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Vetted AI Engineers in Washington
Pre-screened and vetted in Washington.
Mid-level Gameplay/AI Engineer specializing in Unity, XR, and narrative NPC systems
Mid-level AI/Software Engineer specializing in NLP pipelines and LLM-driven automation
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Junior AI/Data Engineer specializing in LLM agents and data governance automation
Shweta Gupta
Senior Backend Software Engineer specializing in Java microservices, Kafka, and AWS
“AI engineer who shipped a production chat assistant for a storage company by building the underlying RAG-style knowledge base (document ingestion, chunking/embeddings, FAISS vector store) and an admin update interface to keep content current. Also has full-stack delivery experience (Python REST APIs + React/TypeScript UI) and AWS operations using Terraform/Jenkins, including handling a real production performance incident by optimizing DB queries and adding auto-scaling.”
Devin Jackson
Mid-level Gameplay AI Engineer specializing in Unreal Engine
“UE5 gameplay/system designer with an engineering background who has shipped player-facing systems including an enemy weak-point feature (with replication and performance fixes) and a modular spectator minigame framework for Killer Klowns from Outer Space: The Game. Also implemented lobby mode and disconnect team-balancing (AI backfill) for Ghostbusters: Spirits Unleashed, leveraging profiling/debug tooling and cross-discipline collaboration to get features to shipping quality.”
Deep Patel
Junior AI/ML Engineer specializing in NLP, LLMs, and MLOps deployment
“Built and deployed NeuroDoc, a production-grade RAG system for PDF Q&A that delivers citation-backed answers with strong anti-hallucination guardrails. Experienced in orchestrating and scaling ML/LLM pipelines with Kubernetes, Airflow/Prefect, and PyTorch Distributed, and in building rigorous evaluation and citation-verification tooling to ensure reliability in production.”
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Balaji Namala
Junior AI Engineer specializing in LLM systems, RAG, and scalable cloud AI
“Built and shipped production LLM agents for real-time, high-concurrency conversational systems, including a RAG-based pipeline with dynamic multi-provider routing and failover that achieved 99.99% reliability and sub-800ms latency. Also architected a UAV telemetry chatbot with tool-calling (anomaly detection/summarization), strict schema validation, and robust eval/monitoring loops, cutting tool-call errors by 30% and reducing operational costs by 90%.”
Mid-level Full-Stack AI Engineer specializing in agentic AI and FinTech systems