Gen AI Engineer
Bellevue, WA - Onsite role
Long term Contract
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
ROLE DESCRIPTION:
- Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
- Apply chunking strategies fixedsize recursive semantic agentic to optimize document segmentation for retrieval and embedding
- Finetune and evaluate LLMs eg GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis
- Build multiagentic 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
SKILLS
- 5 to 7 years of experience as Fullstack developer with at least 24 years in generative AI or RAG systems
Proficiency in
- Python
- Azure AI Studio Azure Cognitive Services VectorDBs eg Pinecone FAISS
- Chunking techniques and embedding strategies
- MLOps tools MLflow Docker CICD pipelines