Key R͏esponsibilities
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
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
Q͏ualifications
• 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
• Training & Development
• Work From Home