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Back-End Engineer(m/w/x)
Building AI agent workflows for financial services with Python (FastAPI) on AWS serverless. Python back-end development and RESTful API experience required. Top-market equity and self-development budget.
Requirements
- Strong engineering fundamentals
- Passion for simplicity and precision
- English fluency (written and spoken)
- Python back-end development experience
- Experience building and operating RESTful APIs
- Experience working with databases
- FastAPI experience
- Pydantic experience
- DynamoDB or Postgres experience
- SQLAlchemy experience
- LLM application development exposure
- Agent frameworks exposure
- Developer tools building exposure
- Ops or on-call experience
- Distributed systems experience
- Async task processing experience
- Observability tooling experience
- AWS or similar cloud providers integration experience
Tasks
- Build and ship backend features using Python (FastAPI)
- Deploy features on AWS serverless infrastructure
- Collaborate on scope, implement, test, and release features
- Iterate on features based on usage and customer feedback
- Improve agent operations and external tool connections
- Enhance agent behavior during error conditions
- Utilize AI tools like Claude to improve speed and quality
- Build AI-native capabilities where appropriate
- Review pull requests thoroughly
- Improve test coverage and CI/CD processes
- Raise the bar on reliability and engineering excellence
- Participate in daily syncs, planning sessions, and demos
- Engage in technical deep-dive discussions
- Learn from experienced team members
- Contribute to the product's foundational layer
- Join cross-team learning groups
- Perform daytime operations duty
- Join an on-call rotation
- Own systems end-to-end
- Develop DevSecOps skills
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- RESTful APIs
- AWS
- FastAPI
- Pydantic
- DynamoDB
- Postgres
- SQLAlchemy
- LLM
- agent frameworks
- developer tools
- distributed systems
- async task processing
- observability tooling
Benefits
Competitive Pay
- Top-market equity and cash compensation
Additional Allowances
- Self-development budget
Modern Equipment
- Apple MacBook Pro
- Home office set-up
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Back-End Engineer(m/w/x)
Building AI agent workflows for financial services with Python (FastAPI) on AWS serverless. Python back-end development and RESTful API experience required. Top-market equity and self-development budget.
Requirements
- Strong engineering fundamentals
- Passion for simplicity and precision
- English fluency (written and spoken)
- Python back-end development experience
- Experience building and operating RESTful APIs
- Experience working with databases
- FastAPI experience
- Pydantic experience
- DynamoDB or Postgres experience
- SQLAlchemy experience
- LLM application development exposure
- Agent frameworks exposure
- Developer tools building exposure
- Ops or on-call experience
- Distributed systems experience
- Async task processing experience
- Observability tooling experience
- AWS or similar cloud providers integration experience
Tasks
- Build and ship backend features using Python (FastAPI)
- Deploy features on AWS serverless infrastructure
- Collaborate on scope, implement, test, and release features
- Iterate on features based on usage and customer feedback
- Improve agent operations and external tool connections
- Enhance agent behavior during error conditions
- Utilize AI tools like Claude to improve speed and quality
- Build AI-native capabilities where appropriate
- Review pull requests thoroughly
- Improve test coverage and CI/CD processes
- Raise the bar on reliability and engineering excellence
- Participate in daily syncs, planning sessions, and demos
- Engage in technical deep-dive discussions
- Learn from experienced team members
- Contribute to the product's foundational layer
- Join cross-team learning groups
- Perform daytime operations duty
- Join an on-call rotation
- Own systems end-to-end
- Develop DevSecOps skills
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- RESTful APIs
- AWS
- FastAPI
- Pydantic
- DynamoDB
- Postgres
- SQLAlchemy
- LLM
- agent frameworks
- developer tools
- distributed systems
- async task processing
- observability tooling
Benefits
Competitive Pay
- Top-market equity and cash compensation
Additional Allowances
- Self-development budget
Modern Equipment
- Apple MacBook Pro
- Home office set-up
About the Company
Taktile
Industry
FinancialServices
Description
The company is building a leading software platform for automated decisioning, helping to catch fraud and expand access to credit.
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