AI Engineer (Go)

Location: Worldwide, 100% remote, with 5 hours of daily overlap with US Eastern time.

Salary: $90,000–$100,000 USD per year

Company

Benzinga is a financial media and data technology company building structured news, sentiment analytics, and market data APIs for banks, fintech companies, and AI companies.

What you will do

• Build and ship production AI microservices for summarization, RAG, embedding search, event detection, and time series forecasting.
• Deliver low-latency Go APIs designed for high request volumes.
• Design real-time inference pipelines on AWS using Kafka, Kubernetes, and S3.
• Transform unstructured financial text, filings, and earnings transcripts into structured, commercial data.
• Implement monitoring, drift detection, evaluation, and retraining workflows.
• Own deployments using Docker, Kubernetes, ArgoCD, and GitLab CI/CD.

Requirements

• 4+ years of experience building production systems in AI/ML or data engineering.
• Strong Python and strong Go, or strong systems experience in another compiled language with the ability to become productive in Go within one month.
• Hands-on experience putting LLMs into production, including RAG, embeddings, evaluation, context engineering, and cost and latency tuning.
• Experience with distributed systems and technologies such as Kafka, Kubernetes, Postgres, and Redis.
• Strong independent judgment and ownership of problems from idea through production.
• Obsession with fintech, financial markets, or related products is required.

Nice to have

• Startup experience or a track record of shipping without a manager.
• Experience with fintech, market data, or financial news NLP.
• Experience with vector search tools such as OpenSearch kNN, Pinecone, Weaviate, or FAISS.
• Model training or fine-tuning with PyTorch, TensorFlow, or Hugging Face.
• Open-source contributions to ML or Go projects.

Culture & Benefits

• Small technical team with direct ownership and no layers or roadmap by committee.
• Work typically ships to paying customers within weeks.
• Fully remote work from anywhere.
• Unlimited time off.

Hiring process

• Submit a Loom video walkthrough under 5 minutes showing the best thing built, alongside a repository or live link.
• Explain the hardest problem encountered, how it was solved, and the relevant architecture decisions and tradeoffs.