AI Engineer

Location: Frisco, TX and Bellevue, WA

Employment type: Contract Position

We are seeking a forward‑thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and advanced chunking strategies. This role is ideal for engineers passionate about building scalable, production‑grade AI applications that leverage cutting‑edge retrieval and generation techniques.

• Design and implement RAG pipelines using hybrid search, vector keyword, semantic ranking, and metadata enrichment.
• Apply chunking strategies (fixed‑size, recursive, semantic, agentic) to optimize document segmentation for retrieval and embedding.
• Finetune and evaluate LLMs (e.g., GPT, LLaMA, Ollama) for tasks such as QA, summarization, NER, and sentiment analysis.
• Build multi‑agentic systems.
• Integrate AI capabilities into enterprise applications using Azure OpenAI, Cognitive Search, Azure Functions, and Power Automate.
• Collaborate with stakeholders to translate business needs into scalable AI solutions.
• Ensure model reliability, performance, and ethical compliance across deployments.

• 8 to 12 years of experience as a Full‑stack developer with at least 2 to 4 years in generative AI or RAG systems.
• Chunking techniques and embedding strategies.
• MLOps tools: MLflow, Docker, CI/CD pipelines.
• Experience with prompt engineering and model evaluation.
• Mandatory familiarity with agentic systems and multi‑agent orchestration.
• Technical soft skills:
  Expertise level Expert, Good Knowledge.
• Python – Expert.
• AI solutions – Expert.
• SDLC lifecycle – Good.
• Partner client communications – Expert.

• Technical soft skills:
  Expertise level Expert, Good Knowledge.

Mid‑Senior level

Contract

Information Technology

Referrals increase your chances of interviewing at VDart by 2x.

Apply BELOW