Forward Deployed AI Engineer
Techtorch (company site, opens in a new tab)HybridDirect career pageEst. 12–22 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of AI-enabled full-stack systems including client discovery, system design, data foundation build, and production deployment.
- Design and implement robust data foundations with dimensional modeling, schema design, ETL/ELT pipelines, and maintain Slowly Changing Dimensions in production.
- Develop full-stack applications (Python/FastAPI and Next.js), integrate AI capabilities and orchestrate workflows using cloud deployments on AWS/Azure with CI/CD ownership.
Minimum Requirements
- Deep hands-on experience in data engineering including data modeling, ETL/ELT pipelines, Slowly Changing Dimensions, dbt, advanced SQL, and cloud modern data platforms (e.g., Snowflake, Databricks).
- Proficiency in full-stack development: Python (services and automation), FastAPI, Next.js frontend, PostgreSQL schema/query optimization, and system design from scratch.
- Experience with AI-paired engineering tools (e.g., Claude Code) as a core build accelerator and cloud CI/CD deployments on AWS or Azure independently.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Operator who integrates technical delivery and client interaction, able to translate ambiguous requirements into production-grade AI and data solutions with full ownership.
- Highly skilled cross-disciplinarian comfortable in both advanced data engineering and full-stack AI product development, with strong opinions and proven delivery in production environments.
- Experienced in using AI coding agents to enhance productivity and accelerate software development rather than just autocomplete features.