דרושים » הנדסה » AI Solutions Engineer

We’re looking for a AI Solutions Junior Engineer who thrives at the intersection of data, product, and client impact. In this role, you’ll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If you’re excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you. What You’ll Do
* Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
* Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
* Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
* Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
* Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
* Work with client stakeholders to provide training and enablement support.

We are looking for a technically-grounded, visionary Product Owner to lead GenAI-powered initiatives within our B2B platform. You will stand at the intersection of cutting-edge LLM technology and enterprise-scale business impact, transforming how global financial institutions handle everything from underwriting automation to complex claims intelligence.

Key Responsibilities:
AI Roadmap & Strategy: Define and own the GenAI roadmap, identifying high-value use cases like fraud detection copilots, document intelligence, and agentic underwriting.
Backlog Excellence: Own and optimize the product backlog, translating complex AI concepts into clear user stories and acceptance criteria for engineering and data science teams.
Technical Specs & Orchestration: Read and write technical specs, API contracts, and data models. Youll work closely with Development & architecture teams
Experimental Mindset: Lead lean experiments and A/B tests to validate LLM performance, managing the balance between probabilistic AI outputs and deterministic business rules.
Stakeholder Leadership: Communicate the vision and progress transparently to global stakeholders and enterprise clients, acting as the bridge between "the possible" and "the practical".

Required QA Engineer(Entry Level)
Description
A Great Opportunity for Computer Science Graduates - Join Our QA Team!
Just finished your degree in Computer Science and looking for your first step into the tech world?
At a hyper-growth SaaS company, we're looking for a passionate and detail-oriented QA Engineer (Entry Level) to join our quality assurance team.
This is your chance to enter the high-tech world and grow within a supportive, innovative environment.
What You'll Do:
Design and execute manual test cases for our products - get hands-on experience with real systems and ensure product quality from the ground up.
Collaborate closely with developers, product managers, and UX designers to detect bugs and improve the user experience.
Learn and apply professional QA methodologies - including writing test scenarios, working with QA tools, and understanding real-world product behavior.
Grow gradually into automation testing, performance testing, or other technical tracks, based on your skills and interests.