Process Automation Engineer

Posted 4 months agoViewed

USFull-TimeSaaS Solutions

Company:Truckstop

Location:US

Languages:English

Seniority level:Senior, 3-5 years

Experience:3-5 years

Skills:

AWSPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingGCPMachine LearningData engineeringServerlessCI/CDRESTful APIsData analytics

Requirements:

3-5 years of experience in software development, process automation, AI/ML implementation, or data analytics
Strong proficiency in SQL and Python
Demonstrated experience with AI/LLM integration, particularly in business process automation contexts
Experience with large language models and advanced prompt engineering techniques
Hands-on experience building AI agents or agentic workflows for business process automation
Proficiency with low-code/no-code platforms (e.g. Retool, Zapier) and ability to integrate them with custom solutions
Experience with cloud infrastructure (AWS, Azure, GCP) and modern data warehousing (BigQuery, Snowflake, etc.)
Experience with data analysis and visualization tools
Experience with workflow and orchestration engines (Airflow, dbt, Luigi, Airbyte, etc)
Track record of successfully translating business requirements into technical solutions
Experience with stakeholder management and cross-functional collaboration
Knowledge of software engineering best practices for building scalable, maintainable systems
Exceptional ability to communicate complex technical concepts to non-technical business stakeholders
Strong consultative approach to understanding business processes and identifying automation opportunities
Ability to work collaboratively across multiple business units
Proficiency in researching and implementing emerging AI technologies through proof-of-concept development
Background in financial services, fintech, or similar data-intensive industries
Strong analytical and problem-solving skills

Responsibilities:

Design and implement AI-powered automation workflows using prompt engineering techniques and agentic AI systems
Build scalable business applications and custom solutions
Collaborate with internal stakeholders to understand operational processes
Translate complex business requirements into technical specifications
Create intuitive user experiences for internal tools and automate manual processes
Research and prototype emerging AI technologies
Integrate consumer large language models (Google Gemini, Claude, OpenAI) into business process automation contexts
Design and implement serverless compute solutions and integrate with APIs
Implement software engineering best practices including version control, CI/CD pipelines, code review processes, and automated testing
Develop and maintain data pipelines, dashboards, and reporting systems using SQL, Python, and cloud infrastructure
Manage multiple projects simultaneously while maintaining clear communication with stakeholders