Senior AI Engineer

5 months ago

Remote, WorldwideSenior

Base Salary

$169k - $200k/yr

Responsibilities

Design and implement the architecture for core autonomous AI agents, including planning, memory and retrieval, goal setting, and tool-use orchestration.
Apply reinforcement learning, inverse reinforcement learning, and related control methods to develop adaptive intervention strategies that maximize positive outcomes and minimize risk.
Select, fine-tune, and deploy foundation models for agent reasoning, natural language understanding, and empathetic communication.
Develop human-agent interaction models informed by cognitive science, behavioral economics, and therapeutic protocols.
Build simulation environments for pre-training and testing agent policies across psychological and behavioral scenarios.
Optimize production deployment for low-latency multi-agent orchestration, computational efficiency, high availability, and resilience.
Lead evaluation and adoption of agentic frameworks, reasoning technologies, and system design patterns.
Create evaluation and observability pipelines with trace analysis, golden-dataset testing, production monitoring, behavioral-drift detection, guardrails, and human-in-the-loop annotation.
Establish metrics for reasoning quality, task completion, safety compliance, and task alignment across the agent lifecycle.

Bachelor’s or master’s degree in computer science, artificial intelligence, robotics, electrical engineering, or a highly quantitative field; candidates with nontraditional education paths are encouraged to apply.
At least 5 years of experience in a production software engineering environment.
At least 3 years of experience designing, implementing, and deploying complex machine learning or autonomous systems.
Exceptional Python programming skills and mastery of scientific libraries.
Experience building and managing CI/CD pipelines for ML models and integrating them into service-oriented architectures.
Strong theoretical and practical knowledge of reinforcement learning, planning algorithms, or complex decision-making systems.
Hands-on experience fine-tuning, deploying, and managing LLMs in production, including prompt engineering, retrieval-augmented generation, and cost optimization.
Ability to write high-quality, maintainable, scalable, and well-tested production code.
Proficiency with AWS, GCP, Docker, and Kubernetes.

Comprehensive medical, dental, and vision coverage starting day one
Pre-tax HSA/FSA benefits
401(k) retirement savings program with matching up to 4%
Voluntary disability, basic life, and pet insurance benefits
Monthly wellness stipend
Flexible PTO
Remote-first work environment; position is based in Eastern Standard Time
Regular wellness workshops and team-building events
Free Talkspace products for the employee and one household member, plus a friends-and-family discount