AI Jobs

Benefits:

• Health insurance with international coverage

• Free access to proper mental health care

• Life and Disability Insurance

• Flexible time off

• Meaningful equity

Experience Requirements:

• Proficient with modern full-stack JavaScript (Node.js and React)

• Proficient with relational databases (PostgreSQL)

• Enthusiastic about well-tested code

• Excellent written and spoken English skills

Other Requirements:

• Next.js, NestJS, GraphQL, and/or TypeScript experience

• Experience with AWS and/or Kubernetes

• Interested in UX, UI design, and the research field

Responsibilities:

• Building elegant features for user researchers using classical techniques and LLMs

• Expanding audience management to connect with and reward participants

• Integrating video and scheduling tools for user interviews

• Partnering with product managers and designers to ship new features

• Establishing best practices to measure the impact of features

Benefits:

• Health insurance with international coverage

• Free access to proper mental health care

• Life and Disability Insurance

• Flexible time off

• Meaningful equity

Experience Requirements:

• 8+ years of software engineering experience

• 4+ years leading teams focused on infrastructure, platform or security

• Track record of improving system reliability and security in SaaS

• Experience with cloud infrastructure (AWS, GCP, or similar)

• Experience leading or partnering on cybersecurity initiatives

Other Requirements:

• Experience with Kubernetes, Terraform, or cloud-native security tooling

• Experience with modern JavaScript (Node.js/TypeScript)

Responsibilities:

• Leading and growing Infrastructure and Security teams (3–6 engineers)

• Owning reliability, observability, performance, and security of cloud infrastructure

• Designing internal tooling and CI/CD pipelines

• Preparing infrastructure foundations to support AI/ML workloads at scale

• Supporting engineers through coaching and mentorship

Benefits:

• Shape Kleio’s product and culture

• Founding team member

• Direct impact on company success

Education Requirements:

• Degree in Computer Science, Math, or a related field

Experience Requirements:

• 5+ years of professional software development or implementation experience

• Experience with typed languages (TypeScript, Python, Java, etc.)

Other Requirements:

• Excellent communication skills in English

• Interest in Generative AI and familiarity with concepts such as RAG

• Experience integrating enterprise systems (CRM, ERP, CPQ)

• Familiarity with Agile development

Responsibilities:

• Collaborate directly with clients to translate requirements into technical solutions

• Integrate Kleio’s platform with client data and systems

• Configure and adapt the user interface to match client requirements

• Design and develop custom features and build data pipelines

• Lead technical design discussions spanning application architecture

Benefits:

• Build AI-powered applications that redefine user interactions

• Work at the intersection of conversational AI, UI/UX, and enterprise software

• Join a fast-growing team with a strong vision

• Take ownership of key projects

• Contribute to high-impact engineering decisions

Education Requirements:

• Degree in Computer Science, Mathematics, or a related field

Experience Requirements:

• 3+ years of professional full-stack development experience

Other Requirements:

• Strong hands-on experience with front-end frameworks

• Svelte experience is a plus

• Excellent communication skills in English

• Interest in Generative AI and experience integrating LLM APIs

• Familiarity with Agile development methodologies

Responsibilities:

• Design and develop user-facing applications that enhance AI interactions

• Build integrations with third-party platforms (e.g., CMS, CRM)

• Contribute to cross-team technical discussions on architecture and UI/UX

• Engage directly with customers to demonstrate Kleio’s capabilities

• Help grow a high-performing, diverse engineering team

Benefits:

• Founding member shaping company culture

• Shaping the future of digital conversations

• Work in a highly collaborative environment

Education Requirements:

• Degree in Computer Science, Math, or a similar quantitative field

Experience Requirements:

• 5+ years of professional software development experience

Other Requirements:

• Experience with typed languages (TypeScript, Python + Pydantic, Java, etc.)

• Strong understanding of data structures, algorithms, and DRY code

• Excellent verbal and written communication skills in English

• Demonstrated interest in Generative AI technology (e.g., RAG)

• Practice of Agile development methodology

Responsibilities:

• Design and implement robust software engineering solutions and frameworks

• Implement and enhance engineering best practices company-wide

• Work with data scientists to implement the latest AI model approaches

• Lead cross-team technical design discussions on application architecture

• Manage project deliverables and mentor junior team members

Benefits:

• Equity

• Bonus

Benefits:

• In-person in NYC

• Competitive salary + meaningful equity

• Comprehensive medical, dental, and vision

• 401k enrollment with smart savings

• Daily lunches, dinners, and snacks

Experience Requirements:

• 4+ years of building scalable distributed systems

• Prior experience at an early-stage startup

• Proven ability to collaborate with engineers and PMs

Other Requirements:

