Senior AI Engineer

The Opportunity

We are seeking a Senior AI Engineer to design, build, and scale AI-powered products and internal solutions that drive meaningful business results. This is a highly visible, hands-on role for someone who can turn complex business problems into reliable, production-ready systems using machine learning, generative AI, automation, and modern software engineering.

You will help shape the organization’s AI strategy while remaining close to the work—identifying high-value use cases, building the technical foundation, and delivering tools that make teams faster, smarter, and more effective.

What You’ll Do

• Design, build, deploy, and maintain production-grade AI applications and services.
• Develop solutions using large language models, retrieval-augmented generation (RAG), intelligent agents, predictive modeling, workflow automation, and other AI capabilities as appropriate.
• Partner with business and technical stakeholders to identify valuable AI opportunities, define requirements, and convert ambiguous problems into practical solutions.
• Build and optimize data pipelines, embeddings workflows, vector databases, model-evaluation frameworks, and AI application infrastructure.
• Integrate AI capabilities into internal systems, customer-facing platforms, and enterprise workflows through APIs, services, and automation tools.
• Evaluate AI models, platforms, and vendors based on performance, security, scalability, cost, reliability, and business fit.
• Establish engineering standards for prompt design, testing, model evaluation, observability, monitoring, versioning, and continuous improvement.
• Improve deployed AI systems for accuracy, latency, cost efficiency, scalability, and user experience.
• Collaborate closely with software engineering, data, security, operations, and product teams to ensure solutions are secure, dependable, and ready for real-world use.
• Help establish responsible AI practices around data privacy, access controls, model risk, human review, and governance.
• Mentor other engineers, contribute to architectural decisions, and help set the technical direction for future AI initiatives.
• Stay current on emerging AI technologies and translate the ones that matter into real opportunities for the organization.

What You’ll Bring

• 5+ years of experience in software engineering, machine learning, data engineering, or AI engineering, with meaningful experience deploying AI or ML solutions into production.
• Strong Python skills and experience building backend services, APIs, integrations, and scalable applications.
• Hands-on experience developing LLM-based applications, including RAG, embeddings, vector search, prompt engineering, tool calling, agent workflows, and evaluation frameworks.
• Experience working with machine learning and AI tools such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LlamaIndex, or similar technologies.
• Experience with cloud infrastructure and modern deployment practices, ideally AWS, Azure, or GCP; Docker, CI/CD, orchestration, and monitoring tools.
• Strong SQL and data-modeling skills, with experience working across structured and unstructured data sources.
• Solid understanding of system design, security, data privacy, reliability, and scalability.
• Demonstrated ability to evaluate whether an AI solution is actually valuable, measurable, and appropriate for the problem—not just technically interesting.
• Strong communication skills and the ability to explain technical concepts clearly to non-technical partners and senior leaders.
• A pragmatic, ownership-oriented approach and comfort operating in a fast-moving environment.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; equivalent practical experience will also be considered.

Compensation

The anticipated base salary range for this position is $170,000–$220,000 , depending on experience, qualifications, and overall fit. This role is also eligible for the company’s benefits program.