
AI Engineer
decircle
full-time
Posted on:
Location Type: Remote
Location: New York • United States
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Salary
💰 $130,000 - $150,000 per year
Tech Stack
About the role
- Design and build single and multi-agent systems with planning, memory, and tool use
- Build and operate MCP servers with secure schemas and permissions
- Develop agentic workflows using LangGraph or equivalent frameworks
- Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling
- Define and run LLM evaluations for quality, correctness, latency, cost, and regressions
- Build observability and reliability infrastructure: logging, tracing, retries, state management
- Optimize performance and cost from prototype to production
- Mentor engineers and establish agentic best practices
Requirements
- 5+ years software engineering; 2+ years building production AI/ML systems
- Hands-on experience with agentic architectures and tool calling
- Practical experience with MCP servers
- Experience with LangGraph or equivalent agentic frameworks
- Experience designing and operating LLM evaluation pipelines
- Strong Python and API design skills
- Familiarity with RAG pipelines, vector databases, and embedding-based retrieval
Benefits
- Compensation & Equity – competitive package aligned with growth, performance, and merit
- Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
- Paid Time Off - 21 vacation days + 7 sick days + 8 observed U.S. company holidays
- Health Coverage - 100% employer-paid options (medical, dental & vision) for you and your dependents
- FSA / HSA Options - depending on selected health insurance plan
- Parental Leave - thoughtful policy to support your family needs
- Wellness Programs - OneMedical, Teladoc, Talkspace, and EAP
- Career Growth - opportunities in a rapidly expanding, global technology company with personalized professional development
- Pre-tax Commuter Benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAPI designagentic architecturesMCP serversLangGraphLLM evaluation pipelinesRAG pipelinesvector databasesembedding-based retrievalperformance optimization
Soft Skills
mentoringestablishing best practices