AI Forward Deployed Engineer - Java & GenAI
Fast prototyping with LLMs, RAG, and agent workflows; building production AI copilots and integrations.
About the Role
The AI Forward Deployed Engineer partners with business stakeholders to identify AI use cases, build prototypes, and deliver production-grade GenAI solutions. The role focuses on hands-on development and integration of LLMs, RAG, agents, cloud deployments, and enterprise APIs to create scalable, secure, and observable systems.
Job Description
Role
The AI Forward Deployed Engineer partners with business stakeholders to identify AI use cases, design and build prototypes, and deliver production-grade AI solutions integrating LLMs, RAG, agents, and enterprise systems. The role covers end-to-end development including solution architecture, system design, deployment, monitoring, and optimization in cloud environments.
Key Responsibilities
- Identify and define AI use cases with business stakeholders
- Design and develop AI/ML and GenAI-based solutions (LLMs, RAG, agents)
- Build and deploy production-ready applications, copilots, and automation tools
- Integrate solutions with enterprise systems, APIs, microservices, and databases
- Collaborate with cross-functional teams to ensure scalability, security, and reliability
- Rapidly iterate prototypes based on feedback and performance metrics
- Monitor and optimize solutions for accuracy, latency, and cost
- Create technical documentation and deployment guides
- Advise stakeholders on AI capabilities, risks, and best practices
Requirements
- Strong programming skills in Python, JavaScript/TypeScript, and Java
- Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agentic workflows
- Experience with cloud platforms (Azure, AWS, GCP) and API-based development
- Familiarity with vector databases (Pinecone, FAISS), embeddings, and retrieval systems
- Experience with MLOps practices and CI-CD pipelines
- Solid system design and solution architecture skills
- Experience with security, compliance, monitoring, and observability in AI systems
- Ability to work closely with business stakeholders in customer-facing, fast-paced environments
- Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent (preferred)