Forward Deployed Engineer

neurohire.ai

7d • Remote

About The Position

The Forward Deployed Engineer supports the deployment and configuration of AI and platform solutions in customer environments, including integration with client systems, data sources, and workflows. The role performs testing, validation, environment readiness, and guided troubleshooting of implementation and integration issues.

The position supports applied AI enablement, including LLM-based applications and AI agents, prompt configuration, RAG pipelines, embeddings, and vector search. It also helps monitor system performance, data quality, and basic operational metrics.

Working with senior Forward Deployed Engineers, this role participates in customer discovery, implementation sessions, and workshops. It communicates technical findings and progress to internal teams and helps create customer documentation, runbooks, and training materials. The engineer also captures implementation learnings, shares recurring challenges with product and engineering teams, and contributes reusable scripts, templates, and configuration assets.

The position is intended for a recent technical graduate with 0–2 years of relevant experience and a strong interest in customer-facing engineering and applied technology delivery. Work from home is indicated.

Requirements

• Programming experience in Python, JavaScript, Java, or a similar language.
• Experience working with APIs and basic system integrations.
• Familiarity with SQL or NoSQL databases.
• Exposure to AWS, Azure, or GCP cloud platforms.
• 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.
• Debugging and problem-solving skills in real-world environments.
• Basic version control knowledge, including Git.
• Clear written and verbal communication.
• Ability to work in structured but evolving delivery environments.
• 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.
• Recent graduate of a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related technical field.
• Minimum GPA of 3.0 on a 4.0 scale.
• 0–2 years of experience in software engineering, technical consulting, or implementation roles.
• Strong interest in customer-facing engineering and applied technology delivery.

Nice To Haves

• An internship or relevant experience.

Responsibilities

• 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.
• 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.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level