AI Engineer I (Generative AI)

Location: Waltham, MA, United States of America

Estimated salary: $130,000–$160,000 per year, plus eligibility for variable cash programs and, where applicable, equity.

Company

hirify.global develops technologies and solutions for bioprocessing and the production of biologic drugs.

What you will do

• Build reusable AI platform components, starter kits, developer patterns, and governance-by-code practices for enterprise AI adoption.
• Develop and orchestrate multi-agent AI systems for task planning, data retrieval, tool use, and complex business workflows.
• Design and maintain prompt-engineering strategies, RAG pipelines, embedding pipelines, vector search infrastructure, and response-grounding workflows.
• Develop scalable Python backend services, APIs, and microservices integrating OpenAI, Anthropic, and Microsoft LLM capabilities.
• Deploy, monitor, troubleshoot, and optimize distributed AI solutions in Azure, AWS, and GCP for performance, scalability, cost efficiency, and reliability.
• Partner with data engineering, platform, and business teams; document architecture, design decisions, and best practices.

Requirements

• Bachelor’s degree in computer science, statistics, data science, information systems, or a related field.
• 3+ years of experience with AI technologies, particularly GenAI, LLM, agentic AI, or MLOps, delivering enterprise-scale, production-grade solutions.
• Hands-on experience building agentic AI systems, including multi-agent workflows, orchestration, tool integration, and failure handling with frameworks such as AutoGen or CrewAI.
• Experience deploying and scaling AI solutions with Azure AI Foundry, Copilot Studio, or Google Vertex AI.
• Hands-on experience with TensorFlow, PyTorch, and scikit-learn.
• Expertise in OpenAI and Anthropic API-based Generative AI and LLM application development, including advanced prompt engineering, RAG architectures, embeddings, semantic search, and contextual retrieval.
• Experience with Pinecone, FAISS, Weaviate, Databricks, or Snowflake for vector search and AI data workloads.
• Strong background in API development, microservices architecture, and distributed systems.
• Experience with knowledge graphs, graph databases, or hybrid retrieval systems.
• Proficiency in Python and experience with CI/CD, Terraform, monitoring, debugging, and managing AI/ML solutions across AWS, Azure, and GCP.

Culture & Benefits

• Work in a purpose-driven, collaborative environment focused on advancing bioprocessing and improving human health.
• Paid time off, health, dental, and vision benefits.
• Retirement benefits and flexible spending accounts.
• Eligible employees may participate in variable cash programs; eligible roles may receive equity.