Job description

Core expectations (must have exposure across all): • Software engineering: Proficiency in Python (preferred) or Java , with solid fundamentals (clean coding, testing, APIs, debugging, performance, and maintainability). • Cloud engineering: Working knowledge of at least one public cloud provider — AWS preferred —including hands-on familiarity with deploying/running services, IAM/security basics, logging/monitoring, and common managed services. • AI/ML exposure: Practical exposure to AI/ML concepts and workflows (e.g., model integration patterns, basic ML lifecycle understanding, evaluation basics), sufficient to ramp into agent development with minimal hand-holding. Preferred experience (strong differentiators): • Hands-on experience integrating with frontier model APIs (e.g., OpenAI or similar), including prompt design, tool/function calling, streaming, and reliability/cost considerations. • Familiarity with advanced agent architecture concepts such as memory , guardrails/assurance , and MCP (Model Context Protocol) or similar patterns for tool interoperability. • Experience with conversational/agent frameworks or platforms , such as LangGraph , CrewAI , Rasa , Decagon , or equivalent orchestration frameworks, including building multi-step workflows and tool-based agents

Requirements

Must-haves

Core expectations (must have exposure across all):
Hands-on experience integrating with frontier model APIs (e.g., OpenAI or similar), including prompt design, tool/function calling, streaming, and reliability/cost considerations.
Familiarity with advanced agent architecture concepts such as memory , guardrails/assurance , and MCP (Model Context Protocol) or similar patterns for tool interoperability.
Experience with conversational/agent frameworks or platforms , such as LangGraph , CrewAI , Rasa , Decagon , or equivalent orchestration frameworks, including building multi-step workflows and tool-based agents

Nice-to-haves

Software engineering: Proficiency in Python (preferred) or Java , with solid fundamentals (clean coding, testing, APIs, debugging, performance, and maintainability).

Application prep

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Keywords to mirror

pythonjavaawsaiml

Platform: careers-browser
Effort: medium