Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions.
Design and build new agent data types, and pipelines that enable agents frameworks, and workflows to coordinate reasoning, function calling, actions.
Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches.
Implement comprehensive security mechanisms for autonomous agents, including authentication, role-based access control, audit logging, and compliance monitoring.
Integrate agents securely with existing systems, APIs, and data sources with secure communication protocols.

Requirements

Expert level in Python, frameworks, and functional programming principles
Experience designing and implementing LLM agent workflows, and familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen.
Master’s degree or higher in Artificial Intelligence preferred.
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.

Benefits

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Pythonfunctional programmingLLM agent workflowsplanning algorithmsmulti-step reasoningrole-based access controlmulti-factor authenticationnetwork securitycompliance monitoring

Soft skills

collaborationcommunication

Certifications

Master’s degree in Artificial Intelligence