Software Developer 2
Posted
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 4 Required experience in AI/ML engineering or advanced data science 4 Required Proven track record of building and deploying production-grade autonomous agents. 4 Required Strong experience in context engineering 4 Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4 Required Experience implementing RAG architectures using vector databases 4 Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 4 Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation 4 Required Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls 4 Required Understanding of data privacy and handling of sensitive data (PII/PHI) 2 Preferred Experience building multi-agent or autonomous agentic workflows 2 Preferred Experience optimizing LLM cost, token usage, and performance 2 Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 4 Required experience in AI/ML engineering or advanced data science 4 Required Proven track record of building and deploying production-grade autonomous agents. 4 Required Strong experience in context engineering 4 Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4 Required Experience implementing RAG architectures using vector databases 4 Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 4 Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation 4 Required Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls 4 Required Understanding of data privacy and handling of sensitive data (PII/PHI) 2 Preferred Experience building multi-agent or autonomous agentic workflows 2 Preferred Experience optimizing LLM cost, token usage, and performance 2 Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
