AI Engineer

About the role

We’re more than a single-source IT provider -- we help companies, schools, and cities build smarter and safer communities with exciting AI, cloud, IoT, and cyber-physical security solutions. Join a dynamic team of passionate professionals dedicated to tackling challenges and fostering continuous learning in an environment that values innovation and collaboration.

At Claro, a globally recognized leader and Certified Great Place to Work, your personal and professional growth takes center stage. We foster a culture of excellence, diversity, and continuous learning, empowering individuals with a growth mindset to shape the future of IT solutions.

About the role

The AI Engineer is responsible for building and deploying AI agents (Microsoft Copilot and Claude) and private retrieval-augmented generation (RAG) applications. This role requires experience with retrieval-augmented generation (RAG) architectures or related machine learning (ML) solutions, including data ingestion, embeddings, retrieval, and deployment in enterprise environments. We welcome candidates with strong ML backgrounds interested in AI agent and RAG solution development.

What you will do

• Design, build, and deploy AI agents using Microsoft Copilot Studio and Claude (Anthropic), or apply ML experience to similar enterprise use cases
• Implement RAG applications using vector databases (such as Pinecone, Weaviate, Azure AI Search, Chroma) with support from senior team members - including ingestion, chunking, embeddings, retrieval, and evaluation
• Help configure deployments to meet enterprise requirements for data isolation, security, and governance, collaborating with team leads as needed
• Work with business, data, and product teams to turn requirements into practical AI agent or RAG/ML solutions
• Support management of the data layer-databases and pipelines-underlying agents and RAG/ML applications
• Contribute to designing and integrating AI/ML-enabled business processes throughout development and deployment
• Where appropriate, assist with automation (RPA), machine learning, and front-end delivery workstreams
• Help integrate AI/ML solutions with internal systems, APIs, workflow engines, data sources, and business applications to enable end-to-end business processes

What we’re looking for

• Bachelor’s degree in Information Technology, Computer Science, or a related field (required)
• 3+ years’ experience in AI agent development OR machine learning solution development, with exposure to enterprise AI platforms (Microsoft Copilot Studio, Claude, Anthropic, or comparable ML platforms)
• Experience with retrieval-augmented generation (RAG) or hands-on ML engineering involving vector databases, embeddings, or similar technologies
• Experience managing or supporting data pipelines and databases
• Familiarity with designing workflow-driven agents or ML models that interact with APIs or enterprise systems
• Experience with REST APIs and basic integration engineering preferred
• Practical knowledge of Python for data processing, automation, and AI/ML solution development
• Understanding of software development lifecycle practices (Git, CI/CD, automated testing, security best practices)
• Experience working with cloud environments (Azure preferred) is a plus
• Familiarity with Microsoft Power Platform, web-based front-end frameworks (Angular, React), and agent/orchestration frameworks (Semantic Kernel, LangChain, etc.) is a plus

What we offer

• Base salary: $110,000 + 10% bonus
• Professional development
• Inclusive, diverse workplace celebrating success
• Medical, Dental, Vision
• 16 Holidays, 15 days PTO, 7 sick days
• 401(k) with match and tuition reimbursement

Additional Requirements

• Candidates must successfully complete a background check and drug screening

Company is an Equal Employment Opportunity (EEO) employer.

Compensation

The anticipated base salary range for this position is listed in the job posting. Individual compensation is determined based on factors such as location, experience, skills, qualifications, business needs, and the scope of the role.