AI Software Engineer
AI summary of the role
Senior AI Engineer to architect and deploy secure AI solutions for defense and federal enterprises, focusing on RAG systems, LLM agents, semantic search, and NLP-driven analytics.
What you’ll do
- Architect and implement RAG systems and LLM agents for querying and synthesizing insights from structured/unstructured data.
- Build semantic search engines integrating legacy databases, data lakes, open-source repos, and scientific literature APIs.
- Develop intelligent chatbots and virtual agents for role-based recommendations, career path mapping, and skills gap analysis.
- Design ML algorithms (anomaly detection, predictive modeling, causal inference) for risk identification and resource optimization.
What you’ll bring
- Bachelor's or Master's in CS, Data Science, AI, ML, or related field.
- 5+ years engineering production-grade AI/ML systems (or 3+ with Master's/Ph.D.).
- Hands-on experience with LLMs, embedding models, and vector databases (Pinecone, Milvus, Qdrant, FAISS).
- Proficiency in Python, PyTorch, TensorFlow, LangChain, LlamaIndex, FastAPI.
Technologies
RAG · LLM · LangChain · LlamaIndex · PyTorch · TensorFlow · FastAPI · Pinecone · Milvus · Qdrant · FAISS · Docker
About Dark Wolf Solutions
Builds cyber, DevSecOps, cloud, data/AI, and mission-engineering solutions for U.S. defense, intelligence, and Fortune 500 customers with reusable accelerators.
Bootstrapped · 500–1000 people
Employer postings · Data from · Sources