Senior Software Engineer, Applied AI (AI Engineering)

TL;DR

Senior Software Engineer, Applied AI (AI Engineering): Building and optimizing backend systems, data pipelines, and AI integrations for an AI-driven scientific platform with an accent on backend engineering and machine learning. Focus on building performant, elegant systems that make AI useful and impactful.

Location: Cambridge, MA USA

Salary: $148,000–$210,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

What you will do

• Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
• Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
• Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
• Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
• Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
• Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.

Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
• Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
• Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
• Hands-on experience integrating ML models or AI-driven workflows into production services.
• Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.

Nice to have

• Experience working with life sciences, materials sciences, or other research-heavy fields.
• Comfort with fast-paced, iterative environments where impact and adaptability matter.

Culture & Benefits

• Bonus potential and generous early equity.
• Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.