AI Engineer

AI Engineer role focused on designing, building, and deploying intelligent AI assistants and multi-step agents on Google Cloud Platform.

Responsibilities

• Design and develop AI assistants on Vertex AI, including model selection, prompt engineering, grounding, retrieval-augmented generation (RAG), and agent orchestration
• Build multi-step AI agents using the Google Agent Development Kit (ADK), including agent architectures with tool use, sub-agents, callbacks, and session management
• Develop and integrate applications with Google Cloud AI/ML SDKs (Vertex AI SDK for Python, Google Gen AI SDK) for programmatic access to foundation models, embeddings, tuning, and prediction endpoints
• Implement agentic architectures leveraging ADK orchestration features such as sequential agents, loop agents, parallel agents, and custom agent hierarchies for multi-turn, multi-domain workflows
• Implement tool and function calling patterns in ADK agents to connect to enterprise APIs, databases, and external services for grounded, domain-specific responses
• Apply responsible AI practices: safety filters, bias detection, guardrails, hallucination mitigation, and content moderation
• Architect scalable, production-grade solutions using Vertex AI Agent Builder, Vertex AI Search, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, and other GCP services
• Build evaluation and monitoring frameworks to measure assistant quality, latency, cost, and user satisfaction in production, including ADK built-in evaluation and tracing capabilities
• Partner with product managers, data engineers, and business stakeholders to translate requirements into AI-powered solutions
• Stay current with the evolving AI landscape, evaluate emerging models and tools, and recommend adoption when appropriate

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience)
• 5+ years of software engineering experience, including at least 2+ years focused on AI/ML or LLM-based agentic development
• Hands-on experience with Google Cloud Platform, especially BigQuery, Cloud Storage, Cloud Run, or Cloud Functions
• Hands-on experience with Vertex AI Agent Builder, Vertex AI Search, or Dialogflow CX
• Hands-on experience with Google Cloud SDKs (Vertex AI SDK, Google Gen AI SDK) for model invocation, tuning, and deployment workflows
• Strong proficiency in Python and familiarity with ML/AI frameworks and libraries (e.g., LangChain, LlamaIndex, TensorFlow, PyTorch)
• Experience building agentic applications with LLMs including prompt engineering, function calling, embeddings, and RAG
• Solid understanding of API design, microservices architecture, and cloud-native development patterns
• Familiarity with Git, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform, Cloud Build)

Technologies

• Google Cloud Platform (GCP)
• Vertex AI
• Vertex AI Agent Builder
• Vertex AI Search
• Google Agent Development Kit (ADK)
• Vertex AI SDK for Python
• Google Gen AI SDK
• Google Cloud AI/ML SDKs
• Google Cloud SDKs
• Cloud Run
• Cloud Functions
• Pub/Sub
• BigQuery
• Cloud Build
• Terraform
• Python
• LangChain
• LlamaIndex
• TensorFlow
• PyTorch
• Dialogflow CX
• Git

Benefits

• Paid time off
• Medical/dental/vision insurance
• 401(k)
• Suite of well-being benefits to eligible employees

Preferred Qualifications

• Google Cloud certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Architect)
• Exposure to multi-agent architectures, tool-use patterns, and agentic AI frameworks
• Experience with vector databases (e.g., Vertex AI Vector Search, AlloyDB, Pinecone, Weaviate) and embedding-based retrieval
• Knowledge of MLOps practices including experiment tracking, model versioning, A/B testing, and monitoring in production
• Experience working in regulated industries (healthcare, finance, insurance) with an understanding of data privacy and compliance requirements

Minimum Education Requirements

• High school degree or equivalent required unless otherwise noted above

Location: Hingham, MA (onsite) / Boston, Hingham

Time type: Full time

Salary range: $140,310.00 - $171,490.00 per year

Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience)