Prompt Engineer at Fullpath

Jerusalem, Jerusalem District, Israel -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Prompt Engineering, AI Agents, LLM Workflows, Collaboration, Problem Solving, Analytical Skills, Communication Skills, User Empathy, Technical Aptitude, Quality Assurance, Monitoring, Validation, Troubleshooting, JavaScript, Langchain, Gen-AI Engineering

Industry

Software Development

Description

Fullpath is a growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating new, groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we work to bring AI-powered, data-driven solutions to a quickly evolving industry.Our team at Fullpath is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we are committed to delivering value that impacts our bottom line. If you are a creative, solutions-oriented individual who is ready to put your career in drive, Fullpath is the place for you! We are seeking a Prompt Engineer to join our product team and help take our AI-powered products to the next level. In this position you will be responsible for ensuring that our LLM workflows meet the highest standards of quality, reliability, and performance and work closely with cross-functional teams. You will be responsible for designing, validating, monitoring and productionizing prompts, LLM workflows, and AI agents. The ideal candidate will possess excellent organizational and communication skills, a strong sense of ownership, and the ability to collaborate effectively with many departments and teams. Most importantly, you will be truly passionate about the practical adoption of LLMs in product development. This is a position based out of our Tel Aviv office or Jerusalem office, and will report to the LLM Team Lead What you will be responsible for Design, prototype and iterate AI agents and LLM workflows from ideation to execution. Monitor live systems (dashboards, A/B tests, validation pipelines), triage issues, and implement fixes for hallucinations and regressions. Utilize prompt and Gen-AI engineering techniques and tools such as RAG, MCPs, prompt chaining, few-shot prompting. QA and evaluate end user-facing AI output. Collaborate with stakeholders across product, marketing, CX, and R&D teams. Generate and QA background and conversational agents. Requirements Native level verbal and written English with excellent communication, presentation, and interpersonal skills. 2+ years professional experience in product or R&D department. Strong product sense and empathy towards users, customers and their needs Creative problem solver with a sense for business needs, while having some technical aptitude Growth mindset Strong analytical and troubleshooting skills with attention to detail Advantage: Hands-on experience with using LLM pipelines in a product context Experience with Langchain, n8n or similar tools JavaScript knowledge and basic understanding Writing experience, such as copywriting, personal writing, UX writing experience The top candidate will also have null Why you should join us Family-friendly environment and flexible working hours An awesome global team of forward-thinking, innovative go-getters Integrate with tech titans: work directly with APIs from Google, Facebook, Microsoft, and more Be part of a rapidly scaling company poised for the future Learning and growth opportunities within a fast-paced tech startup environment Clear career advancement path for strong performers We are committed to setting each other up for success. As a member of our team, you will work in an environment that encourages growth, initiative taking, and continuous mutual feedback in order to reach your full potential. Cibus and lots of yummy treats :-)

Responsibilities

Design, prototype, and iterate AI agents and LLM workflows from ideation to execution. Monitor live systems, triage issues, and implement fixes for hallucinations and regressions.