Commit Offshore

As an Algorithm Developer you ’ll design, implement, and optimize cutting-edge machine learning and computer vision algorithms, crafting solutions that empower farmers with real-time, actionable insights for enhanced livestock management.

What You'll Do

● Develop Real Time Animal Tracking with presentation of additional information layers 

● Develop and implement end-to-end solutions using the latest in machine learning and computer vision. 

● Craft deep learning models using Python, with frameworks like PyTorch, TensorFlow, or Keras. 

● Dene and manage data collection and annotation processes, ensuring robust training and validation of our models. 

● Work with talented cross-functional teams to seamlessly integrate your algorithms into FarmSee’s advanced monitoring systems. 

● Keep your finger on the pulse of the latest advancements in computer vision and machine learning, bringing innovative ideas into our solutions.

What You Need 

● Bachelor's degree in Computer Science, Electrical Engineering, or equivalent. 

● Minimum of 5 years of hands-on experience in Computer Vision, Machine and Deep Learning. 

● Excellent understanding of Data Science concepts and methodologies. 

● Solid understanding of classic image processing and computer vision methods. 

● Proficiency in Python and experience with popular deep learning frameworks (PyTorch, TensorFlow, Keras). 

● Ability to work independently with minimal supervision.

● Demonstrates a strong sense of accountability for tasks and outcomes. 

● Ability to write high quality code in Python, including proficiency in object-oriented programming (OOP), design patterns, and software development best practices. 

● Excellent communication and interpersonal skills, fostering effective collaboration with team members.

About the position

• Develop and design a scalable system
• Investigate new technological areas and understand them in depth through rapid self-learning
• Demonstrate strong analytical problem-solving skills to support scalable and sustainable design solutions
• Deliver high-quality solutions to our clients by adhering to software design, development, and testing best practices

Position Requirements:

• At least 3 years of experience as a Java/J2EE developer
• Experience in Relational/NoSql Distributed Databases
• Solid understanding of Messaging platforms (Kafka etc.)
• Experience with developing microservices-based architecture.
• Experience in Spring framework, Springboot, Hibernate, and In-depth knowledge of Java 8+ development
• Experience in unit testing frameworks, such as Junit, TestNG, etc.
• Experience in writing design documents for SW architecture
•  Comfortable tackling new problems and thinking outside the box
• Ability to work independently with minimum supervision and to take on additional tasks as required

Working in a scrum team

Advantages:

•  Python, Spark
• Experience with Kubernetes
• Advanced Dev Environment knowledge: Maven, GIT, Jenkins, Docker
• Experience working as a software developer in an Agile environment
• Experience in CI tools such as Jenkins
•  Working in a Linux environment

Key Responsibilities:

• Java Development: Design and develop backend services using Java and the Spring Framework (Spring Boot, Spring Cloud).
• Microservices: Architect and implement scalable microservices for high availability and performance.
• Helm & Kubernetes: Use Helm and Kubernetes for container orchestration and automated deployment.
• Production Support: Participate in the "Blender" on-call rotation (approximately once a month) to resolve production issues.
• Collaboration: Work closely with cross-functional teams to define, design, and optimize technical solutions.

Skills & Qualifications:

• Java & Spring: 5+ years of hands-on experience with Java and Spring (Spring Boot, Spring Cloud).
• Microservices: Experience building and deploying microservices in a distributed environment.
• Helm/Kubernetes: Familiarity with Helm and Kubernetes for deploying and managing applications in the cloud.
• Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• On-Call Support: Willingness to participate in the Blender on-call rotation and resolve production incidents.

Role Overview:

We are seeking a highly experienced Senior Node.js Engineer to join our growing engineering team. As a senior member of our team, you will take on a leadership role in designing, implementing, and scaling highly performant systems. You will work with cloud infrastructure, primarily AWS, and build robust microservices that support high-load, real-time applications.

You will be responsible for architecting complex systems, ensuring scalability and efficiency while also providing mentorship to junior developers. This is an exciting opportunity for a self-driven, technically versatile engineer who is comfortable working independently and thrives in a fast-paced, collaborative environment.

Key Responsibilities:

• Architecture & Design: Lead the architecture and design of high-performance, scalable, and fault-tolerant Node.js applications and microservices running in a cloud environment (primarily AWS).
• Cloud Infrastructure: Utilize AWS services such as EC2, Lambda, RDS, DynamoDB, SQS, and others to ensure that applications are highly available, secure, and performant.
• Microservices: Build and manage distributed, high-load microservices that can scale effectively and handle large volumes of concurrent traffic.
• High-Performance Systems: Optimize Node.js applications for performance under high load, ensuring minimal latency and maximum throughput.
• Multithreading: Implement advanced multithreading techniques to enhance system performance and concurrency.

• Code Quality & Best Practices: Write clean, maintainable, and efficient code while adhering to industry best practices and design patterns.

   

  Required Qualifications:

• At least 5 years of experience as a Backend Developer.
• In-depth knowledge and experience developing API’s and microservices
• Strong proficiency with JavaScript, and Knowledge of Node.js and frameworks available for it (such as Express or equivalent)
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Understanding fundamental design principles behind a scalable application
• Experience working with various data storage solutions such as Redis, MongoDB, etc.
• Experience working with Queuing solutions such as gearman, RabbitMQ, SQS, etc.
• Implementing automated testing modules and unit tests
• Proficient understanding of code versioning tools, such as Git
• Experience with cloud services such as AWS and GCP
• Experience working with Linux

• Experience with CI/CD processes

   

  Desired Qualifications:

• Containerization & Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
• Advanced Monitoring & Logging: Experience setting up advanced monitoring, logging, and alerting systems using tools such as AWS CloudWatch, Datadog, or ELK Stack.
• Security Best Practices: Understanding of secure coding practices and experience implementing security measures in cloud-based applications.

Key Responsibilities:

• Java Development: Design and develop backend services using Java and the Spring Framework (Spring Boot, Spring Cloud).
• Microservices: Architect and implement scalable microservices for high availability and performance.
• Helm & Kubernetes: Use Helm and Kubernetes for container orchestration and automated deployment.
• Production Support: Participate in the "Blender" on-call rotation (approximately once a month) to resolve production issues.
• Collaboration: Work closely with cross-functional teams to define, design, and optimize technical solutions.

Skills & Qualifications:

• Java & Spring: 5+ years of hands-on experience with Java and Spring (Spring Boot, Spring Cloud).
• Microservices: Experience building and deploying microservices in a distributed environment.
• Helm/Kubernetes: Familiarity with Helm and Kubernetes for deploying and managing applications in the cloud.
• Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• On-Call Support: Willingness to participate in the Blender on-call rotation and resolve production incidents.

Soft Skills:

• Strong problem-solving and troubleshooting skills.
• Excellent team player with effective communication and collaboration skills.
• Adaptable in a fast-paced, dynamic environment.

As a Principal Backend Engineer, you will be a technical cornerstone for our partner's engineering team. This is a hands-on role with a broad impact, where you will help guide architectural decisions, mentor other engineers, and steer the technical strategy for our core products. You will be ensuring our platform can meet ambitious future demands for scale and performance while maintaining the highest standards of quality and security.

You won't just be writing code; you'll help shape the technical vision alongside our engineering leadership team, ensuring we build the right things, the right way.
 

• Architect & Design: Lead the design and architecture of major components of our distributed, cloud-native platform, ensuring solutions are scalable, resilient, and maintainable.
• Technical Strategy: Partner with engineering leaders to define and execute the long-term technical roadmap, anticipating future needs and challenges.
• Solve Complex Problems: Tackle our most challenging technical problems, particularly around performance, scalability, operations and data processing within our high-throughput systems.
• Mentor & Lead: Act as a technical mentor and force-multiplier for the engineering team. Elevate the skills of those around you through code reviews, design discussions, and knowledge sharing.
• Drive Best Practices: Champion engineering excellence across the organization by establishing and advocating for best practices in coding, testing, security, and cloud architecture.
• Hands-On Development: Remain hands-on, contributing high-quality code for critical path features and complex infrastructure components.
   

