לוח משרות דרושים הייטק AI

we are looking for an AI Evangelist to lead the transition of our R&D organization to AI driven development and SDLC. The goal is to continuously help our developers and engineering roles use AI coding tools as well as develop AI based agents to optimized the development experience and velocity, applying the new AI based development methodologies across our our global R&D organization. Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers  run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity
Train the trainer- collaborate with the AI Champions in R&D to build joint knowledge in the organization so that they will be able to distribute it to their teams.
Build backlog for AI Champions on specific tools and sharable deliveries that the entire organization can benefit from, and be responsible to track the adoption of those tools and practices.

Were seeking a visionary and technically hands-on AI Team Leader to join Alison.ai and take charge of driving innovation across our core AI systems. As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform.
You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We are seeking a highly skilled and motivated Backend Engineer with a Generative AI orientation to join our Infra team.

We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line.

This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic.

As a Backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance.

Responsibilities:

Develop and maintain a centralized microservice that handles all AI model interactions.
Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
Define and enforce best practices for model governance, security, and compliance.

Required ERP and GenAI Tech Specialist
Realize your potential by joining the leading performance-driven advertising company!
As our ERP & GenAI Tech Specialist in the Tel Aviv office, youll be a key player in our Information Systems team, driving innovation across finance systems through technology and AI. Youll collaborate with global finance teams to understand their processes, identify optimization opportunities, and design scalable, GenAI-powered solutions. With your strong technical and analytical background, youll shape and maintain our Finance applications landscape while promoting automation and process excellence. This is a hands-on role for someone passionate about using technology to solve real business challenges and deliver measurable impact.
How youll make an impact:
Work closely with global finance users to understand their processes, challenges, and goals.
Become proficient with our global ecosystem of Finance ERP & FP&A (NetSuite is an advantage)
Design and develop custom solutions including GenAI powered solutions on NetSuite, Google platform and other business application platforms to meet finance requirements.
Integrate business applications, GenAI systems, APIs and third-party tools.
Collaborate with project managers, business analysts, and developers to ensure the successful delivery of projects.
Continuously learn and keep up-to-date with advancements in GenAI, tools and technologies.

Were seeking a Senior Data Product Manager to lead the evolution of Sensis care intelligence platform. This role bridges data science, product, and customer value - turning our unique, real-world care data into actionable insights and scalable products.

Youll collaborate across teams - with data scientists, engineers, clinical experts, GTM, and customers - to bring new data-driven capabilities from ideation to market impact.



What Youll Do

Own the data product roadmap from concept to launch, ensuring every initiative ties to clear customer and business value.
Work closely with the data science team to define requirements, guide model development, and validate detections and insights.
Define acceptance criteria and KPIs for AI and ML-driven features, ensuring accuracy, reliability, and clinical relevance.
Collaborate cross-functionally with engineering, product, clinical, and GTM teams to operationalize data and algorithms into usable, high-impact features.
Validate and iterate with customers, incorporating feedback to continuously improve insight quality and usability.
Identify new opportunities to leverage Sensis proprietary data for innovative, high-value use cases.
Drive measurable outcomes by tracking post-launch adoption, accuracy, and business impact.

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

As an LLM Applications Developer, youll design and implement backend applications that integrate LLMs, agentic AI, and third-party AI services into production. Youll engineer prompts, build scalable systems and AI agents, and collaborate closely with R&D and Product teams to deliver high-impact AI features.



Key Responsibilities

Develop backend services that integrate LLMs and AI tools into production
Engineer and optimize prompts for performance and accuracy
Build scalable, reliable cloud-based solutions (AWS)
Collaborate with R&D and Product on technical design and delivery
Research and experiment with new AI models and tools

We are seeking an experienced Backend Engineer to join Evinced and play a key role in evolving our GenAI-driven products that expose and deliver capabilities to customers.

