AI Jobs

Benefits:

• Uncapped commission earning potential based on company performance

• Remote working (with the option of working in our office space in Manchester)

• Private Vitality medical insurance

• Private Pension with company contributions (up to 3% matched)

• 28 days holiday plus 8 UK bank holidays

Experience Requirements:

• Strong background in ETL/maintaining data pipelines

• Comfortable reading and writing code for ETL in Python

• Good technical ability with SQL (Postgres preferred)

• Basic understanding of cloud concepts (AWS preferred)

• Experience supporting data pipelines and analytical platforms

Other Requirements:

• Good communication skills

• Experience with manipulating audio files (desirable)

• Exposure to transforming call centre data (desirable)

Responsibilities:

• Maintain build schedules so that pipelines run

• Respond, Triage, and debug the pipeline when it is broken

• Be part of a team responsible for deploying new features to the product platform

• Reading code and writing code changes and/or modifying the monitoring set-up

• Work with client teams to understand data transformations required

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)

Experience Requirements:

• 6+ years of experience in data or backend engineering

• Strong proficiency in Python for data tasks

• Hands-on experience with Apache Airflow and Apache Spark

• Deep experience with public cloud platforms and cloud-based data storage

• Experience working with Docker and Kubernetes

Other Requirements:

• Hands-on experience with CI tools such as GitHub Actions

• Ability to perform under pressure and make strategic prioritization decisions

• Excellent communication skills and strong teamwork

• Experience developing agents or agent-based systems (Advantage)

• Experience with GCP (Advantage)

Responsibilities:

• Design, implement, and optimize scalable data pipelines

• Build and maintain robust data acquisition systems

• Develop Harmonya’s agentic capabilities

• Mentor, support, and guide junior team members

• Collaborate with DevOps, Data Science, and Product teams

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field

Experience Requirements:

• 4+ years of hands-on ML compiler or systems engineering experience

• Demonstrated experience building and owning an end-to-end compiler stack

• Experience working with machine learning models, neural network graphs, and graph optimizations

• Comfortable collaborating with hardware teams to map novel architectural primitives

• Strong understanding of compiler performance trade-offs, profiling, and bottleneck analysis

Responsibilities:

• Work across the full stack with software, systems, and hardware teams

• Contribute to shaping the long-term compiler architecture and tooling strategy

• Design and implement parts of the compiler stack targeting our novel AI accelerator

• Build and evolve MLIR/LLVM based infrastructure

• Collaborate closely with hardware architects, microarchitects, and research teams

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of frontend software engineering experience

• Strong frontend coding skills in TypeScript and React

• Experience crafting complex user experiences with a strong intuition for design

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing interactive workflow UIs

• Collaborating closely with product designers to ensure interface quality

• Owning APIs and orchestration patterns connecting frontends with ML services

• Partnering with ML researchers and users to translate requirements into features

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of software engineering experience

• Experience building complex systems with a focus on reliability and performance

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

• Skill and comfort working in a constantly evolving environment

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing backend systems that support complex verification workflows

• Owning API contracts between frontend and backend systems

• Driving engineering roadmaps in collaboration with researchers and product managers

Experience Requirements:

• 5+ years of prior experience in DevOps, SRE, Systems Engineer, or similar role

• Practical experience designing and building cloud-based infrastructure on Linux

• Proficiency with AWS and Kubernetes

• Practical experience with infrastructure as code tooling (e.g. Terraform, OpenTofu)

• Experience with implementing CI/CD workflows

Other Requirements:

• Professional fluency in Korean and English

Responsibilities:

• Designing, building, and operating infrastructure for Normal’s products

• Collaborating with product and AI teams to define DevOps standards

• Deploying and managing Normal’s product stack in client environments

• Designing and implementing CI/CD pipelines for software and data workloads

• Implement logging, monitoring, and alerting best practices

Benefits:

• Offers Equity

Experience Requirements:

• Previous experience delivering production AI systems involving language models

• Solid software engineering skills with experience in distributed systems

• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face)