Requirements

The Core Skills:

• Extensive experience in software engineering in a commercial environment (minimum of 10 years), with a proven track record of designing and delivering complex, large-scale distributed systems in a high growth environment.
• Deep expertise in Java and modern frameworks like Spring Boot.
• Strong proficiency with relational databases, including PostgreSQL and/or MSSQL, with a solid understanding of data modelling and query optimization.
• Hands-on experience with message brokers and event-driven architectures, specifically with Apache Kafka.
• Comprehensive knowledge of cloud platforms, with a strong preference for AWS. You should be comfortable with core services like ECS/Fargate, S3, and RDS.
• A strategic mindset with the ability to think abstractly and translate business requirements into a robust technical vision.
• Good communication and leadership skills, with a demonstrated ability to influence and mentor other engineers.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

Required Skills 

• PHP 7.4+ - Backend development 

• PostgreSQL - Database design and optimization

 • HTML5/CSS3 - Frontend development 

• Vanilla JavaScript - Client-side functionality 

• RESTful APIs - API development with JSON 

• Composer - PHP dependency management Key Technologies 

• Mapping: Leaflet.js for geographic visualization 

• Charts: Chart.js for data visualization

 • Authentication: Google OAuth integration

 • Architecture: Multi-tenant with role-based access 

• Server: Nginx + Apache environment 

Responsibilities 

• Build security dashboards and interactive maps 

• Develop RESTful APIs for security data

 • Implement secure authentication systems

 • Maintain multi-tenant architecture 

• Follow security best practices (OWASP) 

Experience 

• 3+ years PHP development 

• 2+ years PostgreSQL experience 

• Understanding of cybersecurity concepts 

• Experience with mapping/visualization libraries preferred 

• Work with Cursor 

• 2 years Python scripting ImpactWork on cutting-edge security technology that protects organizations from cyber threats while using modern web development practices.

Company building the future of industrial automation. Physical AI platform enables seamless programming of robots, controllers, and sensors, replacing hundreds of lines of code with a single command. As a core engineer, you’ll have the opportunity to shape both the product and the culture while working on challenges at the intersection of AI, robotics, and scalable cloud software.

What You'll Do:

• Design and develop core infrastructure for a complex, real-time industrial automation platform

• Take end-to-end ownership of features from conception to deployment

• Have direct impact on product direction and technical decisions as an early team member

• Build robust, scalable solutions that will power thousands of production lines

Required Experience:

• 5+ years of hands-on software engineering experience

• Full-stack proficiency with JavaScript/TypeScript (Next.js) and Python

• Experience in fast-paced, dynamic environments preferred

• Daily use of AI tools (ChatGPT, Claude, Copilot) to accelerate development

Technical skills we value:

• FastAPI, WebSockets, Python async programming

• PostgreSQL, Redis, and workflow orchestration systems

• Real-time event systems (SSE) and message queuing

• React/TypeScript with real-time data streaming

• Experience with real-time visualization and state management

• Docker containerization and microservices architecture

• Experience with scalable, distributed systems

We are waiting for your CV!

About the Role

We’re seeking a Team Lead – Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader—capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.

You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.

Key Responsibilities

• Leadership & Team Management
  • Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
  • Define and enforce coding standards, architectural patterns, and best practices.
  • Collaborate with stakeholders to translate business needs into AI-driven solutions.
  • Manage project timelines, technical risks, and team deliverables.
  • Generative AI & Prompt Engineering
    • Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
    • Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
    • Implement safeguards (guardrails, structured output validation, injection protection).
  • Architecture & Backend Development
    • Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
    • Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
    • Drive observability: tracing, logging, monitoring for LLM-powered systems.

  • Evaluation & Optimization

    • Benchmark and evaluate LLMs using custom datasets and automated testing.
    • Oversee system reliability, performance tuning, caching, and optimization.
    • Ensure solutions meet enterprise-grade standards for security and scalability.

     

    Required Skills & Qualifications

  • 5+ years of professional experience in Machine Learning / AI engineering.
  • 1–2+ years hands-on experience in Generative AI application development.
  • Proven leadership or team lead experience (mentoring, managing, or leading AI/ML engineers).
  • Strong backend engineering skills in .NET (C#), SQL, and Python.
  • Solid knowledge of LLM providers (OpenAI, Anthropic, etc.) and prompt engineering techniques.
  • Experience with RAG pipelines, AI workflows, and productionizing LLM systems.
  • Hands-on with Docker, Kubernetes, REST APIs, and Azure (AKS, ACR, containerized deployments).
  • Excellent communication skills (English, written and spoken).
  • Preferred / Nice-to-Have
  • Azure AI ecosystem: OpenAI, PromptFlow, Azure ML, AI Services.
  • Familiarity with CosmosDB, KQL, Azure Log Analytics, App Insights.
  • Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.)
  • Prompt caching, compression, and output validation strategies.
  • Redis caching for performance optimization.
  • Frontend experience with React and Next.js.

