Forward Deployed AI Engineer

About the role

TechTorch is seeking a Forward Deployed AI Engineer to build end-to-end AI-native systems that automate complex real-world workflows. You will own the entire development lifecycle, from discovery and data foundation design to production deployment, using AI coding agents as a primary accelerator. This role requires a hands-on engineer capable of shaping architecture and delivering production-grade applications in a fast-moving, client-facing environment.

Responsibilities

• Own work end to end from discovery and solution shaping through system design, build, and production deployment.
• Design and build the data foundation including data models, schema design, ETL/ELT pipelines, and slowly changing dimensions.
• Build full-stack applications using Python/FastAPI services and Next.js frontends.
• Use AI coding agents as a primary build accelerator to move from spec to working software.
• Design and build AI capabilities such as RAG pipelines, agentic workflows, and LLM-in-the-loop processing.
• Orchestrate pipelines and automation using tools like Airflow, Dagster, Prefect, Celery, or Temporal.
• Manage CI/CD and cloud deployments on AWS or Azure.

Required skills

• Data modeling
• Dimensional modeling
• ETL/ELT
• dbt
• SQL
• Python
• FastAPI
• Next.js
• PostgreSQL
• System design
• AWS
• Azure
• CI/CD

Nice to have

• Salesforce
• NetSuite
• LangGraph
• RAG engineering
• Airflow
• Dagster
• Prefect
• Temporal
• Kafka
• Spark Streaming

Benefits

• Fully remote work
• Semi-annual team offsites

About the Company

TechTorch is building the future of intelligent work by helping companies design, build, and deploy AI agents that automate complex, real-world workflows. The company focuses on delivering reliability, measurable ROI, and efficiency gains through production-grade AI systems.