In this role, you will design, implement, and maintain high-quality backend services that power AI-based interfaces such as MCP, Slack/VS Code chatbots, agents, and additional automation tools, ensuring seamless access to tools and features.

You will be responsible for building reliable and scalable systems that enable developers and accessibility experts to easily leverage technology and gain actionable insights for improving the accessibility of their code.

Your Impact:

Research and implement industry-leading technologies into our technology stack.
Design and implement scalable solutions to enhance the product architecture.
Plan and execute complex, distributed, large-scale software delivery systems.
Monitor and optimize all aspects of product performance.
Troubleshoot issues across various services and functional areas.

Required Al Builder - Performance
About the role (overview)
As part of our Business Technologies & AI organization, youll build and ship AI agents and workflows that drive measurable impact on our internal core business processesand then own their performance over time.
Using our AI Gateway, Custom GPTs, and low-code/no-code tooling, youll orchestrate prebuilt actions, design robust prompts, and wire data flows across systems like Salesforce, Snowflake, Gong, ERP, and internal toolswithout writing low-level API code.
You will also treat AI agents like a real workforce: defining how they are onboarded, measured, evaluated, and improved. Youll build the operating model, metrics, and evaluation solutions that keep our AI ecosystem powerful, safe, and cost-effective.
1) AI Solution Design & Development
Rapidly build, test, and deploy AI agents using the AI Gateway, Custom GPTs, and low/no-code tools.
Design scalable, secure, and reliable workflows with strong prompt patterns, evals, and canary tests.
Define new actions with Platform/Integrations when needed; ensure every agent has clear I/O, purpose, and a KPI.
2) Orchestration, Data, & Operations
Configure and chain actions; handle mapping, preprocessing, errors, retries, and safe context assembly.
Use managed auth/secrets with least-privilege access and data minimization.
Write SQL for retrieval context, routing rules, golden sets, and performance queries.
Integrate logs, BI, and admin tools into a single operational view.
3) Performance, Quality & Evaluation
Define and track core metrics: usage, adoption, accuracy, cost, time saved, revenue impact.
Build dashboards, scorecards, leaderboards, and automated alerts (health, anomalies, regressions).
Maintain evaluation frameworks and pipelines (golden sets, scenarios, automated checks).

Required Software Engineer - Al Platform
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 Milion users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
What this role is really about
Were building our internal AI Platform as a foundation that enables safe, scalable, and cost‑effective AI across the company. Our mission is to support internal business units in becoming more productive and driving business growth. As a Software Engineer on Business Innovation (Internal), youll develop high‑leverage platform capabilities used by Product, Customer Success, Sales, Operations, Data, and IT. Youll work across the entire stack, from APIs and services to data and UI. transforming business requi
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic workflows - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimization systems -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.
Ship the internal AI portal - Build user-facing products that democratize AI access: prompt directories, agent designers, templates, approval workflows, and more.
Ensure security and compliance - Develop RBAC, data classification, PII redaction, audit logging, and policy enforcement.
Create robust integrations - Connect the platform with Salesforce, NetSuite, Slack, Snowflake, HRIS, and other critical business systems.
Establish operational excellence - Implement CI/CD, testing strategies, monitoring/tracing, and SLOs for high-reliability services.
Enable developers - build SDKs, CLIs, and templates that help teams create safe, scalable AI workflows. Lead technical discussions and write design documentation.

We are looking for an AI Specialist to explore and implement practical AI solutions that drive smarter decisions, automate workflows, and unlock new opportunities for our business.
Youll be the person who transforms curiosity into impact testing tools, integrating technologies, and guiding how AI can bring real value to our teams and operations.
In this role, your responsibilities will Include, but wont be limited to:
AI Exploration & Implementation:
- Identify opportunities where AI can improve processes and decision-making.
- Explore, test, and integrate AI tools and technologies into workflows.
- Create proof-of-concepts and small-scale pilots to demonstrate value quickly.
Data & Insights:
- Work with large datasets to uncover patterns, trends, and actionable insights.
- Translate business needs into simple, clear AI solutions that solve real problems.
- Document processes and learnings so teams can build on your work.
Optimization & Support:
- Monitor and maintain AI tools and workflows to ensure they consistently deliver results.
- Troubleshoot issues and refine solutions to improve efficiency and accuracy.
- Stay up to date with emerging AI trends and bring new ideas to the team.

