דרושים » AI » Gen-AI Engineer

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
* 5+ years of experience as a backend Engineer or similar role, specifically building and operating production-grade, scaled APIs and microservices.
* Experience with Generative AI concepts and Large Language Models (LLMs).
* Proven self-learner with the ability to quickly grasp new technologies and complex domains.
* Hands-on experience with Kubernetes (K8s) and cloud platforms (AWS, GCP).
* Experience with CI/CD pipelines and integrating automated tests
* Proven ability to solve complex technical problems and make data -driven decisions.
* Excellent communication and collaboration skills, with a track record of working effectively in a team-oriented environment.
* Hands-on experience with observability tools such as Prometheus, OpenTelemetry etc. Bonus Points:
* Familiarity with Go programming language.
* Experience working within an Infrastructure or Core Engineering team.
* Experience with LLM orchestration frameworks like LangChain.
* Familiarity with prompt engineering, prompt optimization techniques, and managing system prompts.

Requirements:
Msc. in Computer Sciences / Software Engineering from a leading university.
4+ years of experience of software development, with a focus on algorithms design and validation.
Experience designing and building AI-driven systems utilizing LLMs, and other solutions.
Familiarity with LLM-based patterns such as RAG, Agentic-workflows, production level prompt-engineering.
A passion for exploring new ideas using the latest ML, DL, and Gen-AI solutions.
Great communication, interpersonal and problem solving skills.

Requirements:
Msc. in Computer Sciences / Software Engineering from a leading university.
6+ years of experience of software development, with a focus on algorithms design and validation.
Experience designing and building AI-driven systems utilizing LLMs, and other solutions.
Familiarity with LLM-based patterns such as RAG, Agentic-workflows, production level prompt-engineering.
A passion for exploring new ideas using the latest ML, DL, and Gen-AI solutions.
Great communication, interpersonal and problem solving skills.

Requirements:
B.Sc. in Computer Science or a related field.
5+ years of experience in backend software development, including system design and architecture.
Proficiency in at least one backend programming language (We write in Go).
Strong understanding of microservices architecture, RESTful APIs, and relational databases.
Deep familiarity with Kubernetes and the cloud-native ecosystem.
Demonstrated ability to tackle complex technical challenges and deliver high-quality solutions.
Ways to stand out from the crowd:
Expertise in Kubernetes internals and advanced cloud-native technologies.
Hands-on experience with HPC or AI/ML platforms.
Familiarity with AI inference workloads and performance optimization.
Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

Requirements:
2+ years of experience as an AI engineer or applied ML engineer working with LLMs (e.g. OpenAI, Claude, Mistral, etc.).
Proven experience with LangChain and/or LangGraph to build real-world AI agents or workflows.
Proficiency in Python/Type script, with hands-on experience in LLM frameworks and orchestration tools.
Experience designing and deploying autonomous agents, memory modules, and tool-using systems.
Familiarity with vector databases (FAISS, Pinecone, Weaviate, etc.) and knowledge retrieval systems.
Solid understanding of NLP workflows, prompt engineering, and tokenization strategies.
Experience with RESTful APIs and backend data integration.
Strong debugging, problem-solving, and architectural design skills.
Experience with Typescript, especially in AI agent or tool integration.
Prior experience deploying AI in production systems.
Familiarity with MLOps and CI/CD pipelines for AI-based applications.
Experience working with cloud platforms (AWS / GCP, or Azure).
MSc in Machine Learning, Computer Science, or a related technical field.

Requirements:
4+ years of hands-on software development experience with a focus on AI/ML applications.
Strong proficiency in Python and experience with ML workflows and MLOps.
Familiarity with workflow orchestration tools and/or process automation tools.
Solid understanding of data integration and data-driven solution design.
Ability to work cross-functionally and interface effectively with multiple departments.
Strong initiative and problem-solving skills, with the ability to independently gather requirements and propose solutions.
Passion to AI-driven process optimization, ideally in business domains as mentioned above.
Familiarity with cloud platforms and modern AI frameworks is an advantage

Requirements:
5+ years of experience building large-scale distributed systems or platforms, preferably in ML or data-intensive environments
Proficiency in Python with strong software engineering practices, familiarity with data structures and design patterns
Deep understanding of orchestration systems (e.g., Kubernetes, Airflow, Argo) and distributed computing frameworks (e.g., Ray, Spark, Dask) and
Experience with GPU compute infrastructure, containerization (Docker), and cloud-native architectures
Proven track record of delivering production-grade infrastructure or developer platforms.
Solid grasp of ML workflows, including model training, evaluation, and inference pipelines

Requirements:
Mandatory Skills:
5+ years of experience in software engineering, with strong proficiency in Python.
Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
Strong understanding of LLMs, prompt engineering, and AI agent architectures.
Familiarity with REST APIs and integrating external data sources.
Preferred Skills:
Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
Experience with evaluating LLM performance and quality.
Familiarity with cloud environments, especially AWS.

Requirements:
Mandatory Skills:
5+ years of experience in software engineering, with strong proficiency in Python.
Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
Strong understanding of LLMs, prompt engineering, and AI agent architectures.
Familiarity with REST APIs and integrating external data sources.
Preferred Skills:
Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
Experience with evaluating LLM performance and quality.
Familiarity with cloud environments, especially AWS.