לוח משרות דרושים הייטק AI

We are looking for a Backend Prompt Engineer with 4+ years of backend experience and proven hands on delivery of GenAI powered features in production environments.

This is not a research or experimentation role. Prompt engineering in our company is system design. You will design reliable, scalable, production ready LLM workflows that power real customer facing capabilities inside a complex distributed platform.

You will work closely with backend engineers, product managers, and architects to integrate LLM based intelligence into core business flows.

Location: Kfar Saba, Israel.

Reporting to: AI Team Lead.

Roles and Responsibilities
Design, implement, and continuously improve prompts for LLM driven product features.
Architect and develop backend services in Python.
Integrate LLM APIs such as OpenAI, Anthropic, and AWS Bedrock into production systems.
Implement structured output enforcement, schema validation, and response normalization.
Design robust error handling, fallback strategies, retries, and resiliency mechanisms.
Optimize latency, token usage, throughput, and API cost efficiency.
Build evaluation frameworks and quality control pipelines for AI outputs.
Collaborate with Product and Engineering teams to deliver AI features end to end within us.

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

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.

This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.



Responsibilities:

Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team.
What You Will Do:
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.

We move fast, leverage AI in every work aspect, and are customer obsessed, as we continue building a product that helps our customers grow better with CLG, generate value daily, and save time.
About the role
Were looking for an execution-focused Product Manager to own initiatives end-to-end within a complex B2B SaaS platform.
The role combines product thinking with hands-on execution: from writing requirements and aligning teams, to prototyping and occasionally shipping changes directly to production using AI-assisted tools.
This role is designed for people who want responsibility, speed, and the ability to build, not just plan.
What Youll Do
Own product initiatives from kickoff through post-release.
Translate customer and internal input into clear, actionable product requirements.
Align engineering, design, and stakeholders on scope, tradeoffs, implementation details and delivery decisions.
Own feature rollout, enablement, and activation with CS.
Build deep understanding of customer personas, use cases, and desired outcomes by running direct customer conversations, joining onboarding and support sessions.
Take hands-on ownership of features post-launch, becoming the internal product SME through customer adoption and successful use cases.
Build & ship smaller product changes directly when needed using Cursor and AI-assisted tools (weve shipped 80+ features without developer involvement, to date).

abra R&D is looking for an AI Engineer! abra R&D is looking for an AI Engineer to help build a next-generation agentic analytics platform, the first real-time database optimized for AI agents at scale. This role focuses on building LLM?powered agents- with a strong emphasis on TypeScript. In this role, you’ll develop agents that perform analytics-oriented tasks, connect to LLMs via a wrapper/SDK/API, and ship robust, production?ready capabilities where the LLM is the core of the system. What You’ll Do
* Build and ship LLM agents in TypeScript end?to?end (logic, workflows, integrations, and supporting services).
* Integrate agents with an LLM wrapper / SDK / API and embed them into product and platform flows.
* Implement and iterate on prompts and agent instructions when needed to improve output quality (nice to have; not mandatory).
* Develop agents that support analytics use cases (e.g., reasoning over data, generating insights, orchestrating tool calls).
* Work closely with engineering and product teams to deliver reliable, maintainable, production?grade agent behavior.

abra R&D is looking for a AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do:
* Design, develop, and deploy AI and machine learning models into production systems
* Build scalable AI services that operate on large-scale and real-time data
* Implement deep learning and machine learning solutions using modern frameworks
* Integrate AI models into end-to-end product flows and backend systems
* Collaborate closely with software engineers and AI teams to deliver production-ready solutions
* Optimize model performance, reliability, and scalability in real-world environments
* Develop and maintain data pipelines and model-serving infrastructure
* Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities

As an AI Engineer on our team, you will own end to end development of systems and products, using AI intensively at every stage from architecture trough production.
You'll combine deep systems thinking with hands on technical excellence, collaborating closely with product, UX, and Data teams to turn business goals into scalable, production grade solutions.
This is an AI native role. We are looking for engineers who already work in a vibe coding workflow where AI tools are a core part of your daily development routine.

