דרושים » תוכנה » Senior Back End Engineer (AI First)

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

Were looking for a Full Stack Engineer who enjoys building end-to-end systems in fast-moving environments. Youll work across backend services, frontend applications, and AI-integrated workflows to shape the foundation of our companys AI-powered platform.
The AI Application Foundation team is responsible for the core platform powering our companys next-generation AI applications and agentic systems. We build the infrastructure, developer tooling, orchestration layers, and user-facing experiences that transform advanced AI capabilities into production-grade cybersecurity products.
If you enjoy owning features from architecture to production, care deeply about developer and user experience, and want to work on meaningful AI infrastructure at scale- this role is for you.
Responsibilities
Design and build full-stack applications powering AI-driven cybersecurity workflows
Develop scalable backend services, APIs, and orchestration layers for applications and agent systems
Build intuitive frontend experiences for complex workflows, data exploration, and operational tooling
Collaborate with AI and platform engineers to integrate LLMs, retrieval systems, and agent capabilities into production applications
Own features end-to-end, from technical design and implementation to deployment, monitoring, and ongoing improvement
Improve platform reliability, observability, and performance across frontend and backend systems
Contribute to engineering standards, architecture reviews, testing practices, and CI/CD workflows
Work closely with Product and Design teams to rapidly iterate on new AI product experiences.

Were looking for a Senior Backend Engineer to join our growing team.
Responsibilities:
Design and build scalable backend services and APIs that power open security platform.
Develop serverless architectures on AWS, focusing on reliability, performance, and scalability.
Collaborate closely with product and security teams to translate requirements into clean, effective technical solutions.
Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion best practices around code quality, documentation, observability, and security-by-design.
Contribute to technical discussions and share knowledge with teammates on backend architecture, cloud infrastructure, and development best practices.

A defense-tech startup, building an AI-powered autonomous systems that connect cameras, sensors, and natural-language interfaces, is looking for a Senior Backend Engineer, to take full ownership of high-performance, low-latency backend systems, design scalable infrastructure, and help shape the core architecture of the platform in a hands-on, early-stage environment.
Responsibilities:
Design and build scalable backend services for real-time systems
Develop data pipelines for video streams, camera networks, and AI outputs
Own backend architecture (APIs, databases, infrastructure, observability)
Build low-latency, high-performance distributed systems
Work closely with ML, product, and infrastructure teams
Maintain production infrastructure using Docker, Kubernetes, CI/CD
Improve system performance and reliability end-to-end

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.

What youll do:

High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.

End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.

Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.

Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.

AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.

Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.

Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering our AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at our company use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

As a Backend xEngineer, youll design and own the core systems that impact millions of users, working with an AI-native focus to craft high-performance backend architectures and scalable, reliable platforms. In your day-to-day, you will:
Design and own end-to-end backend systems and features that impact millions of users
Focus on backend architecture and system design, making thoughtful trade-offs around scalability, reliability, security, and maintainability
Take full ownership from data models and APIs to production systems and distributed architectures
Use AI as an integral part of your daily work-for planning, design, execution and production, while ensuring AI-assisted outputs meet the highest production standards
Work with modern technologies (e.g., Java, Scala, Node.js, Cloud, and CI/CD) while continuously evolving your toolkit with AI-powered tools
Collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health.

we are looking for a talented Senior Software Engineer
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry

We're building our company's Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the company ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the company platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We're looking for a Software Engineer with strong backend and cloud expertise to join our AI team. You'll design and build backend systems that integrate Generative AI capabilities, contributing across the stack from API development to cloud deployment.
This role is ideal for someone who thinks in systems, loves solving complex problems, and can go deep into implementation details while keeping the big picture in mind. You'll work closely with our team lead on architectural decisions and take ownership of project delivery.
Key Responsibilities
Systems Design & Development
Design and build complete backend systems APIs, databases, queues, authentication, and integrations
Develop Python services with strong focus on code quality, performance, and reliability
Design solutions that scale across different client environments (cloud and on-prem)
AI Integration
Integrate LLMs (Multi Agents Systems) and GenAI capabilities into production systems
Build orchestration layers and workflows that combine AI with traditional backend logic
Optimize AI system performance, cost, and reliability
Cloud & Infrastructure
Deploy and manage systems across major cloud platforms (GCP, Azure, AWS)
Work with cloud-native services, databases, and infrastructure tools
work with production systems, monitoring, and operational health
Collaboration & Delivery
Communicate with client development teams, DevOps, and business stakeholders
Guide frontend developers on API contracts and integration requirements
Contribute to technical decisions and solution design within the team
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance.