Software Developer 2 (1670)
Posted Today by Connect Tech+Talent
Negotiable
Undetermined
Hybrid
Remote
Summary: The Software Developer 2 role in Austin, Texas, is a hybrid position focused on AI/ML engineering and advanced data science. Candidates must have extensive experience in building and deploying production-grade autonomous agents and proficiency in relevant technologies. The contract duration is three months, and only local candidates will be considered.
Key Responsibilities:
- Develop and deploy production-grade autonomous agents.
- Implement RAG architectures using vector databases.
- Integrate LLMs via APIs and manage AI governance and model lifecycle.
- Extend the Model Context Protocol (MCP) for secure data access.
- Implement AI guardrails, content filtering, and safety controls.
- Ensure compliance with data privacy regulations regarding sensitive data.
Key Skills:
- 4 Years of experience in AI/ML engineering or advanced data science.
- Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI).
- Strong experience in context engineering and deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
- Experience building multi-agent or autonomous agentic workflows (preferred).
- Understanding of data privacy and handling of sensitive data (PII/PHI).
Salary (Rate): undetermined
City: Austin
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Software Developer 2 (1670) Austin, Texas (Hybrid- Position is ONSITE/Hybrid at the location listed above (with some hybrid work determined by the hiring manager). The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.) 3 Months Contract
Required 4 Years - Experience in AI/ML engineering or advanced data science 4 Years - Proven track record of building and deploying production-grade autonomous agents. 4 Years - Strong experience in context engineering 4 Years - Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4 Years - Experience implementing RAG architectures using vector databases 4 Years - Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 4 Years - Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation 4 Years - 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 Years - Understanding of data privacy and handling of sensitive data (PII/PHI)
Preferred 2 Years - Experience building multi-agent or autonomous agentic workflows 2 Years - Experience optimizing LLM cost, token usage, and performance 2 Years - Familiarity with enterprise AI deployment patterns and scalability considerations