Company Description
Atomic Zero is a transformative security services company that combines AI and hyper-automation with deep security expertise.
We deliver adaptive defenses and help transform security into a strategic enabler of business growth.
Our innovative approach ensures that our clients stay ahead in an ever-evolving threat landscape.
Role Description
This is a full-time remote role for a Forward Deployed AI Engineer.
The AI Engineer will be responsible for integrating and deploying AI solutions tailored to client-specific environments.
Day-to-day tasks include collaborating with clients to identify their needs, developing and implementing AI algorithms, and optimizing security measures.
The role involves backend/Frontend web development, software development, and object-oriented programming tasks.
The ideal candidate is a self-motivated team player and proven leader.
As a Forward Deployed AI Engineer, you will partner with customers to understand their pain points, design AI-powered agents that address those needs, and deliver measurable value.
Responsibilities
- Brainstorm with customers to understand current security and engineering processes and identify automation opportunities
- Build prototypes tailored to customers on our AI agent platform for demos and proof-of-concepts
- Deploy AI agents into customer environments and build integrations to customer data and tools
- Collaborate with customers using AI engineering techniques to validate efficacy of the AI agents and demonstrate measurable improvements
- Work with our core engineering team to productize prototypes
- Document playbooks for customers and contribute to internal knowledge base for best practices and insights from customer engagements to keep enhancing the product
Qualifications
- Strong background in Computer Science
- Excellent problem-solving and analytical skills
- Ability to work independently and remotely
- 5+ years of experience in software, solutions, or customer engineering roles with a strong emphasis on customer facing engagements
- Strong understanding of DevSecOps practices such as code review, design review, threat modeling, vulnerability scanning, software supply chain
- Hands-on experience building AI/ML-driven applications leveraging large language models (LLMs)
- Proven skills in data preparation, prompt engineering, and RAG pipelines
- Understanding of evaluation metrics, monitoring, and continuous improvement
- Proficient with APIs, JSON, and low-code / no-code platforms such as n8n
- 5+ years of deep fluency in modern JavaScript/TypeScript and Python
- 5+ years architecting and operating solutions in public clouds (AWS, GCP, or Azure)
- Proficiency in Front/Back-End Web Development and Software Development
- Solid Programming skills, including Object-Oriented Programming (OOP)
- Experience in deploying AI solutions and optimizing them for specific environments
- Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree is a plus