Key RÍŹesponsibilities
Deployment & Implementation Support:
- Assist in deploying and configuring AI and platform solutions within customer environments
- Support integration of solutions with client systems, data sources, and workflows
- Perform testing, validation, and environment readiness activities
- Troubleshoot implementation and integration issues under guidance
Applied AI Enablement:
- Support integration of LLM‑based applications and AI agents
- Assist with prompt configuration, RAG pipelines, embeddings, and vector search
- Help monitor system performance, data quality, and basic operational metrics
Customer Collaboration:
- Work with senior FDEs during customer discovery, implementation sessions, and workshops
- Communicate technical findings and progress clearly to internal teams
- Assist in creating documentation, runbooks, and training materials for customers
Product & Engineering Feedback:
- Capture implementation learnings and recurring challenges from customer environments
- Share feedback with internal product and engineering teams to improve future deployments
- Contribute reusable scripts, templates, or configuration assets
Requirements
Deployment & Integration
- Programming experience in Python, JavaScript, Java, or similar
- Experience working with APIs and basic system integrations
- Familiarity with databases (SQL or NoSQL)
- Exposure to cloud platforms (AWS, Azure, or GCP)
Applied AI (Foundational)
- Basic understanding of AI / ML concepts
- Exposure to LLM‑based applications or AI tools through coursework, projects, or internships
- Willingness to learn applied AI implementation patterns
Operational & Professional Skills
- Debugging and problem‑solving in real‑world environments
- Version control basics (Git)
- Clear written and verbal communication
- Ability to work in structured but evolving delivery environments
Soft Skills
- Curiosity and willingness to learn in complex environments
- Structured problem‑solving mindset
- Professional communication with customers and internal teams
- Ability to work collaboratively with guidance
- Excellent communication, analytical, and problem-solving skills
- Demonstrated teamwork and leadership abilities
QÍŹualifications
- Recent graduate of a Bachelor’s or Master's degree program in Computer Science, Engineering, or a related technical field
- Minimum of a 3.0 on a 4.0 GPA scale
- 0–2 years of experience in software engineering, technical consulting, or implementation roles
- An internship or relevant experience will be considered a plus
- Strong interest in customer‑facing engineering and applied technology delivery
Benefits
- Training & Development
- Work From Home