Senior Artificial Intelligence (AI) Developer

ExtensisHR•,

1d•Hybrid

About The Position

The Senior AI Developer is a hands-on engineering role responsible for designing, building, and deploying artificial intelligence and machine learning solutions that support Extensis HR's transformation agenda. Working within the AI & Transformation team, this individual will develop AI-powered features, automation workflows, and data-driven applications that improve operational efficiency and enhance the client and employee experience. The Senior AI Developer will collaborate closely with product, data, and business teams to deliver production-quality AI solutions – writing clean, maintainable code and contributing to best practices across the engineering organization.

Requirements

Bachelor's degree in Computer Science, Data Science, Mathematics, or a related technical field is preferred but not required.
4+ years of software development experience, with at least 2 years focused on applied AI/ML engineering.
Strong proficiency in Python and experience with ML libraries such as Scikit-learn, PyTorch, TensorFlow, or HuggingFace Transformers.
Hands-on experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering techniques.
Experience building RAG pipelines, vector search integrations (e.g., Pinecone, pgvector, Weaviate), or AI agent frameworks (LangChain, LlamaIndex, or equivalent).
Familiarity with cloud AI/ML services on Azure, AWS, or GCP (e.g., Azure Machine Learning, SageMaker, or Vertex AI).
Working knowledge of RESTful API development, containerization (Docker), and CI/CD pipelines.
Solid understanding of data fundamentals including SQL, data wrangling, and feature engineering.
Ability to sit or stand for extended periods while performing desk-related tasks.
Prolonged use of a computer, keyboard, and mouse, requiring repetitive motion.
Ability to lift and carry office supplies or equipment up to 20 pounds.
Occasional bending, reaching, and twisting to retrieve files or supplies.
Ability to walk throughout the office, including moving between different departments or meeting rooms.
Ability to communicate effectively in person and via phone or video conferencing.
Ability to focus and maintain attention for long periods while working on various tasks.
Must be able to communicate effectively in both verbal and written form.

Nice To Haves

Experience in HR technology, PEO, or regulated industries is a plus.
Relevant certifications (AWS Machine Learning, Azure AI Engineer, Google ML Engineer) are a plus.
Occasional travel may be required.

Responsibilities

Design, develop, test, and deploy AI/ML models and applications including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.
Build and integrate large language model (LLM) powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic; implement retrieval-augmented generation (RAG) patterns and AI agent workflows.
Develop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.
Integrate AI solutions into existing enterprise platforms and APIs, ensuring reliable, secure, and performant deployment.
Write well-structured, tested, and documented code in Python; participate in peer code reviews and contribute to engineering standards.
Collaborate with business analysts and stakeholders to translate requirements into AI use cases; participate in Agile sprint ceremonies.
Monitor deployed models and pipelines in production; diagnose performance issues and implement improvements.
Conduct research and rapid prototyping to evaluate new AI frameworks, tools, and techniques for applicability to business problems.
Support the documentation of AI solution designs, data flows, API contracts, and operational runbooks.
Contribute to a responsible AI culture by following established guidelines around model fairness, data privacy, and explainability.
Performs additional responsibilities as assigned to support the efficient operation of the department and the organization.
Effective use and understanding of artificial intelligence (AI) tools and technologies to enhance productivity, decision-making, and overall performance.
Maintain awareness of emerging AI applications relevant to their responsibilities, apply AI tools ethically and effectively, and continuously develop their AI proficiency.

Benefits

Competitive compensation to reward you for your hard work every day.
Progressive Paid-Time Off Program for you to enjoy time out of the office, including time off for volunteering and life events.
Group Medical, Dental, Vision and Life insurance to encourage a healthy lifestyle available from day one.
Pretax Spending Accounts to ease taxes on health and dependent care expenses.
401k and IRA retirement plans, employer contributions.
Extensive professional development programs to help you get to where you want to go in your career.
Employee Discounts on retail and entertainment.
A social and community outreach committee that promotes a fun inclusive culture through in-office events and networking opportunities.
Diversity, Inclusion and Equity (DEI) committee that promotes organization DEI initiatives and employee engagement.
Complimentary coffee and snacks to keep you fueled and productive throughout the day.