AI Engineer

LightrunTel Aviv

SeniorRemoteFull-timeAI & ML

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Confirmed open at the employer 22 hours ago · Posted 7 months ago

Listing published by its original source and linked back to it. The employer did not pay Jobsworm for this listing.

232-day-old posting. Listings this old are often already filled — check the source before you spend time on it.

Requirements

pythontypescriptmachine learningjavac#node.jsc++llmgenairagfine-tuningprompt engineering

Nice to have

observability

Job description

At Lightrun, we’re closing the gap between AI-generated code and real-world runtime behavior. Our platform restores the critical verification loop in enterprise environments by enabling safe, real-time observability - logs, metrics, and traces injected on demand into live systems - so engineers and AI agents can validate assumptions where code actually runs.Backed by Accel and Insight Partners, and trusted by leaders like Microsoft, Salesforce, Citi, and SAP, Lightrun is building the runtime foundation for the next era of agentic software development.

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.

We are looking for an AI Engineer to join the hunt.

Responsibilities:

Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

Requirements:

At least 3 years experience in Python / TS working with AI/ML frameworks
At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++)
At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector)
Proven experience with writing efficient and useful LLM prompts
Proven experience building LLM-based solutions and integrating them into products
Strong system and architecture design skills, particularly in designing LLM based systems
Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering
Hands-on experience with cloud platforms and their AI/LLM services
Experience working on a SaaS product - Advantage
Experience working with customers and direct customers feedback - Advantage
Experience using observability / profiling / remote debugging tools - Advantage
Passionate about AI and up to date with industry trends - Advantage

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