דרושים » תוכנה » AI Senior Backend Engineer

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes, they arent the only factor. If you dont have nearly enough experience, or not all the skills, wed still like to hear from you. This could be the perfect fit for you and us.
6 years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design and scalable architecture.
Experience with testing methodologies - unit-testing, TDD, mocking, etc.
Experience with relational databases like PostgreSQL, MySQL, etc.
Independent, fast learner, and excited about learning new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.
Kotlin / Scala / Java experience is a big plus.
Experience with AWS or an equivalent cloud platform is a plus.

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:
4+ years of professional software development experience, with proficiency in languages such as Python/C#/Java.

Experience in the end-to-end ML lifecycle, including model training, deployment, inferencing, and addressing the challenges of scaling AI products.

Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing.

Proven ability to design and architect complex, high-performance systems that support AI workloads.

Demonstrated experience with cloud services (e.g., AWS, GCP, Azure).

Hands-on experience with common ML frameworks like PyTorch or TensorFlow, as well as libraries like scikit-learn and time-series models (e.g., Prophet, ARIMA, LSTM).

Strong problem-solving skills and the ability to write and optimize high-performance code.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
At least 8 years of experience as a Backend Software Engineer
Proven experience with Node.js, TypeScript
Experience working with SaaS systems, microservices architecture & large-scale environments - an advantage
Passion for writing clean, SOLID and robust code
A team player with strong communication skills, but also capable of working independently
Fluent English speaker (verbal and written communication is a must)
B.Sc. in Computer Science, or military equivalent certifications.

Requirements:
5+ years of professional backend engineering experience
Strong proficiency in at least one backend programming language (Java etc)
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.).
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.

Requirements:
Leadership Experience: At least 4 years of experience leading ML teams in Natural Language Processing (NLP) or Generative AI (GenAI) domains, with a proven ability to guide teams in achieving impactful results.

LLM Expertise: Advanced knowledge and experience in managing teams developing Large Language Models (LLMs), with strong expertise in the engineering aspects of scalable LLM deployment, ensuring optimal performance and minimal latency.

Academic and Applied Background:

MSc with 6+ years of professional experience, or PhD with 4+ years of experience, applying Machine Learning to solve business challenges.

Masters, PhD, or equivalent experience in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics, etc.).

Strong advantage for candidates whose MSc or PhD thesis work is related to NLP, showcasing deep research capabilities in this field.

Requirements:
6+ years of experience in object oriented programming and infrastructure development
BSc in computer science or equivalent (please include GPA)
Strong end-to-end ownership mindset
Proven experience and strong understanding of big data systems, including hands-on work with a variety of database technologies
Proven experience as a tech leader, including mentoring and guiding of others
Production systems experience
Product driven and business oriented
Strong analytical skills
Fearlessness to dive into what you dont know
Passion for solving complex scaling challenge
Willing to work intensively to gain fast results in an unknown field
High self-learning abilities
Excellent communication and collaboration skills to work across teams
Bonus points if you have:
Experienced developing large scale distributed systems, Experienced with Web/JS, Experienced with Kafka / Docker / K8S, Experienced with NoSQL and big data distributed DB (Vertica / Cassandra / ES / BQ) Experienced with Spark / HDFS.

Requirements:
Strong proficiency in Python and a deep understanding of Python web frameworks (e.g., Flask, FastAPI, Tornado).
Experience working with NoSQL technologies (e.g., Redis, Elasticsearch) for high-performance data storage and retrieval.
Experience with cloud services (AWS, GCP, Azure) and cloud-native architectures.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
In-depth experience with backend APIs and microservices architectures.
Ability to optimize and troubleshoot complex systems for performance and efficiency.
Strong knowledge of data structures, algorithms, and distributed systems.
Excellent communication skills and a collaborative mindset.

Desired Skills:
At least 3 years of solid experience in Backend Engineering
At least 3 years of experience with cloud platforms like AWS, GCP, or Azure.
At least 2 years of solid experience with containerization and orchestration tools like Docker and Kubernetes.
A degree in Computer Science, Data Science, or a related discipline, or relevant industry experience.
Good vibe and strong communication skills
What Were Looking For:

A team-oriented developer who excels in a collaborative, high-impact environment.
A problem solver with a strong passion for backend development and delivering high-performance systems.
A proactive individual eager to stay on top of the latest technologies and contribute to the teams success.
A commitment to high-quality, well-tested, and maintainable code.

Requirements:
5+ years of hands-on server-side development experience in .NET
Strong understanding of distributed systems and microservice architecture
Solid grasp of object-oriented design principles and clean code practices
Proven ability to take ownership and drive initiatives independently
Strong communication skills and a collaborative mindset
B.Sc. in Computer Science or equivalent experience
Bonus Points
Experience with any of the following is a plus:
CI/CD pipelines and infrastructure as code (DevOps mindset)
Frontend development (React/Angular or similar)
Node.js or JavaScript/TypeScript services.