What You'll Do

• Design and develop core infrastructure for a complex, real-time industrial automation platform

• Take end-to-end ownership of features from conception to deployment

• Have direct impact on product direction and technical decisions as an early team member

• Build robust, scalable solutions that will power thousands of production lines

Required Experience

• 5+ years of hands-on software engineering experience

• Full-stack proficiency with JavaScript/TypeScript (Next.js) and Python

• Experience in fast-paced, dynamic environments preferred

• Daily use of AI tools (ChatGPT, Claude, Copilot) to accelerate development

Technical Skills We Value

Backend:

• FastAPI, WebSockets, Python async programming

• PostgreSQL, Redis, and workflow orchestration systems

• Real-time event systems (SSE) and message queuing - very important to have (not critical)

Frontend:

• React/TypeScript with real-time data streaming

• Experience with real-time visualization and state management

Infrastructure:

• Docker containerization and microservices architecture

• Experience with scalable, distributed systems

Join a global leader shaping the future of autonomous AI agents for developers. We’re an international, fast-growing company building AI-powered tools that transform coding workflows, automate repetitive tasks, and boost developer productivity worldwide.

About the Role:

As a Senior Full-Stack Engineer, you’ll work across the stack to design scalable backend systems, build high-performance UIs, and integrate AI assistants into modern development workflows. You’ll tackle challenges like parsing massive codebases, building intelligent automation, and optimizing cloud infrastructure at scale.

Tech Stack:

React, TypeScript, Python, Node.js, Postgres, Redis, AWS (extensive use of managed services)

Responsibilities:

• Architect and implement scalable backend services and APIs.
• Build intuitive, performant frontend components and IDE integrations.
• Collaborate with AI engineers to integrate intelligent automation.
• Optimize performance, reliability, and developer experience across systems.

Requirements:

• 5+ years of full-stack development experience.
• Expert in React and TypeScript with modern frontend architecture skills.
• Hands-on AWS experience and strong backend skills in Python or Node.js.
• Experience with Python - must

Nice to Have:

• Familiarity with AI-powered dev tools, CI/CD pipelines, and IaC (Terraform or Pulumi).

Why Join Us:

• Be part of a global company redefining how software is built with AI.
• Collaborate with top engineers and AI specialists worldwide.
• Solve cutting-edge challenges in a fast-paced, innovative environment.
• Enjoy a fun, international culture with endless opportunities for growth and impact.
• Full remote position.

Join our partner to build the ML systems that power actionable insights for investors everywhere. 
 

What you’ll do

• Design, train, and evaluate ML/DL models (with a strong emphasis on classical ML where appropriate) for ranking, prediction, and risk/quality signals.
• Productionize models end-to-end: data pipelines, feature stores, deployment, scaling, monitoring, and optimization.
• Collaborate with product, research, and engineering to translate financial problems into measurable ML solutions.
• Own experiment design, metrics, and A/B testing; communicate findings clearly to technical and non-technical stakeholders.

• Contribute to model governance, reproducibility, and documentation across the ML lifecycle.

   

What you’ll bring

• MS or PhD in Computer Science, Data Science, AI, or a related quantitative field.
• 4+ years building and shipping ML/DL models in production (with depth in classical ML methods).
• Expert coding in Python; hands-on with PyTorch and/or TensorFlow and common DL libraries.
• Strong foundations in linear algebra, calculus, statistics, and probability.
• Solid grasp of algorithms and data structures.
• Proficiency with Pandas, scikit-learn, and the broader Python data stack.
• Experience with model deployment, optimization, scaling, and serving.
• Excellent problem-solving, analytical, and quantitative skills.
• Hands-on experience delivering solutions in the financial domain.

• Clear, concise communicator and a collaborative team player.

   

Nice to have

• Research or applied experience in LLMs/NLP and modern machine learning.
• Work with multi-modal data (e.g., text, tabular/market data, images, audio).
• Familiarity with AWS or GCP for large-scale training/inference.
• Understanding of MLOps and production ML workflows (CI/CD for models, monitoring, model/data versioning).
• Background in information retrieval, knowledge graphs, or reasoning.

