Role Description
Job Title: Junior Forward Deployed Engineer(FDE)
Location: Milford, OH/Onsite
Position type: Full time/Permanent role
Job Description
Must Have Technical/Functional Skill
· Must have hands-on programming experience in Python with strong coding and debugging skills.
· Must have experience in SQL, data processing, and relational database concepts.
· Must have experience in developing and consuming REST APIs and enterprise integrations.
· Must have strong understanding of Data Structures, Algorithms, and Problem-solving techniques.
· Must have experience with Git, version control, and CI/C D practices.
· Must have working knowledge of Cloud Platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
· Must have 1 year experience building or supporting AI/GenAI applications using LLMs, Prompt Engineering, and RAG concepts.
· Must have minimum 1 year experience in application troubleshooting, testing, deployment, and production Support.
Roles & Responsibilities
· Understand customer business challenges and translate them into scalable technical solutions.
· Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices.
· Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements.
· Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
· Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis.
· Work with Cloud, Containerization, and CI/CD technologies to support production deployments.
Pay: $52,100.00 - $100,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Retirement plan
Work Location: Hybrid remote in Milford, OH 45150
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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