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We are seeking an experienced Generative AI Engineer to join our AI squad. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation:
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation:
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment

We are looking for an AI & Data Consultant to join our growing practice
About the job
In this role, you will work with leading Israeli and global organizations, helping them define and implement AI-driven business and technology strategies. You will combine consulting, innovation, and technology expertise to drive AI adoption, digital transformation, and data-driven decision-making.
What you'll do:
Lead and support AI transformation and digital strategy projects.
Translate business needs and AI opportunities into clear functional and technical requirements, solution concepts, and actionable implementation plans.
Analyze business challenges and identify AI, GenAI, and data-driven opportunities.
Develop AI roadmaps, business cases, and strategic recommendations.
Conduct AI maturity assessments and technology evaluations.
Facilitate workshops and collaborate with business and technology stakeholders.
Stay up to date with emerging AI technologies, trends, and best practices.

What will you do:
Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems.
Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks.
Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically.
Participate in the ongoing development of our AI capabilities, pushing the boundaries of automated security risk assessments.
Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders.

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.

We are looking for a highly driven and experienced AI Engineer Team Leader to manage and mentor a core team of engineers while remaining 50% hands-on. In this critical role, you will lead the development of our enterprise Agentic AI platform, blending deep technical expertise in AI agent development with strong engineering leadership.
As a Team Leader, you will drive the technical agenda, plan sprints, and collaborate closely with Product Managers and cross-functional partners to turn powerful capabilities into reliable, safe, and fast product experiences. You must thrive in a high-pressure, dynamic startup environment characterized by a fast pace and frequent pivots, ensuring your team remains focused, agile, and aligned with business goals while executing at the highest level.
You won't just manage - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily, and iteration in front of enterprise customers.
Responsibilities
Team Leadership & Management (50%): Manage, mentor, and grow a team of AI and software engineers. Oversee task allocation, sprint planning, and daily agile ceremonies.
Hands-On Engineering (50%): Actively code, design, and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Technical Strategy & Architecture: Drive the technical agenda, architecture decisions, and best practices for developing scalable, LLM-driven applications grounded in our knowledge graph.
System Integration: Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Production Excellence: Build evaluation harnesses, guardrails, and safety/bias checks. Optimize agents for latency, cost, and reliability at enterprise scale. Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Cross-Functional Collaboration: Work intimately with Product Management, Data, and Design teams to translate customer needs into agent capabilities, define roadmaps, and prioritize tasks.
Agility & Execution: Lead the team through frequent pivots and rapid development cycles, ensuring high-quality delivery under pressure in a fast-paced startup environment.

What You Will be Doing
Own the strategy and roadmap for C2As AI strategy within R&D and AI agents specifically,
Lead the AI adoption effort technically within the product and across the organization as the company learns how to become more efficient with AI usage for R&D.
Design and build MCP servers that expose our APIs as well-described, reliably usable tools for AI clients.
Build the AI decision layer - the prompting, tool schemas, and agentic logic that let a model select the right API, pass the right parameters, and recover gracefully from errors.
Implement complete, production-grade features end to end: backend services, data models, APIs, and the AI integration on top, not prototypes.
Define how AI-accessible APIs are scoped, authenticated, and permissioned, so an agent can only ever do what it is authorized to do. Security is the product, this matters.
Build evaluation and observability for the AI layer: measure tool-selection accuracy, catch regressions, and trace agent behavior in production.
Set engineering standards and mentor others as the effort grows into a team.
Implement new features required by our cybersecurity product.

Reequired AI Researcher
Responsibilities
Design, implement, and train state-of-the-art neural network architectures for robotic applications, including large multimodal models (vision, language, sensor data) and generative models.
Architect and maintain scalable deep learning frameworks for training on massive, real-world robot datasets.
Develop and implement cutting-edge techniques in areas such as imitation learning, reinforcement learning, self-supervised learning, and video-based models.
Own the full machine learning lifecycle: define data collection and labeling strategies, build high-throughput data pipelines, and establish robust evaluation and deployment protocols.
Collaborate closely with software, hardware, and controls teams to integrate and test your models on physical robots.
Leverage and contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration.

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment - you will go from reading papers to shipping production systems. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions.
A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.
Responsibilities:
Own the research-to-deployment cycle for predictive driving models - from literature review and prototyping through to production integration
Design, implement, and iterate on real-time predictive models, including vision-language models, motion prediction models, and inverse reinforcement learning approaches (e.g., imitation learning, reward recovery)
Collaborate on higher-level reasoning systems, contributing to vision-language-action models that handle complex edge cases and long-horizon planning
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar

Required AI Engineer
About us:
We are an early-stage construction technology startup creating an AI platform for subcontractors. Our platform transforms construction documents into actionable insights to streamline workflows, improve collaboration, and automate deliverables creation.
Key Responsibilities:
Develop state-of-the-art ML applications using LLMs and computer vision
Design end-to-end web application features and AI workflows
Collaborate with co-founders on requirements and software solutions for construction
Stay current with emerging technologies.

