דרושים » AI » Generative AI Engineer

Requirements:
Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Hands-on experience working with large language models (e.g., GPT, LLaMA, Claude) for code generation or workflow automation.
Strong coding skills in Python or a similar language, with the ability to integrate AI outputs into backend or frontend systems.
Familiarity with testing methodologies and frameworks, including unit, integration, and regression testing.
Excellent analytical, problem-solving, and communication skills.
Nice-to-Have
Prior experience with AI-assisted development tools or IDE integrations.
Knowledge of prompt-engineering best practices, including bias mitigation and output evaluation metrics.
Familiarity with model performance metrics such as functional correctness, ROUGE, or BLEU.

Requirements:
Requirements:
3+ years of experience in applying AI to practical and comprehensive technology solutions.
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more a big advantage.
Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules.
Experience contributing to the architecture and design (architecture, design patterns, reliability, and scale) of new and current systems.
Excellent problem-solving and analytical skills.
Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval an advantage.
Excellent interpersonal skills, team player with strong communication skills.
Academic degree in Computer Science or equivalent.

Certifications:
AWS Machine Learning Specialty (Strongly Preferred).
AWS Solutions Architect - Associate (Strongly Preferred).
AWS Solutions Architect - Professional (Preferred).

Requirements:
Deep understanding and hands-on experience with data lake architecture, real-time and batch processing.
Familiarity with tools like Spark, Kafka, Databricks, and SQL.
Experience designing systems powered by LLMs (e.g., OpenAI, Anthropic).
Skilled in Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, and LLM orchestration frameworks (e.g., , LangGraph, OpenAI Agents SDK).
Understanding of multi-agent design, memory, tool-use orchestration, and autonomous reasoning agents.
3+ years of Python development experience in production environments.
Proficiency with Git, CI/CD practices, and deploying data/ML pipelines at scale.
Experience maintaining scalable, reliable ML/AI workflows in cloud-native environments.
Background in cybersecurity, threat intelligence, or exposure to security-focused data models - advantage
Strong grasp of non-functional requirements: performance, reliability, scalability, observability. And awareness of COGS optimization and FinOps practices in SaaS data systems - advantage

Requirements:
5+ years of hands-on experience in Java (must)
Experience with Microservices architecture
Proven experience in building high-scale services
Experience with SQL and NoSQL database systems (MySQL, Aurora, MongoDB, Redis, etc.)
Familiarity with AWS Cloud and Kubernetes (advantage)
Experience with Queuing technologies like Kafka and RabbitMQ (advantage)
Strong understanding of developer testing (unit, component, integration, and e2e tests)
Experience in Financial industries - FinTech (strong advantage)
Independent, responsible, and communicative, thriving in a hybrid work mode
A team player with a strong sense of ownership and a can-do attitude
Experience using or developing products based on AI technologies and LLMs an advantage

Requirements:
A degree in Computer Science, Engineering, or a related field
5+ years of experience
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.
Python programming and bash scripting experience.
Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
Ways to stand out from the crowd:
Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Background with RDMA (InfiniBand or RoCE) fabrics.

Requirements:
We are looking for a strong backend engineer who enjoys exploring new areas and solving complex system -level challenges. This role is ideal for someone curious, independent, and excited to work with a wide range of technologies. If you enjoy building reliable systems, care about performance and scalability, and have a constant desire to learnwe want to meet you. Our mission is to build robust, scalable, and efficient infrastructure to deliver our product faster, safer, and smarter. Responsibilities:
Lead the design and development of scalable, high-performance backend systems critical to the core product
Take full ownership of complex infrastructure components from concept to production, ensuring reliability, observability, and maintainability
Dive deep into new technologies and system areas, evaluate and integrate them to solve infrastructure and product challenges
Promote engineering excellence by setting high standards for code quality, testing, documentation, and design reviews
Act as a senior Developer within the team: mentoring others, contributing to architecture discussions, and supporting the technical growth of the team
Collaborate cross-functionally with Product, DevOps, Security, and QA to align backend work with business needs
Investigate and resolve production issues, customer escalations, and performance bottlenecks proactively
Help shape the teams technical roadmap and long-term strategy through strategic input and hands-on contribution Requirements:
7+ years of hands-on experience in backend software development
Solid understanding of backend architecture and scalable service design
Proficiency in at least one of the following: Go,.NET or Python
Experience designing and building cloud-native applications
Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines
Strong sense of ownership with ability to lead features end-to-end
Excellent communication and collaboration skills, especially cross-functionally
Experience mentoring or supporting developers is a plus

Requirements:
Qualifications:
Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field.
Strong proficiency in Python (object-oriented and scripting) with practical experience using Pytest.
Proven experience writing and maintaining unit, integration, and regression tests as part of agile development workflows.
Hands-on experience with CI/CD pipelines, Jenkins, Docker, and Git.
Strong problem-solving skills and ability to debug complex integration issues.
Experience working in cross-functional engineering environments (development, QA, DevOps, hardware).

Preferred Skills & Knowledge:
Experience with Selenium for UI automation.
Familiarity with RF testing and measurement techniques (e.g., VSGs, SAs, calibration).
Knowledge of monitoring and logging tools (e.g., ELK) for test infrastructure.

Requirements:
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of professional software engineering experience, with a strong track record of delivering production-grade distributed systems.
Deep expertise in Kubernetes, including cluster architecture, workload orchestration, and security hardening e.g. RBAC, Workload Identity, Container Runtime Security.
Hands-on experience with containers (Docker) and container orchestration platforms (AKS, EKS, GKE).

Preferred:
Proficiency in one or more programming languages such as Go, C++, C, Python, or Java.
Experience building and operating cloud-native services on Azure or other public cloud platforms.
Strong understanding of site reliability engineering (SRE) principles, including observability, incident response, and automation.
Ability to work effectively with cross-functional teams and manage multiple priorities.

Requirements:
5+ years of experience in a DevOps, Cloud Engineering, or Infrastructure role, with demonstrated success managing and scaling production-grade systems on cloud platforms.
Proven hands-on coding experience in Python or TypeScript, particularly in the context of infrastructure automation, cloud tooling, or platform engineering.
Experience with Docker and/or Kubernetes.
Solid experience with Pulumi (preferred) or equivalent IaC tools such as Terraform or CloudFormation, with a strong willingness to work primarily with Pulumi.
Practical experience designing, deploying, and managing AWS Landing Zones, including multi-account strategies, security baselines, centralized logging, and governance models.
Strong knowledge of CI/CD pipelines and automation workflows using tools such as GitHub Actions, GitLab CI, CircleCI, or similar.
Deep understanding of core AWS services, including EC2, ECS, Lambda, VPC, IAM, RDS, CloudFront, S3, and Route 53.
Experience with networking fundamentals in AWS: VPC design, subnets, routing tables, NAT gateways, security groups, NACLs etc.
Strong grasp of IAM and security best practices: role and policy design, secrets management, least privilege enforcement, and cloud identity governance.
Familiarity with observability tools (e.g., CloudWatch, Datadog, Prometheus, Grafana) for monitoring, logging, and incident response.
Comfortable working in a fast-paced, collaborative team environment, with a high level of ownership, accountability, and adaptability.

Requirements:
* BSc in Software Engineering, Computer Science or equivalent must.
* Foundational knowledge in Object-Oriented Programming (OOP) - must
* At least 2 years of experience in C and C ++ programming must
* Proficiency in Python programming must
* Proficiency in using modern development tools and version control systems (e.g., Git, Docker) advantage
* Familiarity with CMake and build systems advantage
* Strong analytical and problem-solving skills.
We recognize its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance.