What You'll Do
- Client-Facing Technical Leadership (50%)
- Serve as the first point of contact for client technical requests and advanced automation needs
- Lead client discovery sessions to identify high-leverage opportunities for AI, LLMs, and agentic workflows
- Design integrated data and AI architectures connecting marketing platforms to data warehouses and LLM services
- Present technical recommendations to client stakeholders, focusing on the ROI of automation and agentic systems
- Troubleshoot integration issues, data discrepancies, and technical blockers across AI stacks
- Build trusted advisor relationships: clients should see you as their go-to expert in AI and Automation
- Solution Design & Implementation (50%)
- Design end-to-end agentic data and workflow architectures: data sources → automation platform / LLM → actions / dashboards
- Implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal)
- Design and deploy agentic workflows for automated marketing tasks, data quality checks, and predictive analytics
- Develop and fine-tune LLM applications for data enrichment, content generation, and data segmentation
- Collaborate with data engineering teams on MLOps and automation pipeline development
- Document technical solutions, agent architecture patterns, and best practices for reusable deployment
- Test and validate the accuracy and performance of automation and AI-driven outputs
What We're Looking For
- 5+ years of experience in technical roles focused on software engineering, data integration, or analytics
- Agency, consultancy, or client services background with a strong understanding of client delivery
- Deep hands-on experience with data warehousing platforms such as Snowflake and BigQuery
- Proficiency with ETL / data integration tools including Glue, AirByte, Python, and custom APIs
- Strong SQL skills and experience with data modeling
- Proficiency in Python for scripting, data manipulation, and deploying AI / ML models
- Proven experience working with AI / ML / LLM technologies in a data or workflow automation context
- Client-facing experience including leading discovery sessions, presenting solutions, and managing stakeholder expectations
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI / ML services
- Understanding of Generative AI use cases and prompt engineering best practices
- Strong written and verbal communication skills in English
Company Benefits
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Skills Required
- 5+ years of experience in technical roles focused on software engineering, data integration, or analytics
- Deep hands-on experience with data warehousing platforms such as Snowflake and BigQuery
- Proficiency with ETL / data integration tools including Glue, AirByte, Python, and custom APIs
- Strong SQL skills and experience with data modeling
- Proficiency in Python for scripting, data manipulation, and deploying AI / ML models
- Proven experience working with AI / ML / LLM technologies in a data or workflow automation context
- Client-facing experience including leading discovery sessions, presenting solutions, and managing stakeholder expectations
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI / ML services
- Understanding of Generative AI use cases and prompt engineering best practices
- Strong written and verbal communication skills in English
What We Do
Helping companies to disrupt in the cloud by providing: - Nearshore Staffing - Cloud consulting - Cloud migration strategies - Cloud native development Process Management and Improvement: Define a working methodology according to the best practices of development to fulfill customer needs. Champion ongoing processes and initiatives to implement the best practices of project management. Research about the latests technologies which could be applied to a project in order to innovate and satisfy project needs Team Building & Management: Empowering teams to ensure every member participation and engagement to the project. Ensure every member is proactively contributing to the progress of the project. Contribute and encourage the team to always provide velocity and quality for every deliverable.








