[Hiring] Applied AI Engineer @Simbian Inc

Role Description

We are looking for an Applied AI Engineer to help build the systems that make our AI agents powerful, reliable, and useful in real-world cybersecurity environments. This role sits at the intersection of backend engineering, distributed systems, and applied AI.

• Build the backend infrastructure that powers our agents while also working directly on agent behavior—improving how agents reason, use tools, retrieve context, handle failures, and complete complex tasks.
• The goal isn't simply to build models or backend services in isolation. It's to turn AI capabilities into dependable production systems that solve real customer problems.
• Work closely with research, engineering, product, and security teams to take ideas from experimentation to production and measure whether they improve agent performance.

Qualifications

• 5–8 years of software engineering experience, with strong backend development experience.
• Experience building and shipping ML/LLM-powered products or AI-enabled features, or have strong hands-on experience applying LLMs to real engineering problems.
• Highly proficient in Python and comfortable working with modern AI/ML tooling.
• Strong fundamentals in distributed systems, backend architecture, APIs, microservices, and asynchronous systems.
• Experience with LLMs, prompt engineering, RAG, embeddings, model evaluation, or agentic systems.
• Think beyond model metrics and engineering elegance—you care about whether the system actually works for users.
• Enjoy debugging messy, real-world failures and turning them into systematic improvements.
• Comfortable working in ambiguous environments and taking ownership from problem definition → implementation → production.
• Strong understanding of software engineering fundamentals and write clean, maintainable, well-tested code.
• Enjoy reading technical papers, RFCs, experimenting with new technologies, and learning quickly.

Requirements

• 4–7 years of professional software engineering experience.
• Strong backend development experience, preferably with Python, Go, or Node.js.
• Strong understanding of distributed systems fundamentals.
• Experience with microservices, APIs, asynchronous execution, and event-driven systems.
• Hands-on experience with LLMs / Generative AI / Applied AI.
• Experience with at least some of:
  • Prompt engineering
  • RAG
  • Embeddings / vector databases
  • LLM evaluation
  • Tool calling / function calling
  • Agent frameworks
• Experience building and deploying production software.
• Strong problem-solving and debugging skills.
• Ownership mindset and ability to take a problem from zero to shipped.

Bonus / Great to Have

• Experience building AI agents or tool-using LLM systems.
• Experience with LangGraph, LangChain, or similar agent frameworks.
• Experience with model evaluation, fine-tuning, or code-generation models.
• Experience building developer tooling or AI coding systems.
• Experience with cybersecurity products, particularly SIEM, SOAR, EDR, NDR, or security data pipelines.
• Experience with AWS/GCP/Azure, Docker, Kubernetes, and CI/CD.
• Experience building evaluation frameworks, benchmark datasets, or automated testing systems for AI agents.
• Experience with agent observability, tracing, and production LLM monitoring.
• Strong academic background in Computer Science or a related field; graduates from IITs or other top-tier engineering institutions preferred.

Benefits

• Build an AI-first cybersecurity platform from the ground up.
• Work at the intersection of AI, cybersecurity, and distributed systems.
• Solve problems where there isn't always an obvious playbook.
• Work directly with founders, researchers, security experts, and engineering leaders.
• Own meaningful problems end-to-end and see your work go directly into production.
• Be part of an early team where your technical decisions and ideas can have outsized impact.
• Ship fast, learn fast, and build systems that matter.