DevJobs

AI Engineer

Overview
Skills
  • C# C# ꞏ 5y
  • C++ C++ ꞏ 5y
  • Java Java ꞏ 5y
  • TypeScript TypeScript ꞏ 3y
  • Python Python ꞏ 3y
  • Node.js Node.js ꞏ 5y
  • NoSQL NoSQL ꞏ 3y
  • Vector ꞏ 3y
  • RDBMS RDBMS ꞏ 3y
  • model fine-tuning
  • system design
  • RAG
  • prompt engineering
  • agentic flows
  • model distilling
  • LLM-based solutions
  • LLM services
  • LLM prompts
  • GenAI technologies
  • context graphs
  • context awareness
  • cloud platforms
  • architecture design
  • AI
  • observability tools
  • profiling tools
  • remote debugging tools
  • SaaS
Lightrun is helping define the next era of AI-accelerated engineering by making AI adoption safe at scale. We give teams the ability to verify how AI-generated code behaves in real-world conditions, so they can ship faster without compromising reliability. This is how mission-critical systems stay operational, secure, and resilient as software velocity increases.

Founded in 2019, Lightrun is backed by Accel, Insight Partners, and Citi, and trusted by companies including Salesforce, Microsoft, SAP, and AT&T. Join us to help drive the market forward and shape how autonomous software is trusted 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 graphs, context awareness
  • 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
Lightrun