AI Engineer

1 day ago

Kfar Saba Center District, Israel WaveBL Full time ₪120,000 - ₪180,000 per year

We are looking for a
Senior AI Software Engineer
to join our R&D group and help design and implement our next-generation
AI-driven data and intelligence platform
.

This role is ideal for a senior engineer who thrives at the intersection of
software engineering, data pipelines, and applied AI
— someone who can bridge solid backend foundations with practical experience in modern AI systems.

You'll lead efforts to integrate and operationalize
existing open-source and commercial AI models
, evaluate their performance, and optimize their cost and accuracy in production environments.

What You'll Do

  • Design and build scalable data pipelines
    to gather, prepare, and serve data for AI workflows — including evaluation, fine-tuning, and retrieval pipelines.
  • Integrate and operationalize LLMs and multimodal models
    , focusing on applying and adapting
    existing open-source or commercial models
    rather than building from scratch.
  • Conduct
    error analysis, model evaluation, and cost/performance optimization
    to ensure production readiness and efficiency.
  • Develop and maintain backend services (primarily in
    Java
    and
    Python
    ) that power AI-driven features and automate data processing.
  • Implement
    retrieval-augmented generation (RAG)
    and
    information retrieval
    pipelines to enhance system intelligence.
  • Apply
    prompt engineering
    , validation, and A/B testing to improve system output quality.
  • Collaborate with product and engineering teams to
    turn AI capabilities into end-user features
    with measurable impact.
  • Stay current with
    emerging AI trends and tools
    , driving innovation and adoption across the company.

What We're Looking For

  • 7+ years of hands-on software engineering experience
    , including system design and production-grade development.
  • B.Sc. in Computer Science or Software Engineering
    (M.Sc. a plus).
  • Strong proficiency in
    Java
    and
    Python
    .
  • Experience in
    cloud environments
    (AWS, GCP, or Azure).
  • Hands-on experience with
    Kafka
    ,
    SQL
    , and
    NoSQL
    databases.
  • Familiarity with
    machine learning fundamentals
    ,
    NLP
    ,
    information retrieval
    , and
    RAG architectures
    .
  • Experience building
    data pipelines
    for training, evaluation, or experimentation.
  • Proven ability to conduct
    prompt optimization, model evaluation, and cost-aware experimentation
    .
  • Self-driven mindset and curiosity to explore new tools, frameworks, and approaches in applied AI.

Nice to Have

  • Fluency with AI‑assisted development (GitHub Copilot, Cursor, JetBrains AI) and experience defining org‑wide usage guidelines.
  • Experience with multi‑model routing, tool‑use/agents, and safety classifiers/guardrails.
  • Knowledge of model optimization techniques (quantization, distillation) and GPU/accelerator stacks.

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