AI Jobs

Benefits:

• Offers Equity

• Bonus

Experience Requirements:

• Expert-level ability to debug Kubernetes internals

• Operate stateful workflow engines (Temporal) at scale

• Proven track record as a primary first responder

• Experience architecting Datadog SLOs

• Strong proficiency in Python or Bash

Other Requirements:

• Experience scaling GPU/video rendering workloads (preferred)

• Experience with Terraform

• Experience with Milvus and Postgres

Responsibilities:

• Architect high-throughput, isolated processing clusters

• Drive general improvements in production Kubernetes environments

• Overhaul Datadog observability suite to reduce Time-to-Detect

• Serve as the first line of defense during outages

• Lead the post-mortem process to determine Root Cause

Benefits:

• Offers Equity

• Bonus

Education Requirements:

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

Experience Requirements:

• 3–6+ years of experience as a Full Stack Engineer

• Strong frontend ownership

• Deep experience with modern frontend frameworks (React, Next.js)

• Solid backend experience (Node.js, Python, or similar)

• Experience with building AI agents (preferred)

Other Requirements:

• Typescript expertise

• Web State Management Skills (jotai, redux, etc.)

• Hacker spirit

• Open to periodic evening meetings

Responsibilities:

• Build next generation smart AI video maker

• Work closely with product and marketing to rush prototypes

• Solve agent reliability problems using creative methods

• Define your own work within a team environment

• Hacking with CTO on Sundays

Benefits:

• Competitive equity (ISOs)

• Performance-based bonus

Experience Requirements:

• 3+ years shipping production-grade software

• Experience with video infrastructure (preferred)

• Experience with vector databases or high-volume data pipelines (preferred)

Other Requirements:

• Technically versatile (React, Node.js, Python)

• AI-Native Mindset

• Knowledge of GCP, Redis, MongoDB

• Comfortable troubleshooting complex network/server issues

Responsibilities:

• Rapidly ship prototypes and production releases of AI curation improvements

• Co-innovate with social media creators to validate product initiatives

• Transform research artifacts into scalable services

• Design and ship the dashboard connecting video content to ROI

• Implement semantic search using high-dimensional vector databases

Benefits:

• Competitive equity packages (ISOs)

• Comprehensive medical, vision, and dental coverage

• Flexible paid time off

• Equipment, software, and office furniture budget

• Free lunch and dinner

Experience Requirements:

• Expert-level ability to debug Kubernetes internals

• Operate stateful workflow engines (Temporal) at scale

• Proven track record as a primary first responder

• Experience architecting Datadog SLOs

• Strong proficiency in Python or Bash

Other Requirements:

• Experience scaling GPU/video rendering workloads (preferred)

• Knowledge of Terraform

• Familiarity with Milvus and Postgres

Responsibilities:

• Architect high-throughput, isolated processing clusters

• Operationalize scaling strategies for Temporal and Kubernetes

• Overhaul Datadog observability suite to reduce TTD

• Serve as the first line of defense during outages

• Lead the post-mortem process to determine Root Cause

Benefits:

• Offers Equity

• Bonus

Education Requirements:

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

Experience Requirements:

• 5-8 years of experience in software engineering

• A strong entrepreneurial or hacker spirit

• Experience in a rapidly growing startup

• Experience building AI agents (preferred)

Other Requirements:

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

• Fast learner and self-starter

• Product and business sense

• Open to periodic evening meetings

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 within a team environment

• Partner with senior engineers across Asia time zone

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