Designing, developing, and implementing cutting-edge software solutions
Responsible for implementing identified components using design documentation and functional programming specifications
Ensure that implemented components are documented, unit-tested, and ready for integration
Architect solution, test code, and deploy/build a CI/CD pipeline
Provide work estimates for assigned development work, and guide features and functional objectives

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience
Approximately 5+ years of experience in software engineering, with at least 1–2 years focused on modern AI-driven development environments
Strong backend engineering experience using Python, including building scalable APIs and microservices
Hands-on experience developing AI-powered applications, including: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Tool/function calling frameworks
Proven experience with agent orchestration frameworks such as: LangChain, LangGraph, Semantic Kernel, or similar
Experience designing and deploying AI-based workflows and multi-agent systems in enterprise environments
Strong understanding of System design and platform architecture, Authentication and authorization (OAuth2/OIDC, JWT), Role-Based Access Control (RBAC)
Demonstrated experience securing applications and platforms
Knowledge of AI security risks and mitigation, including: OWASP LLM Top 10 (e.g., prompt injection, insecure outputs)
Working knowledge of containerization and cloud deployment, including: Docker and Kubernetes, CI/CD pipelines, Cloud platforms (AWS, Azure, or GCP)
Familiarity with vector databases, document ingestion pipelines for AI systems
Strong problem-solving skills, rapid prototyping ability, experience working in cross-functional teams with a product/engineering mindset

Dynamic, hybrid-friendly culture that supports well-being
Be Well programs designed to support financial, mental, physical, and social health
Access to cutting-edge learning opportunities
certifications with Microsoft, Google, and Amazon

AI Engineer

Key skills