AI Engineer | Digital Products & AI

Responsibilities

• Architect production AI solutions, including tool selection, memory and context management, guardrails, and human-in-the-loop controls.
• Build and deploy agentic-system components, retrieval pipelines, MCP services, integrations, and connections to enterprise data and processes.
• Modernize platforms and applications by rebuilding legacy functionality where needed.
• Design access controls, identity management, deployment guardrails, and oversight of automated actions into solutions.
• Break complex problems into deliverable components and help define scope, sequencing, and implementation approaches.
• Create reusable engineering patterns, skills, and tooling for future engagements.
• Write code, review agent-generated outputs, and shape architecture, controls, and acceptance criteria for production success.
• Work directly with clients and multidisciplinary teams from discovery through deployment and, on some engagements, ongoing operation.

Requirements

• Track record of designing, building, and delivering complex technology solutions in production environments.
• Experience building and operating production software.
• Strong software engineering skills, ideally including Python and TypeScript.
• Experience designing and delivering cloud-native systems on AWS, Azure, or GCP.
• Hands-on experience building AI applications and agent-based systems in production.
• Experience with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
• Experience building retrieval-enabled systems with technologies such as pgvector, Elasticsearch, or OpenSearch.
• Experience integrating applications with enterprise systems, data platforms, APIs, identity providers, and MCP-enabled services.
• Client-facing technical delivery experience at senior levels.
• Strong technical judgment, communication skills, and ability to navigate ambiguity while balancing delivery speed, quality, security, and maintainability.
• Preferred experience in consulting, professional services, or as a technical founder.
• Preferred experience in healthcare and life sciences, manufacturing, energy and utilities, transportation, or consumer industries.
• Preferred experience building reusable platforms, tooling, or AI solutions in regulated environments.

Benefits

• Hybrid working with a minimum of two days per week in the office or on a client site; assignments may require up to five days per week on a client site.
• Group medical insurance, dental insurance, vision insurance, and a Health Savings Account with company match.
• Teladoc and informed Nurse line resources.
• 401(k) Savings Plan with company profit-sharing contribution.
• Commuter and parking tax-savings benefit.
• 15 paid vacation days, with the opportunity to buy five additional days.
• 10 paid holidays and 10 paid sick days.
• Company and voluntary income protection benefits.
• Gym and health incentive reimbursement.
• Pet and legal insurance plans.
• Employee Assistance Plan.
• Annual performance-based bonus.
• Physical, emotional, social, and financial well-being support, plus recruitment-process adjustments and accommodations.