We are looking for a Product Manager - AI.
What You Will Do
Define success metrics: Define and implement KPIs to track progress toward desired outcomes.
Represent the voice of the customer in the design, AI research, and development processes, with a deep understanding of users mindset, needs, and pain points.
Deliver AI-enabled experiences to transform how procurement and finance teams work.
Partner cross-functionally to ensure that product improvements realize their full potential and impact.
Use data to inform decisions: Collaborate with data scientists and analysts to transform raw data into insights and high impact decisions.

Were looking for someone who can deep dive technically, run experiments, build PoCs quickly, and work closely with R&D to evaluate options and shape our direction.
This is an ideal opportunity to kickstart your career as part of a Product team while keeping a very hands-on approach.
What Youll Work On:
Technical & Product Research:
Explore new static analysis approaches, parsing techniques, and AST improvements.
Deep dive into languages, compilers, frameworks and how they map to our SAST/AST engine.
Identify opportunities to improve precision, performance, data flow, variable resolution, and cross-file logic.
Investigate emerging languages, frameworks specificity and new code vulnerability patterns.
Understand how modern development ecosystems affect scanning and detection.
Evaluate where AI can assist in tasks like rule generation or semantic reasoning.

We are seeking a AI Engineer to join our Data Department. In this role, you will be at the core of our mission to transform data into intelligent, automated, and predictive capabilities, ensuring that our business teams can make smarter, faster, and more impactful decisions.
As an AI Engineer, you will be responsible for designing, building AI solutions that serve internal stakeholders across BI, Sales, Operations, Finance, and Marketing.
You will focus on embedding AI models and automation into our data ecosystemparticularly within our Looker BI platformto enhance decision intelligence, operational efficiency, and business performance.
This role requires a strong mix of machine learning expertise, data engineering knowledge, and cross-functional collaboration. You will partner closely with data engineers, BI developers, and data product managers to translate business requirements into reliable, production-ready AI applications that deliver measurable impact across.
If you are passionate about building applied AI systems that transform how teams use data to make decisions in a global, data-driven environment, this opportunity is for you.
What will you do?
As an AI Engineer, you will design, deliver, and scale AI-driven solutions that power our data products and insights.
You will partner with engineers, analysts, and business stakeholders to develop machine learning models and data pipelines that bring automation and intelligence to the heart of our operations.
Your responsibilities will include:
Identify high-impact opportunities for automation, forecasting, and optimization using advanced ML and generative AI techniques.
Ensure AI models follow our governance and quality standards, focusing on scalability, explainability, and sustainability.
Model Development & Delivery
Collaborate with data engineers to ensure robust data flows and architecture in BigQuery and other cloud-based environments.
Integrate AI outputs from semantic layers and analytics tools to democratize access to intelligent insights.
Measure and track model performance, gather stakeholder feedback, and iterate to drive continuous improvement.
Promote responsible AI adoption across data teams by providing guidance, training, and documentation.
Contribute to a culture of data innovation and collaboration within the Data Department.

abra is seeking for an experienced AI Engineer We are looking for an engineer to join the infrastructure team and lead the development of systems around Large Language Models (LLM) – in an advanced, stable, and pleasant technological environment. The role includes:
* Building smart, measurable, and secure production infrastructures.
* Developing and deploying end-to-end LLM services, including construction and optimization.
* Working with MCP and exposing tools.
* Collaborating closely with Product, Data, and DevOps teams, including writing clean code and performing CI/CD tests. Full-time position, Sunday to Thursday, located in Haifa.