AI Engineer

About the role

You’ll be a core builder in our AI team, designing and deploying intelligent systems that automate complex, multi-step workflows.

You’ll leverage agentic frameworks, advanced orchestration, and pragmatic model selection to take ideas from whiteboard to production.

Responsibilities

• Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks.
• Apply the right techniques across the AI spectrum — prompting, RAG, fine-tuning, or training from scratch.
• Design and optimize agent architectures for reasoning, tool use, and workflow automation.
• Build systems that improve with usage, creating compounding AI flywheels.
• Work with backend and frontend engineers to integrate AI reasoning into secure, production systems.

Requirements

• 2+ years in applied AI/ML engineering with production deployments.
• Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow).
• Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems.
• Understanding of monitoring, evaluation, and iteration in production AI systems.
• Ability to balance innovation with reliability, scalability, and compliance.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• Experience with natural language processing, computer vision, and/or reinforcement learning.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Experience with distributed systems and microservices architecture.

Skills

• Python programming.
• Experience with machine learning libraries and frameworks.
• Understanding of AI ethics and responsible AI practices.
• Experience with agile development methodologies.

Benefits

• Paid time off.
• Flexible work schedule.
• Professional development opportunities.
• Health and wellness programs.
• Employee referral bonuses.

Pay

$120K - $200K

Schedule

Full-time