Senior Forward Deployed AI Engineer
New
J
JobgetherAI Engineering
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonSQLAzureFastAPINext.jsdbtLLM
Requirements
- 5+ years of professional experience with Python as a primary programming language.
- Strong experience designing and implementing data models, including dimensional modeling and enterprise data warehouse schemas.
- Hands-on experience building production-grade ETL/ELT pipelines with batch and incremental processing.
- Advanced SQL skills and experience with Snowflake, Databricks, or similar cloud data warehouse/lakehouse technologies.
- Proficiency with dbt, including modular SQL transformations, testing, and documentation.
- Experience building APIs and backend services using FastAPI with asynchronous design.
- Strong frontend development experience with Next.js.
- Strong PostgreSQL experience, including schema design and optimization.
- Experience building AI-powered applications using RAG, LLM workflows, and agentic systems.
- Experience using AI development tools such as Claude Code or Cursor.
- Experience managing cloud deployments and CI/CD pipelines on AWS or Azure.
- Strong communication skills for client collaboration.
Responsibilities
- Own projects from discovery and solution design through architecture, development, deployment, and production support.
- Design and build scalable data foundations, including data models, schemas, dimensional models, ETL/ELT pipelines, and slowly changing dimensions.
- Develop full-stack applications using modern backend and frontend technologies to enable data-driven and AI-powered workflows.
- Build Python-based services and APIs, including scalable FastAPI applications and backend systems.
- Develop modern frontend experiences using frameworks such as Next.js, focusing on usability and performance.
- Design and implement AI capabilities, including RAG pipelines, agentic workflows, LLM-powered applications, and AI-assisted automation.
- Build and optimize AI workflows using tools such as MCP servers, Skills, Plugins, and related AI orchestration technologies.
- Develop and manage data pipelines and workflow orchestration using technologies such as Airflow, Dagster, Prefect, Celery, or Temporal.
- Own CI/CD processes and cloud deployments across AWS and Azure environments.
- Translate complex business requirements into technical solutions and communicate trade-offs clearly with technical and non-technical stakeholders.
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