Artificial Intelligence Engineer

Reports To: Principal Consultant

Department: Data Analytics

Location: Seattle, US (Hybrid)

Evalueserve helps companies move from data to decisions to outcomes. In a world of constant change and disruption, enterprises turn to us for faster and sharper data-driven decisions.

We foster a growth mindset at Evalueserve. Recognized by Great Place to Work®, our open dynamic growth-oriented open culture offers you a healthy work-life balance, flexibility, diverse teams, and an equal playing field.

At Evalueserve, you are joining a culture of learning, social responsibility, and sustainability that creates award-winning outcomes.

Your work will include:

* 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.

* ML Model Tuning & Optimization: Train and fine-tune models, optimizing performance through MLOps-based best practices.

* 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 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

Your Experience

* 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, GCP, 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.