• Hands-on experience with prompt engineering, fine-tuning, and deploying LLMs

• Ability to wrangle, clean, and preprocess large-scale datasets

Responsibilities:

• Lead end-to-end AI development from initial concept through production deployment

• Design and implement LLM-powered solutions for technical documents

• Handle multi-modal complexity and explore multi-agent and RL approaches

• Design strategies to manage latency, output variance, and error handling

• Collaborate with product and engineering teams to embed AI capabilities

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in Digital Verification at a major semiconductor or EDA tool company

• Advanced proficiency in SystemVerilog and UVM methodology

• Proficiency in EDA verification tools (vManager, Xcelium, Jasper)

• Proficiency and application of Python or Perl scripting

• Proven expertise in end-to-end design verification flow

Responsibilities:

• Review AI-generated collateral to help shape product strategy

• Provide design verification for internal hardware projects

• Set up and evaluate EDA tools for internal usability

• Create testbench environments, assertions, and coverage from design documents

• Curate and annotate datasets for chip specification association

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Electrical / Electronic Engineering, Computer Engineering, or Computer Science

Experience Requirements:

• Experience in digital logic design for AI/ML accelerators or compute architectures

• Deep understanding of modern AI algorithms and architectures (transformers, etc.)

• Knowledge of existing AI accelerator architectures (TPU, Cerebras, etc.)

• Proficiency in SystemVerilog for RTL design and verification

• Ability to translate algorithmic requirements into efficient hardware microarchitecture

Responsibilities:

• Define microarchitecture for novel AI accelerator blocks

• Write high-quality RTL in SystemVerilog for core logic and datapaths

• Analyze existing AI accelerator architectures and apply lessons learned

• Work with DV team on digital verification for assigned designs

• Work with physical design engineers to ensure RTL is performant

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Typescript, React, and Python

Other Requirements:

• User-focused design intuition and design taste

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity, excellence in engineering, and code velocity

Responsibilities:

• Prototyping and designing new features of our voice interface

• Building infrastructure to handle <500ms LLM inference

• Scaling the personalization of our speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Swift, shipped multiple iOS apps to large userbases

• Built full-stack personal projects or contributed to open source in Swift

• Strong programming practices and high-throughput of code

Other Requirements:

• Incredible attention to detail on design and animations

• Care towards code quality and UX

• Outstanding team player and communicator

Responsibilities:

• Designing Wispr's iOS voice assistant

• Improving the core Flow voice dictation experience

• Prototyping and shipping our new voice interface features

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Experience optimizing ML inference or engineering systems for research teams

• Fluency in Python and LLM development

Other Requirements:

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity, excellence in engineering, and code velocity

Responsibilities:

• Prototyping and designing new features of our voice interface

• Building infrastructure to handle <500ms LLM inference

• Scaling the personalization of our speech models and LLMs with fine-tuning and RL

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Experience building and scaling teams from 20 to 100 people

• Fluency in Typescript, React, and Python

Other Requirements:

• Cultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessed

• Can build a culture that’s thoughtful, aggressive, innovative

• Able to increase the velocity and predictable delivery of an engineering team

• Product minded for a prosumer interface

• Aptitude and clarity of thought

Responsibilities:

• Direct the engineering team

• Scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people

• Prototype and design new features of our voice interface

• Build infrastructure for <500ms LLM inference

• Scale the personalization of speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Kotlin, shipped multiple Android apps to large userbases

• Built personal projects or contributed to open source in Kotlin

• Strong programming practices and high-throughput of code

Other Requirements:

• Incredible attention to detail on design and animations

• Care towards code quality and UX

• Outstanding team player and communicator

Responsibilities:

• Building Wispr's Android voice interface from scratch

• Improving the core Flow voice dictation experience

• Prototyping and shipping our new voice interface features

• Designing floating overlay UI/UX and integrating with accessibility APIs

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

Experience Requirements:

• 8+ years of experience in IT, software or systems engineering

• 3+ years in leading engineering teams

• Experience administering and integrating SaaS applications

• Proficiency in a scripting language (Python, JavaScript)