Required Research Engineer, Agents
About us:
We transform trade contractors' knowledge, documents, and workflows into AI-powered systems - so projects run the way their best people would. We're building agents that read drawings, ground claims in spec paragraphs, and orchestrate real workflows across Procore, Autodesk, and the project document library.
Key Responsibilities:
Design and ship agent architectures that solve real construction workflows: RFI drafting, submittal compliance, schedule Q&A, pay-app validation
Build evaluation pipelines and domain-specific test sets from real customer projects
Push the boundaries of long-context retrieval and multi-document grounding
Work directly with customers - superintendents, estimators, project managers - to validate and refine
Own a workflow end-to-end, from research idea to production rollout.

Required Senior AI Growth Builder
Description
About Us:
We are bootstrapped and has been profitable since day one. We built one of the most efficient programmatic acquisition engines on the planet: processing billions of ad decisions a day, generating terabytes of live behavioral data, and turning it into margins most SaaS companies would kill for.
At the core of that engine is a team of data scientists and ML engineers running tens of billions of sub-second predictions a day, deciding in milliseconds which impression is worth buying and what its worth.
Now were taking everything weve learned about how people move through the web and putting it into our most innovative consumer product yet: Ace AI, an AI-native browser already reaching millions of people, built to simplify and improve everyday online life with the help of AI.
This is a rare opportunity: a category that hasnt meaningfully changed in over a decade, and a profitable company with the data and the acquisition engine to win it on its own terms.
Come build it with us.
What Youll Do:
Take Full Strategic & Operational Ownership: Drive end-to-end user acquisition, onboarding, and retention initiatives from strategy through hands-on AI-first execution.
Architect Scalable AI Systems & Automations: Design and deploy automated pipelines, interactive webs, custom scripts, and AI-driven workflows (using tools like Claude Code, Cursor, Replit, or custom APIs) to solve distribution and growth challenges without relying on core engineering.
Lead Advanced Experimentation & Funnel Optimization: Formulate hypotheses, configure, and run rapid A/B tests across the entire marketing and product funnel to continuously optimize acquisition, activation, and retention metrics.
Build Sub-Products & Growth Experiences: Initiate, plan, develop, and monitor sub-products, landing pages, and interactive user experiences directly within the growth domain.

We're looking for a AI Product Builder to help define the next chapter of the browser - someone who ships their own prototypes, holds strong opinions on craft, and doesn't wait to be told where to start. You'll own a product area end-to-end: frame the opportunity, build the prototype that sells it, ship the experience alongside design and engineering, and measure how it lands.
Your work will shape how people move through the web every day.
What You'll Do:
Own product areas end-to-end, from discovery through post-launch iteration.
Turn ambiguous opportunities into opinionated proposals, backed by research, data and working prototypes.
Prototype the experience yourself - in Cursor, Claude, Figma, or whatever gets an idea into something people can feel.
Partner with and ship alongside design and engineering, from kickoff to polish.
Monitor performance post-launch and make the call on what comes next.

Required AI Growth Builder
Description
About Us:
We are bootstrapped and has been profitable since day one. We built one of the most efficient programmatic acquisition engines on the planet: processing billions of ad decisions a day, generating terabytes of live behavioral data, and turning it into margins most SaaS companies would kill for.
At the core of that engine is a team of data scientists and ML engineers running tens of billions of sub-second predictions a day, deciding in milliseconds which impression is worth buying and what its worth.
Now were taking everything weve learned about how people move through the web and putting it into our most innovative consumer product yet: Ace AI, an AI-native browser already reaching millions of people, built to simplify and improve everyday online life with the help of AI.
This is a rare opportunity: a category that hasnt meaningfully changed in over a decade, and a profitable company with the data and the acquisition engine to win it on its own terms.
Come build it with us.
What Youll Do:
Take full responsibility for growth: lead user acquisition projects from strategy through execution, using AI as your main working environment.
Configure and run A/B tests across the marketing funnel within your scope and analyze performance to drive a continuous improvement feedback loop.
Create your own growth levers: build scrapers, automations, and custom AI workflows to solve distribution challenges.
Initiate, plan, develop, and monitor sub-products and experiences within the product without relying on developers.

Landa is looking for a hands-on Head of AI Transformation to drive AI adoption across the company. This is first a builder role , with the opportunity to grow into a broader strategic and leadership role as Landa's AI capabilities expand. You will work directly with organizational teams (Sales, Marketing, Finance, Operations, Service, R&D, HR, and IT) to identify opportunities, understand and redesign processes, and personally build, prototype, and deploy AI solutions that deliver measurable business impact. Y ou will lead initiatives across the organization, combining strong technical capabilities with business understanding and the ability to influence and execute in a matrix environment. Beyond individual projects, you will help shape Landa's AI strategy, roadmap, priorities, and investments. As successful solutions scale, you will establish the capabilities, operating model, and team needed to drive AI transformation across the company.

Responsibilities:
Identify and prioritize high-impact AI and automation opportunities. Personally build, prototype, configure, and deploy AI solutions, agents, workflows, and automations. Lead initiatives end to end, from business need to implementation, adoption, and measurement. Work hands-on with teams to analyze and improve business processes. Lead cross-functional initiatives without direct authority, bringing together the right people and capabilities from across the organization. Define and evolve the AI roadmap, translating business priorities into initiatives and aligning priorities, plans, and investments with leadership. Establish scalable AI capabilities across the organization and, over time, recruit and lead a dedicated team to expand Landa's ability to deliver AI solutions.