דרושים » תוכנה » Senior Back End Engineer (ML/CV)

we are revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.
From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, were building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.
The Role
Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
What Youll Do
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex features-from concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with quality-writing clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

Join our fast growing team, and help put the power of automation in the hands of every security professional.
About the Role:
As a Senior Platform Engineer (Backend), you will play a key role in shaping the core infrastructure and architecture of our platform. You will be deeply involved in hands-on development, contribute to technical design, and help drive engineering excellence. In this role, you will collaborate with other engineers, share best practices, and take part in building scalable, high-quality backend systems.
Your responsibilities:
Design, develop, and test cloud-native microservices and backend components with high standards of scalability, reliability, and security
Own key areas of the platform's infrastructure and contribute to the architecture of enterprise-grade systems
Collaborate with engineering and product teams to translate business needs into robust technical solutions
Work across a modern tech stack including cloud services, Linux, Docker, Kubernetes, and CI/CD pipelines
Drive best practices in code quality, system design, observability (logs, metrics, tracing), and testing
Stay up to date with emerging technologies and help evaluate tools that support platform evolution
Share knowledge through code reviews and technical discussions, fostering a culture of continuous improvement

As a Senior Software Engineer, you will play a key role in developing and maintaining Nodes Access platform, including its applications, services, and underlying systems. Youll work with a modern backend tech stack, leveraging AI, microservices, databases, Kubernetes, Ansible, CI/CD, and more to build scalable and resilient solutions.
You will be responsible or:
Implementing an AI framework to manage and orchestrate a fleet of services and blockchain RPC nodes, and building AI agents for enhanced platform capabilities.
Implementing modern BE applications and infrastructure in a microservices architecture, utilizing common networking protocols, object-oriented design, and cutting-edge techniques - while leveraging work with AI Agents and Skills.
Establishing a modern CI/CD pipeline in a microservices architecture, using best practices, tools, and techniques.
Ensuring the robustness and maintainability of our BE services and the overall application.
Collaborating effectively with other developers, engineers and other roles, while also showcasing independent problem-solving abilities.
Demonstrating a strong command of the blockchains ecosystem in high-load scenarios while staying updated with the latest technologies and practices.
Dive deep into the latest blockchains, seamlessly incorporate them into our product, and become an expert in the fundamentals, protocols and features of the blockchains.
Ensuring that platform remains at the forefront of blockchain technology!

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale

we are looking for a Senior Backend Engineer.
As a Senior Backend Engineer, you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.
Your responsibilities:
Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework-particularly in AI technologies, LLM frameworks and cloud infrastructure, including containerized environments like Kubernetes and Docker.
Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.

We are looking for a Senior Backend Engineer to join our Legal Tech engineering team and help build the next generation of AI-driven litigation ecosystem. This role combines top-tier backend engineering, cloud architecture, and cutting-edge LLM/AI innovation.

Youll build high-scale, secure, multi-tenant services that turn our real-time transcription engine into AI-powered workflows and assistants used by legal teams. The role offers real ownership and chances to lead initiatives, while giving you space to grow your skills in AI development and modern dev-AI tools-all within a supportive, collaborative team.

This is a role for heart-and-soul players with passion, curiosity, and a desire to build something meaningful as part of a strong and mission-driven team.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity
As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.
Your Chain of Impact:
Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

Were hiring a ML Engineer to accelerate AI-driven innovation across our B2B SaaS platform.

Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.

What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.
What Youll Do:
Youll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:
Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
Building secure backup and disaster recovery mechanisms for cryptographic material
Hardening systems against adversarial conditions and real-world attack vectors
Optimizing performance-critical components that execute complex operations