AI/LLM Engineer

Key Responsibilities

• Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar
• Develop intelligent components capable of reasoning, planning, and executing tasks autonomously
• Implement advanced cognitive patterns such as ReAct (Reasoning + Acting)
• Develop and integrate memory, tool usage, and context management capabilities (MCP)
• Build systems that leverage tool calling, chaining, and orchestration of LLM workflows
• Collaborate with prompt engineers to enhance model responses and performance
• Write high-quality, scalable code using Python (including async programming)
• Build and maintain APIs and microservices for AI/agent-based applications
• Ensure systems are efficient, reliable, and production-ready
• Design and implement guardrails and safety mechanisms for LLM-driven systems
• Ensure robust handling of edge cases, failure scenarios, and unintended outputs
• Work with modern data platforms such as Snowflake, Databricks, and Lakehouse architectures
• Integrate AI solutions with enterprise data pipelines and systems

Qualifications

• Bachelor of Computer Science

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

$120,000- 130,000 a year

Schedule

N/A