Benefits:

• Stock options and huge potential for growth

• Strong startup (and fun) culture

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Education Requirements:

• BS in Mechanical Engineering or equivalent

Experience Requirements:

• Experience with Solidworks & PDM

• Experience working with robotic or mechatronic systems

• Experience working with and managing vendors

Other Requirements:

• Ability to communicate effectively and cross-functionally

• Ability to work independently

Responsibilities:

• Work with the mechanical team to deliver the next-generation design of our robot

• Design and manage components across the HW lifecycle (concept, design, fabrication, test, production)

• Engage cross-functionally with electrical engineering, product, and software to make sure design decisions fit within the constraints of the system

• Propose and resolve issues with current robot systems while accounting for engineering efforts and budget

• Rapidly iterate on a design by building quick prototypes

Benefits:

• Learning and development opportunities

• Freedom to develop to your full potential

• Opportunity to contribute to the success of a fast-growing, market-leading product

• Work from home setup and all the peripherals you need to succeed in our remote working package

• Health insurance with no waiting period including spouse and children, vaccination support, and paid maternity and paternity leaves

Education Requirements:

• Graduate Computer Science/Applications or Engineering

• ISTQB Foundation Level Certified Tester is preferred, but not mandatory

Experience Requirements:

• Minimum of 2-4 years of relevant industry experience

• Experience of working as part of a team delivering complex tasks

• Experience in API testing and working knowledge of Postman

• Hands-on experience with both white box and black box testing

• Hands-on experience in bug tracking tools like Jira

Other Requirements:

• Strong knowledge of SDLC , Software QA methodologies, tools and processes and experience writing comprehensive test plans and test cases

• Strong analytical and problem solving skills

• Excellent written and spoken communication skills

• Self-starter, quick learner who enjoys working in a challenging, fast paced environment

Responsibilities:

• Analyze requirements, specifications and technical design documents to provide timely and meaningful feedback

• Create detailed, comprehensive and well-structured test plans and test cases

• Perform Functional and API Testing

• Record Test results and maintain the execution log

• Report and document defects in defect tracking tool following agreed upon processes on discovery of quality problems and ensure minimal bug leakage

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 4-6 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 5+ Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Experience Requirements:

• 3+ years experience in full-stack web development

• Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS

• Experience with backend API system development & deployment on cloud (e.g. AWS)

• Strong understanding of HTML, CSS, and JavaScript

• Experience in building ML applications or ML platforms

Responsibilities:

• Full-stack development in dev tooling and applications for GenAI copilots & agents

• Spearheading the development and maintenance of high-quality web front-end using React.js

• Contributing to the backend API system for cloud or on-prem deployment

• Staying updated on emerging technologies and best practices in web development

• Collaborating with Nexusflow.ai’s full team for product development, deployment and customer success

Experience Requirements:

• Research or industrial engineering experience in large language model or multi-modality models

• Experience in data curation for LLMs

• Experience in pre-training or instruction tuning for LLMs

• Experience in building copilots & agents

• Experience in capability study and benchmarking for LLMs

Responsibilities:

• Develop LLMs targeted at powering copilots and agents built for enterprise workflows

• Develop toolings to attain last-mile quality and robustness for copilot & agents applications

• Building copilot & agent application solutions for high value customer verticals

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

• Experience in building backend for application or platform API systems

• Senior Level experience

• Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

• Experience in projects involving LLMs

Responsibilities:

• API system development for copilot & agent quality tooling

• API system development for copilot serving and integration with enterprise-grade requirements

• Integration with on-prem & cloud compute vendors

• Integration with software tools required in customer oriented solutions

• Collaborate with the whole team for product development, deployment and customer success

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customers' Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Education Requirements:

• BSc in Computer Science or equivalent

Experience Requirements:

• 7+ years of experience in software development

• 5+ years of experience with Node.js

• Expert knowledge of Python capabilities and limitations

• Understanding of front-end concepts and technology (React, TypeScript)

• Experience with relational databases (such as PostgreSQL)

Other Requirements:

• Excellent communication skills

• Organized and self-driven

• Familiarity with Agile development methodologies

• Ability to work in high-paced and dynamic start-up environments

• An all-star team player with a “can do” attitude

Responsibilities:

• Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.

• Write well-crafted, tested, readable, and maintainable code.

• Participate in code design, code review, and distribution knowledge.

• Develop distribution and deployment tools for different platforms.

• Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.

Education Requirements:

• B.Sc. or higher in Computer Engineering, Electrical Engineering, or related field

Experience Requirements:

• 7+ years of hands-on experience in embedded systems development

• Strong proficiency in C/C++ and familiarity with ARM-based SoCs

• Experience with bootloaders (e.g., U-Boot), Linux kernel internals, and device drivers

• Proven experience with board bring-up and hardware/software integration

• Previous leadership or team management experience is a must

Other Requirements:

• Excellent problem-solving, communication, and interpersonal skills

• Familiarity with Yocto, Buildroot, or other embedded build systems is a plus

Responsibilities:

• Lead the BSP / Embedded development team, providing technical direction, mentorship, and guidance

• Design, develop, and maintain BSP components including bootloaders, device drivers, and board initialization code

• Collaborate with hardware teams to bring up new boards and support silicon validation

• Ensure seamless integration of BSP with Linux (or other OS) kernels and embedded software stacks

• Define and enforce coding standards, development processes, and quality benchmarks

Benefits:

• Competitive salary and benefits package

• Opportunities for growth and professional development

• A dynamic and inclusive work environment

• The chance to work on cutting-edge projects that impact the future of software development

Experience Requirements:

• Proven experience as a UX Engineer or similar role, with a strong portfolio showcasing your UX design and front-end development work

• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular

• Experience with design tools such as Sketch, Figma, or Adobe XD

• Strong understanding of user-centered design principles and best practices

• Ability to create wireframes, prototypes, and high-fidelity mockups

Other Requirements:

• Experience in working with AI-driven platforms

• Knowledge of accessibility standards (WCAG) and best practices

• Familiarity with user testing tools and analytics platforms

Responsibilities:

• Design and implement user interfaces that are intuitive, efficient, and engaging

• Collaborate with designers, product managers, and developers to translate user needs and business requirements into interactive and functional user interfaces

• Conduct user research, usability testing, and feedback analysis to inform design decisions

• Ensure all UI/UX designs adhere to best practices in accessibility, scalability, and responsiveness

• Develop and maintain design systems and documentation to ensure consistency across the platform

Benefits:

• private health insurance

• extra paid day off for your birthday

• flexible sick leave policies

• two weeks of additional paid parental leave

• focus on career development

Experience Requirements:

• 5+ years working in infrastructure (SysAdmin, SRE, SysOps roles)

Other Requirements:

• Confident with Linux and Windows systems

• Strong Git and version control experience

• Experience with Infrastructure-as-Code (especially Terraform)

• Deep understanding of AWS

• Familiarity with networking protocols and Unifi tools

Responsibilities:

• Help build the infrastructure powering next-generation computer vision technology

• Help scale and support Eyecue, Fingermark’s computer vision intelligence platform

• Build and maintain hybrid infrastructure across cloud (AWS) and on-premise environments

• Play a key role in enabling seamless deployment across cloud, edge, and extreme edge devices

• Helping to operationalise computer vision and machine learning at scale

Benefits:

• In-house lunch

• Pension Plan

• Private Health insurance

• Parental leave benefits

• Workstation (including necessary equipment)

Education Requirements:

• Degree in Computer Science, Engineering, or related field

Experience Requirements:

• 8-10+ years in technical roles, including 5+ years in engineering leadership (Head/Director level).

• Proven track record in scaling tech teams within AI, SaaS, or data-driven B2B companies.

• Strong technical strategy execution, balancing long-term vision with short-term goals.

• Strong architectural expertise with the ability to code and mentor teams.

• Experience with DevOps, cloud-native infrastructure, and modern software practices.

Other Requirements:

• Proficiency in our tech stack - Python, Django, FastAPI, React, TypeScript, and GCP (expertise in front-end or back-end is a plus).

• Passion for simplifying complex systems into scalable, modular components.

• Excellent communication and leadership skills, fostering innovation and collaboration.

• Product mindset - able to align engineering decisions with customer impact.

• SaaS scaling experience - designing for high-volume, high-growth environments.

Responsibilities:

• Own and drive the technical roadmap, ensuring scalability, performance, and reliability.

• Lead and monitor a high-performing engineering team (currently 7 engineers).

• Define and align technical strategy with product goals in collaboration with the CPO.

• Optimize and simplify systems to handle high growth and scalability.

• Foster cross-functional collaboration across engineering, AI, product, and client-facing teams.

Benefits:

• Work closely with healthcare technology professionals, continuously learning and growing.

• Be part of an autonomous, team-oriented culture.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 3-5 years of experience in cloud infrastructure, DevOps, or platform engineering.

• Proficiency in Kubernetes administration and containerised application deployment.

• Experience working with event-driven architectures and message brokers (especially Kafka).

• Strong understanding of observability tools like Grafana or Datadog for monitoring and troubleshooting.

• Hands-on experience with Kubernetes, container orchestration, and cloud infrastructure (AWS, GCP, or Azure).

Other Requirements:

• Excellent English verbal and written communication skills, including all-remote communication.

Responsibilities:

• Help partners with Day 1 and Day 2 operations for forward-deployed AI Platform installations, ensuring smooth deployment and ongoing functionality.

• Feedback areas of improvement that will simplify operation at the partner site and enhance the overall performance of our solutions.

• Enable partners to get the most out of their forward-deployed components through technical guidance, troubleshooting, and optimization.

• Serve as the technical bridge between Corti's engineering team and healthcare partners, translating requirements in both directions.

• Monitor and maintain deployed systems, diagnosing and resolving issues proactively before they impact operations.

Benefits:

• You’ll get to help redefine how we work with AI.

• You’ll learn much more about machine learning, generative AI, healthcare, product, and commercial excellence.

• You’ll work in a multidisciplinary company with over 28 nationalities anchored in a flat meritocracy.

• You’ll work with some of the smartest people you have met.

Education Requirements:

• Bachelor’s degree in Information Security, Computer Science, Information Technology, or a related field; Master’s degree or relevant certifications (e.g., CISSP, CISM, CISA) preferred.

Experience Requirements:

• 3+ years of experience in an IT Engineering role, focusing on security, compliance, project management and IT troubleshooting.

• An interest in modern security best-practices and containerized production environments using Kubernetes.

• Strong understanding of IT infrastructure, networking, and security technologies such as Azure Entra ID, VLAN’s, IPMI/BMC, XDR and NGAV.

• A passion for automation, a strong sense of quality and a practical approach to problem-solving.

• Experienced in server and endpoint device management, including Windows, MacOS, and Linux operating systems, including the use of MDM.

Other Requirements:

• Occasional travel required to data centres for on-site support

Responsibilities:

• Assessed and responded to all operational cybersecurity-related incidents according to Corti's relevant policies and procedures.

• Resolved all reported incidents quickly and effectively according to our internal SLAs and standards.

• Ensured operational effectiveness and planning capacity of the network and data center infrastructure.

• Supported the development and operations of our datacenter infrastructure to allow our engineers to focus on the product.

• Support company-wide operational IT and security policies in Drata, and ensured that Cortians adhere to them.