לוח משרות דרושים NLP/Machine Learning בתל אביב יפו

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.

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

The ML Detection team is a new, cross-functional team at the core of our product strategy. Its mission is to own and advance the machine learning-based validations that form the foundation of our accessibility testing solutions. This includes everything from data collection and research to deploying, monitoring, and maintaining models in production. You will lead a multidisciplinary team of Data Scientists, ML/Data Engineers, and Algorithm Developers to build foundational models and standalone validations that extend the reach and precision of our products, giving Evinced a critical competitive edge.

Your Impact:

Lead, mentor, and grow a multidisciplinary team of Data Scientists, ML Engineers, and Algorithm Developers, fostering a culture of trust, collaboration, and professional growth.
Own the end-to-end delivery of ML-based detection capabilities, from initial research and data collection to model deployment, monitoring, and algorithmic post-processing.
Provide hands-on leadership, actively contributing to technical solutions, architecture, and design reviews for new algorithms and models.
Collaborate closely with Product, DevOps, and R&D teams to align on priorities, manage integrations, and ensure efficient, impactful development cycles.
Architect and oversee the development of the infrastructure required for the entire ML lifecycle, including data management, experimentation platforms, and model deployment/monitoring systems.
Define and refine team processes, tools, and methodologies to optimize performance, quality, and stability, ensuring data science tasks have clear definitions of done.
Drive the strategic vision for the evolution of our detection capabilities, including UI patterns, interactive elements and accessibility issues, to meet current and future needs.
Act as the primary problem solver and technical resource for the team, guiding them through complex research and engineering challenges.

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do.:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are seeking a Senior Product Manager to help drive the vision, strategy, and execution of our Fintech product offerings. Our solutions are transforming how businesses manage financial operations and ERP connectivity, with a focus on seamless user experiences, automation, and AI-powered efficiencies.
In this role, you will own critical product initiatives within the Fintech domain, working cross-functionally to deliver innovative, high-impact features. Youll collaborate with teams across the Bay Area and Israel and report directly to the Director of Fintech Product.
What You Will Do:
Define and execute product features and roadmap items that support the broader product strategy and company goals.
Manage fintech integrations and partnerships, ensuring seamless operations from validation through execution and ongoing operation.
Drive Product-Led Growth initiatives to enhance customer adoption, retention, and revenue generation.
Leverage AI-driven technologies and data-driven insights to innovate, improve user experience, and reduce operational friction.
Partner with engineering, design, data, and customer-facing teams to ensure timely delivery and successful product outcomes.
Serve as the product domain expert, clearly communicating vision, progress, and outcomes to stakeholders.
Serve as the voice of the customer in all product decisions, advocating for delightful, intuitive user experiences.