Type: Full-Time 

Location: Remote (GMT+1 / GMT+2 / GMT+3) 

Hours: 8:00 AM – 5:00 PM (European Time) 

Role Overview We are looking for a detail-oriented, analytical, and reliable team member to join our Finance & Admin team. This role is ideal for professionals with finance, accounting, or administrative experience who want to grow their skills, take ownership of financial processes, and contribute to smooth operations across the organization. 

Key Responsibilities Finance Operations 

• Manage travel-related finance activities, including trip creation, validation, transaction matching, and review. 

• Approve purchase requests in line with company policies and ensure proper documentation. 

• Support accounting tasks such as item receipts, accruals, and expense reporting. 

• Process bank and platform-based payments; review invoices and verify financial reports. 

• Track and follow up on missing receipts with employees and vendors. 

Administration & Records 

• Maintain financial records and regularly update trackers in Excel/Google Sheets. 

• Organize and manage financial and administrative documentation. • Support HR-related processes such as vacation balances and employee agreement records. 

• Manage equipment records and support operational expense tracking. 

• Collaborate cross-functionally with internal stakeholders to ensure smooth workflows. 

Requirements 

• Basic understanding of finance and accounting principles. 

• Strong proficiency in Excel and Google Sheets. 

• Excellent attention to detail with high accuracy. 

• Strong analytical thinking and organizational skills. 

• Proactive, responsible, and eager to learn. 

• Strong communication skills (written & spoken). 

• English level: B2 or higher (fluent). 

Role Overview

We’re looking for a creative, detail-obsessed GTM Engineer with rock-solid front-end fundamentals, a growth-testing mindset, and the ability to translate Figma designs into polished, high-performing pages. You’ll shape our online presence and growth experiments—from concept to execution—building landing pages, marketing experiences, and product-led growth flows. This is a high-impact, cross-functional role at the intersection of growth, product, and design—perfect for someone who thrives on autonomy, speed, and tangible results.

Who We Are

• We’re first and foremost a relationship company, which means we care about our own relationships as much as our members'.
• We believe alignment is fundamental to success when running fast as a group.
• We build thoughtfully and measure everything—data is a core pillar of our product and our AI evolution.
• We set a high professional bar and support each other through the journey.

About You

• You have expert-level HTML, CSS, and modern JavaScript skills and can architect responsive, accessible UIs without heavy frameworks.
• You are comfortable working in Figma and can make quick design tweaks and adjustments as needed (basic-plus proficiency).
• You think in user journeys and growth funnels—comfortable setting up A/B tests and interpreting the data.
• You collaborate seamlessly with designers and marketers but know how to run solo when needed.
• You have basic familiarity with Webflow (or another visual site-builder) and are confident you can reach production proficiency within a few weeks.
• You’re proactive, resourceful, and outcome-oriented—comfortable working in a fast-moving startup with changing priorities.

Key Responsibilities

• Own development of marketing pages, landing pages, and growth experiments—whether in Webflow or hand-coded when required.
• Translate Figma designs into pixel-perfect, responsive builds.
• Implement smooth UX and interactions using custom code, Webflow’s native capabilities, or lightweight animation libraries.
• Collaborate with marketing and design teams to execute fast-paced go-to-market campaigns.
• Plan, implement, and analyze A/B tests using VWO (Visual Website Optimizer) and other experimentation tools.
• Guard performance and accessibility, hitting Core Web Vitals targets across devices.
• Maintain and evolve component/class naming systems (e.g., Client-First) for scalability.
• Monitor performance and user behavior using GA4, VWO, and other analytics tools.
• Continuously improve conversion flow and UX through data-backed testing and iteration.

Required Skills & Qualifications

• 3+ years of professional front-end engineering experience with proven mastery of semantic HTML, modern CSS, and JavaScript.
• Proficiency in Figma with the ability to perform design tweaks and adjustments efficiently.
• Hands-on experience with A/B testing platforms such as VWO, Google Optimize, or similar.
• Comfort ramping up quickly on Webflow (prior projects a plus, not mandatory).
• Solid understanding of responsive design, web performance, and UX best practices.
• Experience working in fast-paced, cross-functional teams.
• Bonus: knowledge of SEO, analytics tagging plans, and CRO methodologies.

Nice-to-Have / Fast-Learn Skills

• Deep Webflow CMS modelling and multi-site management
• Advanced animation (GSAP, Three.js)

Structured data implementation & technical SEO wizardry