Experience Requirements:

• Strong proficiency in Java and object-oriented programming

• Experience with Spring Framework (Spring Boot, Spring MVC)

• Familiarity with RESTful APIs and microservices architecture

• Knowledge of version control systems like Git

• Understanding of Agile development methodologies

Other Requirements:

• Experience with cloud platforms (AWS, Azure, GCP)

• Familiarity with CI/CD tools and DevOps practices

• Exposure to frontend technologies like Angular or React is a plus

Responsibilities:

• Develop and maintain Java applications using Spring Boot and related technologies

• Write clean, efficient, and well-documented code

• Collaborate with cross-functional teams to define, design, and ship new features

• Troubleshoot and resolve issues in existing applications

• Participate in code reviews and contribute to best practices

Benefits:

• Remote Office – Flexible hybrid setup or fully remote option

• Parking Space – Free parking spots available

• Health Insurance – Additional private health insurance, including dental care

• Personal Development – Company-sponsored training budget

• Holidays – Extra 5 days after your 1st and 5th year

Education Requirements:

• A degree in Computer Science, Software Engineering, or a related technical field

• (or equivalent practical experience)

Experience Requirements:

• Familiarity with at least one programming language such as Java, JavaScript, Python, or similar

• Basic Understanding Of Object-oriented programming

• Basic Understanding Of Software development principles

• Basic Understanding Of Version control (e.g. Git)

• Basic Understanding Of Testing and debugging

Other Requirements:

• A motivated and curious learner who wants to understand how modern software is built and operated

• A team player who enjoys collaboration and knowledge sharing

• Organized and detail-oriented, with a desire to write clean, maintainable code

• Open to feedback and eager to continuously improve

• Enthusiastic about contributing to real-world systems and learning modern engineering practices

Responsibilities:

• Contribute to the development of software solutions under the guidance of senior engineers

• Write clean, readable, and testable code using object-oriented principles

• Participate actively in code reviews, sprint planning, stand-ups, and retrospectives

• Learn our platform, tools, and development practices through a structured onboarding process

• Support troubleshooting and bug fixing in both development and production environments

Other Requirements:

• Proficiency in Python and Flask/Quart/Fast API.

• Strong understanding of asynchronous programming and scalable system design.

• Strong understanding of AI fundamentals.

• Background in competitive programming (ICPC or similar) and sharp problem-solving skills.

• Experience building applied AI/ML solutions.

Responsibilities:

• Work with multiple external APIs to scrape web data and tie everything together with Agentic AI workflows to provide seamless, powerful experiences for our users.

• Work with backend developers to develop UI tightly coupled with the AlphaTravel AI engine creating novel travel planning workflows in the process.

• Make defining contributions to AlphaTravel, our proprietary travel AI engine based on cutting edge AI research that is redefining travel planning.

• Develop new functionality and user flows, add new agents and variables, fine-tune existing agents, build constrained optimizers, optimize the entire graph and add explainability.

• Solve complex workflow challenges involving multi-step user tasks, dependencies, and resource management.

Other Requirements:

• Proficiency in Python and Flask/Quart/Fast API.

• Strong understanding of asynchronous programming and scalable system design.

• Strong understanding of AI fundamentals.

• Background in competitive programming (ICPC or similar) and sharp problem-solving skills.

• Experience building applied AI/ML solutions.

Responsibilities:

• Work with multiple external APIs to scrape web data and tie everything together with Agentic AI workflows to provide seamless, powerful experiences for our users.

• Work with backend developers to develop UI tightly coupled with the AlphaTravel AI engine creating novel travel planning workflows in the process.

• Make defining contributions to AlphaTravel, our proprietary travel AI engine based on cutting edge AI research that is redefining travel planning.

• Develop new functionality and user flows, add new agents and variables, fine-tune existing agents, build constrained optimizers, optimize the entire graph and add explainability.

• Solve complex workflow challenges involving multi-step user tasks, dependencies, and resource management.

Experience Requirements:

• 2+ years of experience with React and Javascript.

• 1+ year experience working with Redux and other standard frontend frameworks.

Other Requirements:

• Ability to write scalable, modular, optimised code for responsive frontend components.

• Strong AI fundamentals.

• Experience working on the Azure platforms.

Responsibilities:

• Lead the development of cutting-edge agentic AI experiences in the Airial Travel app and website in React Native across Android and iOS and React on desktop.

• Design and implement next-gen interactive UI components based on LLMs and other Gen AI models.

• Engineer state-of-the-art frontend features that coordinate dozens of AI models and APIs to provide personalized recommendations, intricately crafted plans, and real-time booking options.

• Work with backend developers to develop UI tightly coupled with the AlphaTravel AI engine creating novel travel planning workflows in the process.

