Software Engineer II, Data Infrastructure (AI)

TL;DR

Software Engineer II, Data Infrastructure (AI): Building and optimizing AI-powered software and self-service applications to make data more discoverable, queryable, and analyzable. Focus on designing and building production backend services and APIs, embedding intelligent workflows into business processes, and leveraging cloud-native development with applied AI.

Location: Hybrid work environment in Livingston, NJ, New York, NY, Bellevue, WA, or Sunnyvale, CA. Remote work may be considered for candidates located more than 30 miles from an office, but is restricted to the US.

Salary: $99,000–$145,000

Company

hirify.global is The Essential Cloud for AI, building a platform of technology and tools that enables innovators to build and scale AI with confidence.

What you will do

• Design and build AI-enabled production software and self-service applications for data discovery, querying, and analysis.
• Develop AI-powered services like intelligent query interfaces, scalable data access APIs, and automation workflows.
• Collaborate with senior engineers, data engineers, and platform teams to deliver reliable, well-tested systems.
• Grow skills in distributed computing, cloud-native development, and applied AI.

Requirements

• 5+ years of professional software engineering experience building and maintaining production systems.
• Proficiency in at least one general-purpose programming language (e.g., Python, TypeScript, Go, Java, C#, C++).
• Experience designing and building backend services and APIs (e.g., REST, gRPC).
• Experience with modern web frameworks for full-stack development (e.g., FastAPI, Flask, React, Next.js).
• Experience using Kubernetes to develop and deploy cloud-native applications.
• Must be eligible to access export controlled information, defined as a U.S. citizen or national, U.S. lawful permanent resident (green card holder), refugee, or asylee.

Nice to have

• Exposure to AI/ML-enabled application development, including LLM-based features or agents.
• Familiarity with AI and agent frameworks like LangChain, LlamaIndex, or Guidance.
• Experience building RAG-style systems using vector databases such as Chroma or Pinecone.
• Familiarity with data and streaming tools (e.g., Spark, Kafka, Ray).

Culture & Benefits

• Comprehensive benefits including medical, dental, and vision insurance (100% company-paid).
• 401(k) with a generous employer match.
• Flexible PTO and paid parental leave.
• Mental wellness and family-forming support.
• Tuition reimbursement and Employee Stock Purchase Program.
• Catered lunch in office locations and a casual work environment.