דרושים » תוכנה » Software Engineer - Al Platform

Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
4+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.

Requirements:
6+ years of experience as an AI Researcher, Data Scientist or Machine Learning Engineer in data-intensive or product environments
Proven experience in building LLM based solutions, including prompt engineering, embeddings, vector DBs, orchestration frameworks, LangChain, RAG & AI agents
Proven track record of delivering AI-driven features to production, including evaluation, monitoring and optimization.
Proficient in Python, modern microservices and the AWS environment
Excellent analytical and problem-solving skills, with a data-driven and product-oriented mindset.
Hands-on experience with AI for code use cases: code generation & completion, test generation, code review and summarization etc.
Strong communication and collaboration abilities across technical and non-technical teams.

Requirements:
3+ years of experience in software development, preferably in infrastructure, orchestration, or systems software.
Strong proficiency in Python, including experience with backend or orchestration frameworks.
Familiarity with datacenter or cloud infrastructure, including networking, compute, or storage systems.
Experience with containers and orchestration platforms (Docker, Kubernetes).
Solid understanding of software engineering principles, including design patterns, testing, and CI/CD.
Strong collaboration and communication skills, with the ability to work in a multidisciplinary environment.
Preferred Qualifications
Exposure to AI workloads and GPU ecosystems (ROCm, RCCL, PyTorch, TensorFlow).
Experience with distributed systems, control-plane software, or cluster management frameworks.
Familiarity with REST/gRPC APIs, microservices, and cloud-native architectures.
Background in monitoring, telemetry, or resource scheduling systems.
Practical experience in full-stack development (React, Angular, Node.js, or equivalent).
Experience with test automation frameworks (pytest, Robot Framework, etc.).

Requirements:
8+ years of experience in backend or full-stack development for large-scale, cloud-based systems.
2+ years of hands-on experience with Python (FastAPI, Flask, or similar frameworks).
Proven experience working in AWS environments, building and operating production-grade systems.
Strong understanding of distributed systems, scalability, and multi-tenant architectures.
Proficiency with relational databases (PostgreSQL, MySQL, or Aurora) and data modeling.
Experience with asynchronous processing, message queues (SQS, Kafka, etc.), and event-driven design.
Familiarity with CI/CD pipelines, containers, and orchestration (Docker, Kubernetes).
Excellent communication and teamwork skills, able to work effectively across engineering disciplines.

Requirements:
5+ years of experience as a Data Engineer.
Strong programming skills in Python and SQL, with a focus on clean, maintainable, production-grade code.
Proven experience building data pipelines with Airflow.
Hands-on experience with modern analytical databases
Experience working with cloud platforms.
Solid knowledge of data modeling, database design, and performance optimization.
Strong problem-solving abilities, analytical mindset, and attention to detail.
Experience working in production-grade environments.
Excellent communication and collaboration skills.
Familiarity with modern CI/CD, observability, and infrastructure-as-code practices.
Experience with Kubernetes, Docker, and Terraform.

Requirements:
Bachelors or masters degree in computer science, Data Science, or a closely related discipline.
Over 5 years of experience in software development and/or MLOps.
Strong proficiency in programming languages such as Python, Java, C++.
Deep understanding of cloud services architecture and the ability to create real-world applications that include telemetry, authentication, authorization, and security standard methodologies.
Proven track record of leading complex software projects from concept to delivery.
A "can do" attitude with exceptional problem-solving skills and the ability to thrive in fast-paced environments..
Strong problem-solving skills and ability to solve and resolve sophisticated issues in a timely manner.
Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.
Attention to detail and a focus on quality, ensuring robustness and reliability in production ML systems.
Experience with Kubernetes architecture and management is a plus.
Ways to stand out from the crowd:
Exude high energy and a positive attitude.
Stellar verbal and written communication skills.
Passionate about data science and implementation.
Have data science and GPU performance experience.
Want to make what was impossible possible!

Requirements:
2+ years of hands-on experience designing, training, and deploying machine-learning models
M.Sc. or higher in Computer Science / Mathematics / Statistics or equivalent from a university, or B.Sc. with strong hands-on ML experience
Practical experience with Natural Language Processing (NLP) and LLMs
Experience with data acquisition, data cleaning, and data pipelines
A passion for building products and helping people, both customers and colleagues
All-around team player, fast, self-learning individual
Nice to have:
3+ years of development experience with a passion for excellence
Experience building AI coding assistants, code reasoning models, or dev-focused LLM agents.
Familiarity with RAG, function-calling, and tool-using LLMs.
Knowledge of model optimizations (quantization, distillation, LoRA, pruning).
Startup or product-driven ML experience, especially in high-scale, latency-sensitive environments.
Contributions to open-source AI or developer tools.

Requirements:
4+ years of experience as a Backend Engineer, with at least 1-2 years working on payment systems, billing, or fintech applications.
B.Sc in Computer Science, Software Engineering, or a related field from a well-known university.
Proven expertise in backend server development, using languages like Python, Scala, Go, or Java.
Hands-on experience integrating with payment providers (Stripe, PayPal, etc.) and understanding of payment flows.
Solid understanding of system design principles, API architecture, and service-oriented architectures.
Proficiency with AWS services and cloud-based architectures.
Excellent communication skills for collaborating across engineering, product, finance, and operations teams.

Requirements:
4+ years of experience in software engineering (Python, Node.js, Go, or similar).
Hands-on experience working with Generative AI tools or agent frameworks.
A bias for action and experimentation - comfortable moving fast from idea to prototype.
Strong collaboration and communication skills across technical and non-technical teams.
Bonus: We are looking for innovators, people with creative minds who like to take their ideas to production
Bonus: Experience in Python is an advantage
Bonus: experience with automation platforms, internal tooling, or integrating AI into developer workflows.

Requirements:
?What makes you a great fit Must-haves
* Bachelor’s degree in Computer Science or equivalent. 3+ years as a frontend engineer with Angular and TypeScript Deep understanding of Angular and how it works end-to-end, plus strong RxJS fundamentals.
* Ability to write performant, high-quality code in a complex codebase.
*  Experience building component libraries/design systems (e.g., Tailwind + Storybook
* Solid testing habits and a quality-first mindset. Nice-to-haves
*  PrimeNG experience; Nx monorepos.
*  Familiarity with modern Angular patterns and performance profiling.
*  Web security awareness (e.g., OWASP MAS context).
*  CI/CD experience and feature-flag driven development. Hiring signals we value
* A portfolio, Storybook, or GitHub showing reusable component APIs and design-system work.
* Brief write-ups or PRs explaining architecture decisions you’ve made in Angular apps.
*  Evidence of performance-minded development and thoughtful testing/documentation. About the Company: Appdome's 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 Appdome, 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 Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 2 billion mobile end users projected. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.