• Focus on optimizing the app and website performance to ensure smooth, fast load times and a responsive interface across all devices.

Education Requirements:

• Degree qualified in a relevant subject

Experience Requirements:

• Experience writing concurrent code, are comfortable with mutexes and shared memory, know when to use a thread vs a job queue

• You understand distributed systems and the various reasons why they fail, what the various tradeoffs are between different delivery systems, what CAP theory is

• Have mechanical sympathy, know how to utilize hardware effectively, GPUs, disk I/O

• Comfortable profiling and tuning performance - you’ve used tools like perf, nvprof, nsight, valgrind, or custom instrumentation to root out bottlenecks and inefficiencies

• You have a passion for testing and automation - not as a chore, but as a foundation for velocity

Other Requirements:

• Not a Jerk - no matter how brilliant. We don’t need any Elton Johns or Mariah Careys in this team

• Are effective at communicating to the team, responding to their frustrations, bug requests, getting them on board with the tools you build

Responsibilities:

• Design and build robust, high-performance systems that power our computer vision pipelines

• Enabling real-time, scalable, and efficient processing on the edge and in the cloud

• Work with C++, CUDA, and other low-level systems to squeeze every last drop of performance from the hardware

• Make complex systems observable and debuggable

• Add metrics, traces, and logs that help diagnose performance bottlenecks and correctness issues

Experience Requirements:

• Experience with concepts including Field of View (FoV), Frame Rate, Bandwidth, detection, and recognition ranges

• Hands-on experience in design, installation, and deployment, with knowledge of various VMS brands and platforms

• Hands-on experience in design, installation, and deployment

• Basic knowledge required

• Strong understanding of server setup, configuration, and maintenance

Other Requirements:

• Proficiency with Linux-based systems, including troubleshooting and scripting

• Familiarity with Docker, Kubernetes, or cloud-based deployments is a plus

• Intermediate proficiency with Microsoft Office or Google Workspace

• Full professional proficiency required

• Availability for occasional international travel

Responsibilities:

• Deploy, configure, and maintain icetana’s video analytics solutions across diverse client environments

• Troubleshoot and resolve technical issues promptly, ensuring high availability and optimal performance of deployed systems

• Collaborate with System Integrators and clients during installation, configuration, and maintenance phases

• Provide training to end-users, customers, and system integrators on solution operation and maintenance

• Localise technical documentation as needed to meet client-specific requirements and regional standards

Benefits:

• Health plan

• Dental plan

• Extended parental leave

• Daycare assistance

• Education incentive

Education Requirements:

• Academic background in computing (degree complete or in progress in Computer Science, Computer Engineering, Information Systems or related fields)

Experience Requirements:

• Experience with automated tests

• Deep understanding of current system flows to anticipate risks and propose quality improvements

Other Requirements:

• Advanced English

• Tech Stack: Python, Java, Golang, AWS (EKS, SQS, SNS), PostgreSQL, ClickHouse, Redis, Git, Jenkins, Grafana

Responsibilities:

• Investigate and diagnose failures, identifying the root cause of bugs and system inconsistencies.

• Create test suites based on functional and non-functional requirements of features.

• Implement automated tests to ensure coverage and reliability of new functionalities.

• Validate system state before deployments, ensuring all environments are stable and ready for release.

• Continuously monitor application health and performance, acting preventively in cases of instability.

Experience Requirements:

• 3+ years building production systems in Python/Django with Postgres.

• Hands-on experience fine-tuning and optimizing LLMs/SLMs, ideally in fraud, anomaly detection, or adversarial domains.

• A track record of reducing latency/cost in ML inference without compromising accuracy.

• Comfort working across the stack - from PyTorch profiling to Django APIs.

• An experimental but practical mindset: ship fast, measure rigorously, iterate.

Other Requirements:

• Prior work with imbalanced datasets (e.g., 1 in 10,000 fraud cases).

• Knowledge of feature stores, online learning, and temporal aggregation for fraud models.

• Familiarity with regulatory requirements around PII, KYC/AML, and compliance in financial data.

Responsibilities:

• Fine-tune, distill, and quantize LLMs and small language models (SLMs) for fraud detection tasks: entity resolution, anomaly detection, customer communication classification, synthetic data generation.

• Optimize inference so our models run fast and cost-efficiently in production - using techniques like lightweight fine-tuning (LoRA/PEFT), quantization to smaller precisions, and modern serving frameworks (e.g. vLLM, TensorRT)

• Build training/eval pipelines for fraud models that balance recall (catch fraud) with precision (minimize false positives).

• Create golden datasets, adversarial test sets, and online/offline evaluation harnesses that mirror real-world fraud evolution.

• Architect and own Python/Django services that integrate model predictions directly into customer-facing APIs.

