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