Forward Deployed Engineer

The role

This person will design and build end-to-end products including data foundations and full-stack applications. They will use AI coding agents to deliver production-grade AI systems and automate workflows.

What you will do

• Own work end to end from discovery to production deployment
• Design and build the data foundation including models, schema, and ETL/ELT pipelines
• Build full-stack applications using Python/FastAPI and Next.js
• Use AI coding agents as a primary build accelerator
• Design and build AI capabilities like RAG pipelines and agentic workflows
• Orchestrate pipelines and automation with tools like Airflow, Dagster, Prefect, Celery, or Temporal
• Stand up and own CI/CD and cloud deployments on AWS and Azure
• Translate ambiguous client requirements into clear designs
• Contribute reusable accelerators and technical assets to the Data Practice

Required qualifications

• Data modeling and schema design
• Hands-on data pipeline experience with ETL/ELT design
• Knowledge of Slowly Changing Dimensions (SCD)
• dbt Experience
• Advanced SQL
• Experience with at least one modern data platform like Snowflake or Databricks
• Data quality thinking including testing, validation, and lineage
• Python as a primary language
• FastAPI
• Next.js
• PostgreSQL
• System design

Nice to have

• Commercial data fluency with CRM (Salesforce) and ERP (NetSuite)
• Agentic AI depth with LangGraph or comparable
• RAG engineering
• Experience in a consulting or client-delivery environment
• Workflow orchestration breadth across multiple tools
• Streaming data patterns like Kafka, Spark Streaming, or Flink
• Vector databases like Pinecone, Weaviate, Qdrant, or pgvector
• Experiment tracking with MLflow, Weights & Biases, or similar
• Contributions to open-source AI or data tooling
• Multi-cloud or hybrid cloud architecture exposure

Benefits

• Fully remote
• Semi-annual team offsites
• High-autonomy, high-ownership work
• Access to the full modern data and AI stack
• Room to grow toward data architecture, platform leadership, or AI engineering depth

About the company

TechTorch is building the future of intelligent work by helping companies design, build, and deploy AI agents that automate complex workflows. The Data Practice sits at the intersection of enterprise data and applied AI.