Software Engineer, AI Platform (AI)

TL;DR

Software Engineer, AI Platform (AI/Python): Building and owning the data platform, ETL pipelines, and agent infrastructure for production AI reliability with an accent on LLM-driven data transformation and structured output. Focus on optimizing throughput, cost, and observability of AI jobs while maintaining high iteration speed in an early-stage environment.

Location: On-site in San Francisco, CA (5 days a week)

Salary: $180,000 – $250,000 + Equity

Company

hirify.global builds a platform that captures and analyzes observable work data inside large organizations to measure productivity and identify AI automation opportunities.

What you will do

• Own and evolve the core data platform powering every job across the company.
• Design and run LLM ETL pipelines for data ingestion, transformation, enrichment, and storage.
• Build agent transformation infrastructure to convert agent outputs into structured, queryable downstream data.
• Optimize reliability, throughput, and costs of production LLM-driven jobs.
• Develop observability tooling to enable the team to debug and iterate rapidly.
• Collaborate with AI Engineers to shape platform interfaces and expose new capabilities.

Requirements

• Strong Python engineering experience supporting production systems (e.g., FastAPI).
• Proven experience building production pipelines handling non-trivial volume, retries, and failure recovery.
• Hands-on experience with data orchestrators (Dagster, Airflow, Prefect, or Temporal) and dbt.
• Proficiency with PostgreSQL at scale, including schema design and migrations.
• Experience with AWS infrastructure (ECS, Lambda, SQS, Step Functions, RDS, S3) and IaC (Terraform/Terragrunt).
• Familiarity with LLM APIs and their operational constraints (latency, cost, failure modes).

Nice to have

• Experience with distributed compute for Python (Anyscale Ray, Dask, or Spark).
• Proficiency with Polars and Pandas for data processing.
• Experience with Datadog for observability and metrics.
• Familiarity with pgvector or other vector stores.
• Multi-region AWS deployment experience and some TypeScript/Node.js knowledge.

Culture & Benefits

• Competitive base salary and ESOP equity.
• $1,000 per month food and commuting allowance.
• Laptop of choice.
• E-3 sponsorship and relocation stipend available for Australians.
• Fast-paced, early-stage startup environment emphasizing rapid iteration.

Hiring process

• Resume screen.
• 1:1 interview with the founder.
• Technical deep-dive on past data platform or backend engineering work.
• Collaborative problem-solving session with the team.