Sygnia is a top tier cyber technology and services company, providing high-end consulting and incident response support for organizations worldwide. Sygnia works with companies to proactively build their cyber resilience and to respond and defeat attacks within their networks. It is the trusted advisor and cyber security service provider of IT and security teams, senior managements, and boards of top organizations worldwide, including Fortune 100 companies.
The company draws on top talent from the ranks of elite military technology units and from across the cyber industry and has some of the world’s top talents in cybersecurity. Described by Forbes as a “cyber security delta force”, it applies technological supremacy, digital combat experience, data analytics and a business-driven mindset to cyber security, enabling organizations to excel in the age of cyber.
Our Technology division builds a world class product, considered by experts as the leading XDR platform for cyber analytics and investigations. Our product was deployed in hundreds of clients, including many Fortune 500 companies, all around the world (from North America through Europe, APAC and all the way to Australia), and as a part of the team you will have the privilege to take part in the ongoing fight against cyber threat actors of the highest levels.
We are looking for a talented, passionate, and experienced Senior GenAI Engineer to join our team. You will design and build production-grade GenAI applications from the ground up, using technologies such as Google ADK, Docker, and AWS (Bedrock, AgentCore etc). We’re looking for someone with a genuine passion for GenAI, strong software engineering skills, hands-on experience developing GenAI solutions, and a collaborative, hands-on approach. You will also work closely with the team’s researchers, helping transform research code and prototypes into reliable, secure, and scalable containerized applications that can be deployed and operated in the cloud.
Design and development of production-grade GenAI applications and agentic systems
Build and operate reliable, secure, and scalable AI-powered services, with a focus on performance, observability, and cost
Drive engineering best practices, including testing, evaluation, CI/CD, code review, and technical design, while contributing to product and technical innovation
Work closely with the team’s researchers to transform research code and prototypes into reliable, containerized applications that can be deployed and operated in the cloud
Requirements
5+ years of software engineering experience building production systems
3+ years of professional Python development experience
Hands-on experience designing and developing production GenAI applications
Strong understanding of LLMs, agentic systems, RAG, tool calling, prompt engineering, and evaluation
Experience using GenAI observability tools for tracing, monitoring, evaluating, optimizing and debugging AI applications
Strong experience with Docker and cloud environments (preferably AWS).
Strong coding standards and experience with testing, CI/CD, observability, and production troubleshooting
Strong communication skills and the ability to clearly articulate technical ideas and trade-offs
High proficiency in English, both written and spoken
A collaborative, responsible team player with a genuine passion for GenAI and continuous learning
Nice to have
Hands-on experience with Google ADK
Experience defining AWS infrastructure using AWS CDK
Experience with AWS GenAI services such as Amazon Bedrock and Amazon Bedrock AgentCore
Experience developing AI solutions for cybersecurity or security products