AI/ML Engineer - LLM Integration & Optimization

Hello, SpiceOrb is looking for AI/Ml Engineer

Role: AI/ML Engineer LLM Integration & Optimization
Location: Bellevue, WA (Remote)

Duration: Full-Time with Benefits
The opportunity:

• Development and Integration: Responsible for incorporating large language models (LLM) into various applications. This includes developing code that interacts with language models through APIs, developing user interfaces, and deploying these applications into cloud-based production environments.
• AI Application Tuning & Optimization: develop, optimize and maintain LLM applications through AIOps-based best practices.
• Continually enhance solutions by evaluating available language models and relevant AI technologies.
• Maintain CI/CD-based versioning, logging and documentation for reference and to facilitate future development.
• Team Collaboration: Influence, build trust, empower team members, and build positive relationships across the team and foundation to help drive the AI and LLM projects and practices forward.
• Work closely with operations & program teams to identify areas to integrate AI and LLM technologies into business applications and processes.
• Build and maintain strong partnerships within IT, across program and operations teams, and key stakeholders through collaboration as a trusted advisor and Generative AI consultant to maximize business outcomes and project delivery.
• Stay up to date with industry trends and advancements in AI and LLM's.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required .
What you need:

• Bachelor's degree, or higher, in Data Engineering, Mathematics, Computer Engineering, Statistics, or related field, or equivalent experience.
• At least 5+ years' experience in AI, machine learning or software engineering, including building products or solutions.
• Strong programming skills in Python
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Keras
• Experience with workflow/agentic orchestration frameworks such as LangGraph, Workflows, Semantic Kernel, AutoGen, etc
• 3+ years of professional experience with cloud technologies (AWS, Google Cloud Platform, Azure)
• Experience integrating, tuning and evaluating large language models within custom applications.
• Knowledge of NLP concepts, such as transformers, tokenization, and embeddings.
• Knowledge of ethics in AI and responsible AI development
• Exceptional interpersonal and communication skills with ability to present and influence at all management levels.
• Experience with agile development methodologies such as Scrum or Kanban
• A dedication to diversity, equality, and inclusion, proven through past experiences or initiatives.