Cognition’s APIs and platform primitives

Experience Requirements:

• Track record of pursuing excellence at high levels, in any domain

• Experience scoping and shipping features in collaboration with product and engineering teams

Other Requirements:

• Strong engineering foundation

• Proficiency in Python, TypeScript, or similar

• Experience with enterprise infrastructure (cloud deployments, networking, security)

Responsibilities:

• Operate across strategic accounts, providing technical depth on complex engagements

• Own the technical direction and success of customer accounts and deployments

• Translate customer pain points into product direction

• Build product extensions and integrations using Cognition’s APIs and platform primitives

• Architect and maintain complex enterprise deployments

Experience Requirements:

• Strong engineering foundation from a rigorous technical environment

• Demonstrated track record of exceptional performance

• Experience writing and debugging real software systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

• High tolerance for ambiguity, intensity, and sustained effort

Responsibilities:

• Own all technical aspects of the customer lifecycle—from deployment through activation

• Work closely with customers to understand technical challenges and identify best use cases for Devin

• Build deep relationships with customers’ engineering teams to ensure smooth product integration

• Listen to customer feedback and implement requested features yourself

• Exercise product instincts to help set the roadmap

Experience Requirements:

• Strong engineering foundation from a rigorous technical environment

• Demonstrated track record of exceptional performance

• Experience writing and debugging real software systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

Responsibilities:

• Own all technical aspects of the customer lifecycle—from deployment through activation

• Work closely with customers to understand technical challenges

• Build deep relationships with customers’ engineering teams

• Implement requested features based on customer feedback

• Exercise product instincts to help set the roadmap

Education Requirements:

• Degree in STEM field

Experience Requirements:

• Experience working with or alongside large engineering teams (enterprise or services environments preferred)

• Demonstrated track record of exceptional performance

• Experience writing, debugging, and deploying real production systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills for engaging with senior partner leaders

• Experience with SI / GSI delivery models

Responsibilities:

• Own the technical success of GSI partners across onboarding, enablement, and scaled delivery

• Work directly with partner engineering and architecture teams to understand delivery models

• Enable partners to build repeatable solutions, accelerators, and reference architectures

• Lead technical trainings, workshops, and deep dives for partner teams

• Support partner-led customer pilots and early production deployments

Education Requirements:

• Degree in STEM field

Experience Requirements:

• Experience working with or alongside large engineering teams

• Experience writing, debugging, and deploying real production systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

Responsibilities:

• Own the technical success of GSI partners across onboarding, enablement, and scaled delivery

• Enable partners to build repeatable solutions and reference architectures

• Lead technical trainings and workshops for partner teams

• Support partner-led customer pilots and early production deployments

• Capture field learnings and partner feedback to influence product roadmap

Education Requirements:

• Degree in STEM field

Experience Requirements:

• Experience working with or alongside large engineering teams

• Experience writing, debugging, and deploying real production systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

Responsibilities:

• Own the technical success of GSI partners across onboarding, enablement, and scaled delivery

• Enable partners to build repeatable solutions and reference architectures

• Lead technical trainings and workshops for partner teams

• Support partner-led customer pilots and early production deployments

• Capture field learnings and partner feedback to influence product roadmap

Education Requirements:

• Degree in STEM field

Experience Requirements:

• Experience working with or alongside large engineering teams

• Experience writing, debugging, and deploying real production systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

Responsibilities:

• Own the technical success of GSI partners across onboarding, enablement, and scaled delivery

• Enable partners to build repeatable solutions and reference architectures

• Lead technical trainings and workshops for partner teams

• Support partner-led customer pilots and early production deployments

• Capture field learnings and partner feedback to influence product roadmap

Benefits:

• Minimum 1% equity grant

• High-impact decision making autonomy

• Immersion in agentic AI development

• Seat in a startup with multi-billion dollar TAM

Education Requirements:

• Undergrad degree in CS

Experience Requirements:

• 1 year of work experience required (no new grads)

• Previous experience calling LLM APIs or building agentic apps

Other Requirements:

• Able to work 5 days a week in San Francisco

• Solid CS fundamentals

• Proficiency in Python (Flask), React, and SQL (Postgres)

• Interest in joining as one of the first employees

• Ability to code without excessive AI assistance

Responsibilities:

• Shipping across the entire stack (backend, frontend, database)

• Developing AI and agentic features

• Managing infrastructure and tooling

• Implementing LLM-prompting systems

• Communicating with non-technical userbase

Benefits:

• Minimum 1% equity grant

• Work on Agentic AI instead of SaaS 1.0

• High-speed technical environment

• Redefining the future of work

Experience Requirements:

• 2-5 years work experience in a production capacity

• Experience with infrastructure ready to scale

• Production experience in Python, React, and SQL

Other Requirements:

• Willing to work 5 days a week in-person

• Comfortable with 60+ hour weeks

• Interest in joining as a founding engineer

• Strong Python skills (Flask, FastAPI, or Django)

Responsibilities:

• Laying backend, infrastructure, and integrations for scaling

• Solving SaaS integration problems

• Building AI agent infrastructure

• Managing user-facing requests

• Working across the full stack including frontend

Experience Requirements:

• Experience writing production-quality code, scripts, or internal tools

• Hands-on experience with APIs, integrations, and data flows

• Strong debugging skills across multiple systems

• Experience working directly with customers or users

• Experience in early-stage or fast-moving environments

Other Requirements:

• Strong technical foundation

• Empathy for users

• Bias toward building scalable solutions

• Experience with CRMs like HubSpot or Salesforce

• Interest in shaping product direction

Responsibilities:

• Partner with Sales to validate technical requirements

• Surface patterns from customer work to Product and Engineering

• Triage and resolve complex customer issues

• Support customer data and workflow transitions

• Handle bespoke customer data requests