• Fluency in Typescript and Python

• Hands-on experience with Kubernetes

• Must be available in NYC

• Nice to have: experience with Cadence or Temporal.io

Responsibilities:

• Own systems that automate repetitive work

• Collaborate with CTO and ML research partners

• Architect and scale backend infrastructure

• Design and implement services with AI models

• Deploy and manage services in Kubernetes

Benefits:

• In-person in NYC

• Competitive salary + meaningful equity

• Comprehensive medical, dental, and vision

• 401k enrollment with smart savings

• Daily lunches, dinners, and snacks

Experience Requirements:

• 4+ years of experience writing high-quality production code

• Prior experience at a Seed or Series A startup

• Proven ability to collaborate with designers, PMs, and engineers

Other Requirements:

• Fluency in Typescript, Python, and React

• Strong background in client-side technologies

• Must be available in NYC

Responsibilities:

• Own full lifecycle of features

• Make tradeoffs across frontend and backend

• Build reliable client-side features for workflow automations

• Integrate with backend APIs

• Partner with product and design for user experiences

Experience Requirements:

• 1 – 2 years

• Experience in managing Kubernetes cloud and bare metal clusters

• Linux Administration expertise

• Network administration—LAN and firewall, proxy, reverse proxy, load balancing

• Experience of handling any publicly accessible server

Other Requirements:

• Expertise in Kubernetes

• Expertise in Docker

• Proficiency in Bash Scripting

• Cloud setup (Oracle, AWS, AZURE expertise)

• Experience in Ansible

Responsibilities:

• Install and configure Linux Systems

• Work on Kubernetes cluster creation and management

• Assist developers to setup their Kubernetes environment

• Responsible for containerizing applications

• Perform system maintenance

Experience Requirements:

• 2-5 years in full-stack development

• Strong proficiency in Django

• Expertise in React

• Familiarity with RESTful APIs and web services

• Knowledge of containerization technologies like Docker

Other Requirements:

• Strong proficiency in React, Python, and either TypeScript or JavaScript

• Familiarity with HTML, CSS

• Good knowledge of sockets for real-time communication

• Strong understanding of version control systems like Git

• A creative mindset with an eye for detail

Responsibilities:

• Design, develop, and maintain scalable full-stack applications

• Develop robust back-end services and APIs using Python frameworks like Django (DRF)

• Implement and manage databases including MySQL, PostgreSQL, or MongoDB

• Work alongside UX team to implement designs in React

• Develop wireframes, prototypes, and mockups

Experience Requirements:

• 2 – 5 years

• Few years of experience in a presales or solutions engineering role

• Proven experience in presales roles

• Exposure to Finance Automation

• Experience in crafting compelling proposals, presentations, and POCs

Other Requirements:

• Good Understanding of Accounts Payable Process

• Broad knowledge of business processes in finance

• Good understanding of cognitive process automation technologies, including AI

• Proficiency in designing and configuring automation workflows

• Strong project management skills

Responsibilities:

• Conduct in-depth discussions with clients to understand business processes

• Present and demonstrate the capabilities of the E42 platform

• Analyze client requirements and design customized automation solutions

• Develop and present solution proposals including ROI analysis

• Provide technical expertise and support to the sales team

Benefits:

• Great salary plus opportunity for equity

• Learning budget

• Globally distributed team culture

• AI-fluency development

• Premium AI tools (ChatGPT, Claude, etc.)

Experience Requirements:

• 1+ year of software engineering experience with production systems in a SaaS environment

• Strong programming background in JavaScript, Python, or similar languages

• API debugging expertise (REST, JSON, HTTP, auth)

• Database knowledge (SQL queries, data analysis)

• Experience with LLMs or prompt engineering (preferred)

Other Requirements:

• Work NA time zones - 9:00 AM EST - 6:00 PM EST

• Excellent English communication (written and verbal)

Responsibilities:

• Debug complex API failures and integration bugs using production tools

• Troubleshoot and optimize prompt engineering configurations

• Fix customer integration issues through code modifications

• Lead complex technical implementations and migrations

• Create detailed technical documentation and runbooks

Benefits:

• Great salary plus equity

• Learning budget

• Globally distributed team working on AI

• Premium AI tools (ChatGPT, Claude, etc.)

Experience Requirements:

• Experience leading engineering teams that build and scale end-to-end production systems

• Deep understanding of AI/ML systems (agent orchestration, RAG, etc.)

