FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesElixirGoPython
About the role
Key responsibilities & impact- Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
- Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
- Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
- Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
- Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
- Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.
Requirements
What you’ll need- 6-10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
- 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
- Proven success designing and maintaining distributed or high-throughput systems.
- Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
- Excellent communication skills and the ability to work effectively across teams.
- A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
- Ability to thrive in a fast-paced environment with shifting priorities.
- Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
- Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
- Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
- Hands-on experience with fine-tuning and data curation for improving model performance.
Benefits
Comp & perks- Open and transparent culture
- Life insurance, long and short-term disability coverage
- Paid maternity and paternity leave
- Fertility Benefits
- Generous vacation time, plus three 4-day summer holiday weekends
- Excellent medical, dental, and vision benefits
- 401k Plan with company matching
- Bi-annual swag drops with cool Podium gear and apparel
- A stellar HQ (Utah) gym with local professional coaches and classes offered
- Onsite HQ (Utah) child care center, subsidized for employees
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GoPythonElixirAPI designdistributed systemshigh-throughput systemsLLM behavior evaluationprompt designcontext engineeringdata curation
Soft Skills
problem-solvingcommunicationcollaborationadaptabilitynavigating ambiguityworking across teamsthrive in fast-paced environmentiterative improvementuser experience focusoperational best practices