Education Requirements:

• relevant education background in Engineering

Experience Requirements:

• 4-5 years

Other Requirements:

• Comfortable using programming languages and relational databases

• Strong debugging and troubleshooting skills

• Strong understanding of JavaScript fundamentals

• Good hands-on experience with React, Redux, Nodejs and Mongo

Responsibilities:

• Own and build new features, improvements, bug fixes

• Write clear quality code for software and applications and perform test reviews

• Develop, implement, and test APIs

• Provide input on software development projects

• Have critical and analytical thinking skills

Benefits:

• flexible remote working environment

• healthy work-life balance

• Base salary + OTE

• high likelihood of this role becoming a leadership role

Experience Requirements:

• 7+ years of user-facing experience whilst working directly for a SaaS company

• Experience with Salesforce, Hubspot, LimeCRM, Microsoft Dynamix, other CRMs

• Tech background (API’s, Web development, JS)

Other Requirements:

• Fluent in English

• High degree of empathy and emotional intelligence

• Demonstrated business acumen and expectation management skills

• Project management skills

• Familiarity with ABM, online advertising and Google Ads

Responsibilities:

• Handle inbound queries via chat and email

• Participate in calls with clients and prospects

• Contribute to our internal and external knowledge bases

• Troubleshoot bugs and file feature requests

• Manage enterprise client requirements during pre-sales transitioning from pre-sales to post-sales

Benefits:

• Hands-on experience in embedded systems, robotics, and AI-driven imaging technologies.

• Exposure to full lifecycle development—from design to testing and deployment.

• Mentorship from experienced engineers and scientists.

• The chance to contribute to cutting-edge innovations in spectral sensing and MedTech.

• The opportunity to work with a cutting-edge AI-powered technology company

Education Requirements:

• Master ’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field.

Experience Requirements:

• Basic to intermediate experience in one or more programming languages such as C#, Python, or JavaScript.

• Familiarity with embedded platforms (Arduino, Raspberry Pi, Jetson).

• Understanding of software–hardware integration and communication protocols (e.g., serial, USB, I2C, SPI).

Other Requirements:

• Curious, proactive, and eager to learn new technologies.

• Strong problem-solving skills and attention to detail.

• Effective communication and collaboration within cross-functional teams.

• Comfortable working in a dynamic startup environment with evolving priorities.

• Applicants must be U.S. citizens.

Responsibilities:

• Assist in the design, development, and testing of embedded and desktop software for device control, spectral data acquisition, and system automation.

• Support implementation and optimization of systems using Arduino, Raspberry Pi, and Nvidia Jetson platforms.

• Help develop and test APIs and system integration for real-time data collection and control of optical devices.

• Contribute to prototyping and automation projects, including interfacing with motors, sensors, and actuators.

• Support data analytics and visualization workflows, including Python-based processing of spectral and image data.

Benefits:

• Non-bureaucratic compute approvals

• Work on frontier methods that scale

• Everyone on the team can code

• Competitive compensation with generous early-stage equity, full medical and vision

Education Requirements:

• BSc/MSc/PhD is an indicator

Experience Requirements:

• Familiar with TRL/veRL/etc.

• Comfortable with torchrun/accelerate/multi-node training.

• Clever about getting the data needed – or synthetically generating it.

• Finds easy solutions to hard problems, but doesn't mind getting their hands dirty, i.e., jumping a layer down into PyTorch or CUDA.

• Publications are a plus, but being able to critically evaluate research is a must.

Other Requirements:

• Not afraid of formulas

• Thinks they can learn anything in 2 weeks, but isn't arrogant about it.

• Prefers .py to .tex

• Must articulate ideas well! A big part of making successful models is telling people about them. This includes writing docs and technical reports at the minimum – and jumping on podcasts at the extreme.

• If you do not have US work authorization, we can help with that.

Responsibilities:

• Post-train reasoning into LLMs with GRPO and SFT.

• Design and iterate RL training environments for retrieval – unstructured, structured, web.

• Own the entire training pipeline: from training data curation to wandb.

• Run small and large model experiments – yolo runs encouraged.

• Work on next-generation vision-first embedding models.

Experience Requirements:

• 3+ years of professional software development experience.

Other Requirements:

• Strong proficiency in React.js and modern JavaScript/TypeScript.

• Experience with backend technologies (Java, Node.js, Python, or similar).

• Experience with Data Engineering and AI tools

• Solid understanding of REST APIs and/or GraphQL.

• Familiarity with cloud platforms (AWS, GCP, or Azure).

Responsibilities:

• Develop and maintain full-stack applications with a focus on frontend React development.

• Collaborate with product managers and designers to create user-friendly interfaces for complex data applications.

• Design, build, and scale backend services and APIs that support a SaaS environment.

• Ensure high performance, security, and reliability of the application.

• Contribute to architectural decisions and participate in code reviews.

