Role Description
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
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
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
Benefits
- Training & Development
- Work From Home
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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