At our company, we build AI-powered vision systems that enhance safety and decision-making for some of the worlds largest vessels.
Our platform processes live video streams from multiple onboard cameras to provide real-time situational awareness, detecting and tracking marine objects, even in low visibility and highly congested environments. These systems directly support navigational decisions and help prevent collisions, reduce human error, and improve operational efficiency.
Our systems are already deployed across thousands of vessels and have processed hundreds of millions of nautical miles of real-world data, operating in unpredictable and safety-critical conditions.
This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.
This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.
What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server)
Take models from research and turn them into production-ready, reliable components deployed on vessels
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew)
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems
Define and maintain clear interfaces between research code and production systems
Work closely with research and backend teams to integrate new models into production systems
Continuously improve system efficiency and reliability under hardware and runtime constraints.

our company, a software development company specializing in sophisticated e-commerce solutions, is looking for a motivated, talented, and skilled AI Officer. Our clients include leading brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli, and more. This is a unique opportunity to showcase your talent, work with advanced technologies, collaborate with amazing colleagues, and support major customers.
Responsibilities:

* Monitor AI tools usage across the organization on an ongoing basis
* Ensure compliance with internal policies, procedures, and applicable AI regulations
* Review and approve requests for AI tool usage according to defined criteria
* Identify deviations, risks, and compliance gaps, and recommend corrective actions

Were looking for an AI Product Manager who loves building early, testing fast, and turning ambiguous ideas into real, testable experiences.
This role is all about rapid prototyping: sometimes with low-code tools, sometimes with a quick Python script or an AI agent chain - always focused on learning fast and delivering value. Youll collaborate deeply with design and engineering to validate concepts before they reach production, and help shape what we ultimately ship.
Were on a mission to save the world - one bee at a time.
With bee populations in global decline, we develop next-generation solutions at the intersection of software, AI, robotics, and environmental science to protect pollinators and preserve biodiversity.
Were a team of engineers, scientists, and innovators using technology for good - building the future of sustainable agriculture.
If you're passionate about AI-driven products, excited to work on applications that solve real-world challenges, and eager to drive innovation end-to-end, wed love to meet you.
What You'll Do?
Define and execute product vision and strategy aligned with business and user needs
Translate deep user research and market insight into intuitive, high-value user experiences.
Lead hands-on discovery: define hypotheses, prototype, test with users, and iterate quickly
Translate complex or ambiguous ideas into rapid, functional high quality product prototypes
Build and explore AI-driven workflows using tools like Claude Code, Cursor, Gemini, Windsurf, and agent-based setups
Create prototypes that reflect strong UX thinking and strong engineering foundations
Partner with designers to shape intuitive user flows and interaction patterns
Work with engineers to ensure a smooth, high-quality handoff from prototype to production
Define success metrics for prototypes and early features, and use them to guide decisions
Drive 0→1 product decisions and contribute to the roadmap.

We’re seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across Earnix to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, you’ll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What You’ll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. You’ll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices , leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically , hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Required Machine Learning Engineer - AI Coding Agents & LLM Infrastructure
Tel Aviv
Full-time
A bit about us:
We are redefining how software gets built. Trusted by over 1M+ developers, we build AI-first developer experiences powered by state-of-the-art coding agents and code reasoning models. With support for 30+ programming languages and 15+ IDEs, our platform is pushing the limits of LLM-based software engineering - enabling teams to design, write, review, and ship code faster than ever. Were committed to advancing code-native AI models, multi-agent systems, agent orchestration frameworks, memory, and autonomous dev tooling to empower developers at every step of the software lifecycle.
Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

We're looking for a passionate and ambitious Product Manager to help shape the future of AI. You'll play a crucial role in translating Apollo's advanced capabilities into market-ready products and features.

## **What You'll Do:**

- Lead product strategy and innovation, bridging the gap between Apollo's technical capabilities and market needs
- Define product roadmaps and prioritize features that leverage Apollo's unique neuro-symbolic architecture
- Collaborate with research, engineering, and business teams to bring AI-powered products to market
- Gather and analyze user feedback to continuously improve our products
- Stay abreast of AI industry trends and competitive landscape
- Become an expert in Apollo's capabilities, including fine-tuning for agents and tool use

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams