דרושים » תוכנה » Senior Backend & LLM Applications Developer

Required Senior LLM Applications Developer
About the Role;
As a Senior LLM Applications Developer, youll design and integrate Large Language Models (LLMs), agentic AI, and AI agents into production at scale. Youll architect backend systems, optimize prompts, and lead technical decisions that define how AI powers our caregiving platform. Beyond coding, youll mentor the team and pioneer new agent-driven AI capabilities that drive our mission forward.
What Youll Do:
Design and develop backend services for AI-driven applications
Architect and optimize prompts for LLMs in production
Integrate AI/LLM models into scalable, secure, cloud-based systems
Collaborate with AI, Product, and Data teams to deliver impactful features
Mentor developers and set best practices in backend engineering
Explore new AI models and tools, leading adoption into production.

We are seeking a skilled Senior Backend Engineer to join our team and help us build our company Cognition, a multi-agent AI platform. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs
Implement integrations with AI platforms and services
Work with AI specialists to translate AI capabilities into production-ready features
Ensure high reliability, performance, and security of AI-powered systems
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for a talented Senior Backend Developer to join our team and help build the next generation of our global SaaS platform. You will work on designing and implementing scalable backend services, microservices architecture, and cloud-based solutions that power our enterprise-grade applications. This is an opportunity to work with modern technologies, solve complex problems, and deliver solutions that impact thousands of organizations worldwide.
Develop and maintain backend services using Node.js, Express, and modern frameworks.
Design, build, and optimize RESTful and GraphQL APIs for seamless integration with frontend applications and external services.
Develop and integrate AI agents and services utilizing Large Language Models (LLMs) within the backend architecture.
Architect and enhance microservices for high performance, reliability, and scalability.
Work with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and implement efficient data access patterns.
Collaborate closely with Product, Frontend, and DevOps teams to deliver secure, robust, and scalable solutions.
Deploy, monitor, and maintain Node.js services in cloud environments such as AWS (including Docker/Kubernetes).
Ensure high code quality through automated testing, peer reviews, and adherence to best practices in secure coding.
Participate in system architecture design and contribute to ongoing process and technology improvements.

Required Senior Backend Engineer - Platform Group
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Million users. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
Come and be you with us:
Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
Vibe Engineering: AI-Assisted Development & Productivity
We believe that modern developers leverage state-of-the-art dev tools to maximize engineering efficiency.
The ideal candidate is experienced with AI-assisted development workflows, leveraging tools such as GitHub Copilot, Cursor, or similar LLM-based environments to rapidly prototype, debug, and evolve complex systems.
You should be comfortable translating ambiguous problem statements into iterative prompts, guiding AI agents to generate high-quality, maintainable code while applying strong engineering judgment. The role requires an ability to blend traditional software engineering practices with modern AI tooling-using automation, code generation, and conversational development to accelerate delivery without compromising architecture, reliability, or security.
What will you do?
As a Backend Engineer on the Platform/Infra team, youll have a key role in designing, building, and maintaining the core services, infrastructure, and tools that enable all feature teams to build and scale their microservices reliably and efficiently.

Required Senior Backend Engineer- Routing Data
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

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.

we are looking for a Senior Backend Software Engineer.
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
JR316760

Were looking for a Backend AI Engineer to own and build our agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.

As a Senior Backend Engineer in our Copilot team, 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:
What you'll be doing:
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.