Education Requirements:

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

Experience Requirements:

• 4–7 years of professional full-stack development experience.

Other Requirements:

• Proficiency in JavaScript (ES6+), HTML5, CSS3, and modern frontend frameworks such as React, Angular, or Vue.js.

• Strong backend expertise in Java, Spring Boot, or equivalent frameworks for building RESTful services.

• Hands-on experience with PostgreSQL (or other relational databases) — including schema design and performance tuning.

• Solid grasp of data structures, algorithms, and system design principles.

• Experience working in agile development environments with version control (Git).

Responsibilities:

• Design and develop scalable, maintainable, and high-performance web applications across the stack.

• Participate and contribute to Architecture and Design discussions to make key technical decisions for new modules, integrations, and system improvements.

• Build and optimize RESTful APIs, microservices, and database models supporting complex data workflows.

• Design efficient PostgreSQL schemas, ensuring data integrity, scalability, and performance.

• Collaborate with product managers, designers, and data engineers to translate product vision into robust technical solutions.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch.

Education Requirements:

• A degree in Computer Science, Electrical Engineering, or a related field.

Other Requirements:

• Proficiency in both front-end and back-end programming languages such as TypeScript, HTML, Go, and Python.

• Strong experience building custom data visualizations and interactive user interfaces.

• Hands-on experience with front-end frameworks (e.g., Vue, React, or similar) and visualization libraries such as D3.js or SVG-based tools.

• Excellent debugging, problem-solving, and collaboration skills.

• Strong communication and attention to detail.

Responsibilities:

• Work in a fast-paced environment that values innovation, diversity of talent, and technical excellence.

• Collaborate closely with Clockwork engineering teams to design, prototype, and implement end-to-end web applications and interactive visualizations that simplify complex data for network engineers and enterprise clients.

• Develop front-end interfaces using modern frameworks and back-end services that ensure performance, reliability, and scalability.

• Write clean, efficient, and maintainable code across multiple languages and layers of the stack.

• Continuously improve platform performance, usability, and design by staying current with modern technologies and development practices.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• At least 5 years of industry experience.

Other Requirements:

• Expertise in data structures, algorithms and software design.

• Designing, building and scaling large distributed systems in production.

• Service-oriented architectures and cloud technologies (AWS, GCP, Azure).

• Operating systems (e.g. threads, scheduling, process sync, kernel programming).

• Fluency in one or more languages: C, C++, Golang, Java, Python.

Responsibilities:

• Lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Experience Requirements:

• At least 5 years of experience with C/C++ systems programming

Other Requirements:

• Deep knowledge of Linux internals (e.g., system calls, memory management, kernel modules)

• Strong foundation in concurrent programming and synchronization techniques

• Strong understanding of the TCP/IP stack, socket programming, and low-latency networking (e.g., RDMA, DPDK, XDP)

• Strong understanding of memory hierarchy, CPU caches, multi-core architectures, and GPUs

• Strong skills in systems design, performance analysis, and low-level debugging

Responsibilities:

• Lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch

Experience Requirements:

• Deep experience with PyTorch and torch.distributed (c10d)

• Hands-on experience with at least one of: Megatron-LM, DeepSpeed, or FairScale

• Proficiency in Python and Linux shell scripting

• Experience with multi-node GPU clusters using Slurm, Kubernetes, or similar

• Strong understanding of NCCL, collective communication, and GPU topology

Other Requirements:

• Familiarity with debugging tools and techniques for distributed systems.

• Experience scaling LLM training across 8+ GPUs and multiple nodes

• Knowledge of tensor, pipeline, and data parallelism

• Familiarity with containerized training environments (Docker, Singularity)

• Exposure to HPC environments or cloud GPU infrastructure

Responsibilities:

• Develop and support distributed PyTorch training jobs using torch.distributed / c10d

• Integrate and maintain frameworks like Megatron-LM, DeepSpeed, and related LLM training stacks

• Diagnose and resolve distributed training issues (e.g., NCCL hangs, OOM, checkpoint corruption)

• Optimize performance across communication, I/O, and memory bottlenecks

• Implement fault tolerance, checkpointing, and recovery mechanisms for long-running jobs

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• Catered lunches.

• A friendly and inclusive workplace culture.

Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• Experience designing, building and deploying large-scale distributed systems.

Other Requirements:

• Fluency in at least one of the following languages: C, C++, Golang, Java, Python.

• Excellent communication skills.

• Excellent debugging and problem solving skills.

• Operating systems expertise (e.g. threads, scheduling, process sync, kernel programming).

• Computer networks expertise (e.g. networking stacks and protocols, queuing theory, congestion control).

Responsibilities:

• Use your coding skills and distributed system knowledge to contribute directly to the design and build of high performance, reliable and scalable systems.