Senior AI Engineer (+BE)
Posted 13 days ago · 0 applicants
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The role in plain words
- M.Sc. in Computer Science, Engineering, or a related field
- At least 5 years of hands-on experience with Python
- Hands-on experience building and deploying models in production
- Experience developing AI agents and agentic workflows
- Familiarity with frameworks like PyTorch / TensorFlow
- Experience with MLOps tools (MLflow, Kubeflow, W&B)
- Familiarity with vector databases (Pinecone, Weaviate, FAISS)
- Experience with fine-tuning and model optimization
- Experience with multi-agent frameworks (LangGraph, CrewAI, AutoGen)
- Familiarity with Kubernetes and CI/CD
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceAI Engineer (+ BE) – (based in Carmiel )
Advanced Cybersecurity & Privacy Systems
AICY - Under the radar, building systems that address real cybersecurity problems, with real customers already in place.
* The hiring process is exclusively managed by Kinettica (Kinettica is a boutique firm that is building adaptive structures that scale smarter).
About us (we are still under radar)
We are a spin-off startup built out of real-world cybersecurity execution.
We’re building AI-driven products based on years of hands-on work across security operations, risk, incidents, and compliance, turning complex, real-world workflows into scalable systems with measurable impact.
We’re looking for a strong AI Developer to join the core team building the next generation of cybersecurity and privacy products for enterprise organizations and critical infrastructures.
This is a hands-on role with direct influence on architecture, product direction, and technical innovation.
What You'll Do
• Design, develop, and deploy AI systems in production
• Build LLM-based applications - RAG, agents, chatbots, and more
• Develop AI agents and agentic workflows from concept to production
• Design and implement orchestration layers for multi-step, multi-agent systems
• Develop and maintain ML pipelines for training, evaluation, and deployment
• Optimize for performance, latency, and cost
• Implement observability, tracing, and evaluation using tools like LangSmith / Langfuse
• Collaborate closely with data scientists, software engineers, and product teams
• Monitor models in production and ensure reliability and accuracy over time
What We're Looking For
• M.Sc. in Computer Science, Engineering, or a related field
• At least 5 years of hands-on experience with Python
• Hands-on experience building and deploying models in production
• Experience developing AI agents and agentic workflows
• Familiarity with frameworks like PyTorch / TensorFlow
• Experience with LLMs and tools such as LangChain, LlamaIndex, or Hugging Face
• Experience with orchestration of LLM/agent pipelines
• Familiarity with LLM observability and evaluation tools (LangSmith, Langfuse)
• Understanding of APIs, microservices, and software engineering principles
• Experience with cloud (AWS / GCP / Azure) and Docker
Significant Advantage
• Experience with MLOps tools (MLflow, Kubeflow, W&B)
• Background in cybersecurity or information security
• Familiarity with vector databases (Pinecone, Weaviate, FAISS)
• Experience with fine-tuning and model optimization
• Experience with multi-agent frameworks (LangGraph, CrewAI, AutoGen)
• Familiarity with Kubernetes and CI/CD
Why this role
• Opportunity to build products at the intersection of AI, cybersecurity, and real-world operations
• Direct influence on architecture, product, and customer impact
• Work alongside a highly experienced, high-caliber team
• Fast-moving environment with complex technical challenges
• Exposure to large-scale enterprise environments and critical workflows
Hybrid role – based in Carmiel
📩 Send your profile to: keren@kinettica.io & Feel free to text me: 053-7307625
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- M.Sc. in Computer Science, Engineering, or a related field, At least 5 years of hands-on experience with Python, Hands-on experience building and deploying models in production, Experience developing AI agents and agentic workflows, Familiarity with frameworks like PyTorch / TensorFlow