applied AI / ML engineer roles building agentic systems

Location: Dallas, TX Remote: Yes Willing to relocate: Yes (including internationally) Technologies: Python, LangGraph, LangChain, MCP, RAG, supervised fine-tuning (LoRA/PEFT), Anthropic/OpenAI APIs, PyTorch, Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP Résumé/CV: https://suneelkalva.com Email: suneel.kalva190700@gmail.com AI engineer at U.S. Bank building production LLM systems: a RAG assistant over 500K+ documents for 200+ analysts, LLM eval harnesses (hallucination, PII, prompt-injection), and fine-tuned LLaMA/Mistral models. Outside work I built and published mendrift-mcp (PyPI, listed on the official MCP Registry) an autonomous MLOps incident-response agent with an HMAC-gated approval layer, evaluated on a 19-scenario trajectory harness. Looking for applied AI / ML engineer roles building agentic systems.