What are the responsibilities and job description for the Forward Deployed Engineer (FDE) – AI / Generative AI position at Value Technology Inc?
Job Title: Forward Deployed Engineer (FDE) – AI / Generative AI
Company: Value Technology
Experience: 2 in FDE and 8 over all
Job Type: Contract / Full-Time
Location: Charlotte NC/ Remote
Job Summary
Value Technology is seeking an experienced Forward Deployed Engineer (FDE) to work closely with customers, business stakeholders, and engineering teams to design, develop, and deploy AI-powered enterprise solutions.
The ideal candidate combines strong software engineering skills with customer-facing technical expertise. The candidate will translate business requirements into scalable applications, integrate enterprise systems, implement Generative AI and Large Language Model (LLM) solutions, and troubleshoot technical challenges in production environments.
Candidates should have hands-on experience with Python or Java, APIs, cloud platforms, and modern AI technologies, including RAG and AI agents.
Key Roles and Responsibilities
- Work directly with customers and stakeholders to understand business problems and technical requirements.
- Translate customer requirements into technical designs, prototypes, and production-ready solutions.
- Develop and deploy AI-powered applications using Python, Java, or other suitable programming languages.
- Build and integrate Generative AI and LLM-based solutions into enterprise workflows.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, and semantic search.
- Develop AI agents, tool-calling workflows, and agentic applications to automate business processes.
- Integrate enterprise systems using REST APIs, microservices, databases, and third-party services.
- Deploy and maintain applications on cloud platforms such as AWS, Azure, or Google Cloud.
- Build proof-of-concepts (POCs), prototypes, and minimum viable products (MVPs) to validate customer use cases.
- Troubleshoot application, data, integration, and production issues.
- Monitor application performance, reliability, security, and scalability.
- Collaborate with product managers, data scientists, software engineers, and customer teams.
- Gather customer feedback and translate it into product improvements and engineering solutions.
- Document technical designs, implementation approaches, and deployment procedures.
Required Qualifications
- 5 years of experience in software engineering, application development, or a related technical role.
- Strong programming skills in Python or Java.
- Experience building production-grade applications, backend services, and RESTful APIs.
- Hands-on experience integrating enterprise systems, databases, and external APIs.
- Practical experience with Generative AI, LLMs, prompt engineering, or AI application development.
- Understanding of RAG, vector embeddings, vector databases, and semantic search.
- Knowledge of AI agents, tool calling, and agentic workflows.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong debugging, problem-solving, and system integration skills.
- Excellent communication skills and the ability to work directly with customers.
- Ability to translate business requirements into technical solutions and deliver working software.
Preferred Qualifications
- Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
- Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
- Experience with OpenAI APIs, Azure OpenAI, Anthropic APIs, or other LLM platforms.
- Knowledge of Docker, Kubernetes, CI/CD, and infrastructure as code.
- Experience with SQL, PostgreSQL, MongoDB, or other enterprise databases.
- Familiarity with data pipelines, ETL processes, and enterprise data integration.
- Experience deploying, monitoring, evaluating, and securing AI applications.
- Previous experience in consulting, customer engineering, solution architecture, or technical implementation.
- Ability to travel to customer locations when required.
Mandatory Skills
Python or Java, Software Engineering, REST APIs, Enterprise Integrations, Generative AI, LLMs, RAG Fundamentals, Cloud Platforms, Problem-Solving, Customer Communication.
Preferred Skills
LangChain, LangGraph, AI Agents, Tool Calling, Vector Databases, Embeddings, Semantic Search, AWS, Azure, Google Cloud Platform, Docker, Kubernetes, CI/CD, SQL.