Technical Lead - AI/Data Engineering
INFT Solutions inc
United States
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
JavaScript (Programming Language)
Artificial Intelligence
Amazon Web Services
Amazon S3
Data Analysis
Cloud Engineering
Code Review
Continuous Integration
Information Engineering
Data Governance
Data Infrastructure
Extract Transform Load (ETL)
+21 more
Python (Programming Language)
OAuth
OpenID
Standard Sql
Software Engineering
SonarQube
Enterprise Data Management
Large Language Models
Prompt Engineering
AWS Lambda
Gitlab
Vue.js
Pytest
Data Lakes
AWS Fargate
Machine Learning Operations
Cloudwatch
Restful APIs
Terraform
Docker
Databricks
Job description
- RAG & Prompt Engineering
- Agentic AI Workflows
- Vector Databases
- Amazon Bedrock
- Databricks AI/Data Platform
- Enterprise Data Engineering & Analytics
Preferred
- AWS: Lambda, S3, Glue, Athena, CloudWatch, ECS/Fargate, Step Functions
- LangChain / LangGraph
- Vue.js / JavaScript
- PyTest / SonarQube / Ruff / Black
Requirements
- 15+ Years of Software Development / Data Engineering
- 3+ Years Technical Team Leadership
- Strong Python + SQL
- AWS + Databricks
- AI/LLM: RAG, Prompt Engineering, Agentic Workflows
- Vector Databases & Amazon Bedrock
- Databricks: Genie, Unity Catalog, Delta Lake, MLflow, Databricks SQL
- REST APIs + OAuth/OIDC
- ETL/ELT + Data Modeling + Data Governance
- Terraform + GitLab + CI/CD + Docker
- Cloud-native architecture & solution design
- Security, code reviews, performance & production support
- Strong stakeholder management & mentoring
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