Forward Deployed Engineer - Gen AI

Position: Forward Deployed Engineer - Gen AI Location: NY, USA

About the Role

We are seeking a highly skilled Forward Deployed Engineer (FDE) to work on the design, development, and deployment of Generative AI applications . In this role, you will build production-ready AI systems using Python, LangChain/LangGraph, and Large Language Models (LLMs) , contributing to real-world deployments in fast-moving environments. This is a hands-on engineering role focused on building scalable, reliable, and maintainable AI solutions. Key Responsibilities GenAI Application Development Design, build, and deploy end-to-end Generative AI applications from concept to production.

Architecture & Implementation Architect and implement scalable and robust systems using Python, LangChain/LangGraph, and LLM frameworks.

Solution Design Translate functional and technical requirements into well-designed AI solutions .

Cross-Team Collaboration Collaborate with engineering, product, and ML teams to support platform development and improvements.

Code Quality & Reusability Write clean, maintainable code and develop reusable components to accelerate future implementations.

Cloud & Infrastructure Work across cloud platforms (AWS, Azure, GCP) to deploy secure and high-performance applications.

Process Improvement Improve deployment processes, tools, and workflows to increase efficiency and reliability.

Required Qualifications 5–8+ years of experience in software engineering or solutions engineering.

Strong proficiency in Python, LangChain, LangGraph, and SQL .

Experience with API design, microservices, and event-driven architectures .

Proven ability to deploy production-grade GenAI applications .

Hands-on experience with cloud platforms such as AWS, GCP, or Azure.

Strong problem-solving skills and the ability to work independently.

Clear and effective technical communication skills.

Preferred Qualifications

• Experience with CI/CD pipelines , infrastructure-as-code tools (Terraform, Pulumi), and containerization (Docker, Kubernetes).

• Knowledge of LLM fine-tuning, Retrieval-Augmented Generation (RAG), or AI/ML operations .

• Experience working in fast-paced or startup-like environments .

• Education Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related technical field .