Other Requirements:

• Experience in implementing and leveraging AI solutions

• Strong understanding of cloud-native architectures

Responsibilities:

• Develop and execute strategy for Corporate Engineering function

• Design and oversee a scalable ecosystem of enterprise applications

• Provide technical guidance and review system architecture

• Partner with stakeholders across Security, IT, and Engineering

• Lead the strategy and execution of enterprise AI solutions

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

Experience Requirements:

• 8+ years of experience in IT, software or systems engineering

• 3+ years in leading engineering teams

• Experience administering and integrating SaaS applications

• Proficiency in a scripting language (Python, JavaScript)

Other Requirements:

• Experience in implementing and leveraging AI solutions

• Strong understanding of cloud-native architectures

Responsibilities:

• Develop and execute strategy for Corporate Engineering function

• Design and oversee a scalable ecosystem of enterprise applications

• Provide technical guidance and review system architecture

• Partner with stakeholders across Security, IT, and Engineering

• Lead the strategy and execution of enterprise AI solutions

Benefits:

• annual bonus

• equity compensation

• medical benefits

Experience Requirements:

• 5+ years of professional software development experience

• Expert-level proficiency in Modern C++ (14/17/20)

• Experience with Python or Golang for automation

• Experience with systems integration and physical devices

• Expert knowledge of Linux environment

Other Requirements:

• Familiarity with ROS or middleware communication

• Experience with automotive protocols (CAN-bus, Ethernet)

• Real-Time Systems experience (FreeRTOS, QNX)

• Infrastructure-as-Code experience (Terraform, Docker)

Responsibilities:

• Architect and develop core HIL software interfaces

• Build scalable tooling, APIs, and cloud integration

• Lead technical design reviews and system architecture

• Optimize system performance and debug low-level issues

• Mentor junior and mid-level engineers

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or a related field

Experience Requirements:

• 6+ years of industry experience in high-availability cloud services

• Strong backend service engineering skills (Golang, Python, C++)

• Experience with databases and caches (Postgres, Redis)

Other Requirements:

• Experience with Kubernetes and AWS/GCP/Azure

• Experience building gRPC services

• Experience with IoT devices and Over-the-Air communication

• Experience with fleet management solutions

Responsibilities:

• Design complex systems from the ground up

• Embrace AI tools to add new features

• Build backend services running in AWS cloud

• Establish technology and infrastructure to scale products

• Collaborate with Security, Product, and Design stakeholders

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or a related field

Experience Requirements:

• 6+ years of industry experience in high-availability cloud services

• Strong backend service engineering skills (Golang, Python, C++)

• Experience with databases and caches (Postgres, Redis)

Other Requirements:

• Experience with Kubernetes and AWS/GCP/Azure

• Experience building gRPC services

• Experience with IoT devices and Over-the-Air communication

• Experience with fleet management solutions

Responsibilities:

• Design complex systems from the ground up

• Embrace AI tools to add new features

• Build backend services running in AWS cloud

• Establish technology and infrastructure to scale products

• Collaborate with Security, Product, and Design stakeholders

Benefits:

• Competitive salary

• Pension program

• Personal development opportunities

• Clear path for career growth

Experience Requirements:

• 3-5+ years of progressive experience in IT/System Administration

• Hands-on experience with Microsoft 365 Suite

• Experience with identity and access management solutions (Okta preferred)

• Experience with XDR and SIEM tools like CrowdStrike and Rapid7 (preferred)

• Experience working in cloud environments such as AWS or Azure (preferred)

Other Requirements:

• Comfort commuting to the Atlanta office four to five days a week

• Service-oriented mindset

• Ability to take part in a 24/7 on-call rotation for critical issues

• Knowledge of Zero Trust security principles

Responsibilities:

• Provide technical assistance for Windows and macOS workstations

• Automate user identity lifecycle management

• Enforce security best practices across endpoints and SaaS platforms

• Monitor system health and performance for compliance

• Maintain thorough system documentation