• Proven ability to translate business needs into technical deliverables

• Background as a founder or engineering lead (preferred)

Responsibilities:

• Lead a team of engineers building production-grade AI agents

• Own success outcomes for a portfolio of strategic accounts

• Shape the platform based on deployment learnings

• Coach and mentor engineers

• Coordinate with Sales and CS to deliver results

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools

• Flexible remote work culture

Experience Requirements:

• 3+ years building in Node.js, React, TypeScript, and Express

• Strong with PostgreSQL, Redis, and AWS cloud environments

• Familiar with CI/CD and microservices architecture

• Experience integrating with LLMs in production (bonus)

Other Requirements:

• AI-first mindset (experience with Cursor, Claude Code)

Responsibilities:

• Design and build scalable features across the full stack

• Integrate cutting-edge LLM capabilities into enterprise workflows

• Optimize API performance and microservices architecture

• Maintain and improve cloud infrastructure (AWS)

• Collaborate with Product on roadmap development

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools budget

• Globally distributed team culture

Experience Requirements:

• Successfully scaled engineering teams to 30+

• Technical depth with AI-native fluency

• Experience leading teams that ship regularly at scale

• History of making technical decisions that shape company direction

• Experience building with conversational AI, event-driven systems, or CX platforms

Other Requirements:

• Startup DNA and comfort with ambiguity

• Infectious energy and positive culture builder mindset

Responsibilities:

• Set technical roadmap and align with business goals

• Double the engineering team over 12-18 months

• Stay hands-on with AI tools and coding experiments

• Partner with product/design/revenue leadership

• Establish scaling practices and drive velocity

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools budget

• Flexible remote work culture

Experience Requirements:

• 5+ years of software engineering experience in Node.js, React, TypeScript, and Express

• Solid experience with AWS (Fargate, Lambda, EC2, SQS)

• Strong database skills with PostgreSQL and Redis

• Deep experience in microservices architectures

• Familiarity with CI/CD pipelines

Responsibilities:

• Design and maintain scalable features across the full stack

• Integrate LLM capabilities into customer support workflows

• Solve complex engineering challenges like API optimization

• Maintain cloud infrastructure with a DevOps mindset

• Mentor teammates and foster engineering culture

Benefits:

• Comprehensive health coverage

• 401(k) matching

• Wellness and work enablement stipends

• Generous PTO

• A Sabbatical program

Experience Requirements:

• 5+ years of experience as a software engineer, preferably in backend systems at high-growth startups

Other Requirements:

• Strong coding skills with Typescript, Python, or other AI-relevant languages

• Authorized to work in the US

• Within the New York City metro area

Responsibilities:

• Design and implement AI-powered products integrated with the Bubble Editor

• Build intuitive UX for AI features and improve agent/RAG pipelines

• Build frameworks for evaluating agent performance

• Translate ambiguous AI challenges into engineering plans

• Shape the direction of AI initiatives with product and design teams

Benefits:

• Comprehensive health coverage

• 401(k) matching

• Wellness and work enablement stipends

• Flexible PTO

• A Sabbatical program

Education Requirements:

• Master’s or PhD in AI, ML, NLP, or a related field

Experience Requirements:

• 2+ years of industry experience working with LLMs, AI model optimization, and NLP pipelines (with advanced degree)

• OR 5+ years of industry experience as a Machine Learning or Software Engineer

Other Requirements:

• Experience with transformer models, RAG, and dataset curation

• Experience with agentic AI workflows

• Authorized to work in the US

• Within the New York City metro area

Responsibilities:

• Improve LLM reasoning and retrieval techniques

• Design and build agentic workflows for multi-step app generation

• Fine-tune and optimize LLMs for app-building workflows

• Build and optimize proprietary AI models on domain-specific datasets

• Scale AI research into production environments

Benefits:

• Comprehensive health coverage

• 401(k) matching

• Wellness and work enablement stipends

• Generous PTO

• A Sabbatical program

Experience Requirements:

• 5+ years of experience in software development

Other Requirements:

• Experience with scalable distributed systems (Node.js, Rust, PostgreSQL, Kafka, Terraform)

• Authorized to work in the US

• Within the New York City metro area

• Availability for after-hours/on-call support

Responsibilities:

• Implement scalable infrastructure for infinitely many apps

• Improve performance and reliability across all backend services

• Design and implement system observability and SLOs

• Build workflow engines and scale the data tier

• Participate in triage and on-call processes

Benefits:

• Comprehensive health coverage

• 401(k) matching

• Wellness and work enablement stipends

• Generous PTO

• A Sabbatical program

Experience Requirements:

• 5+ years of professional software engineering experience

Other Requirements:

• Authorized to work in the US

• Proficiency with modern frontend frameworks (TypeScript, SolidJS/React)

• Experience with developer tooling (build systems, bundlers, CI/CD)

• Remote work only available in specific listed US states

Responsibilities:

• Migrate off legacy frameworks and introduce modern frontend tooling

• Upgrade shared libraries and support the internal design system

• Reduce test suite runtime and improve reliability

• Optimize the local development loop (build, bundling, hot reload)

• Investigate and resolve frontend performance regressions