Forward Deployed Engineer

Coforge; Wilmington (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

Cforge is seeking a Forward Deployed Engineer (FDE 2) to lead AI-powered cloud-native development using Azure AI services, Azure OpenAI, and vector databases. You will design, implement, and deploy advanced AI architectures like RAG, build orchestration workflows, and ensure secure cloud patterns on Azure.

The role requires collaboration with cross-functional teams to drive innovative AI solutions. The ideal candidate has 5–7 years in AI application development, strong Python skills, and

Qualifications

• Proven experience with Azure AI services and deployment of AI solutions on Azure.
• Hands-on implementation of RAG architectures using vector databases (e.g., Chroma, Pinecone).
• Strong programming skills in Python and experience with API-based architectures.
• Familiarity with containerization and Kubernetes.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-7 years of relevant experience in AI application development and cloud technologies.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Responsibilities

• Design and develop AI-powered applications utilizing Azure AI services, Azure OpenAI, and related frameworks.
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic retrieval techniques.
• Develop orchestration workflows that integrate AI agents with human-in-the-loop review processes.
• Build cloud-native applications using Python and API-based architectures.
• Deploy AI solutions on Azure, leveraging managed services and secure cloud patterns.
• Collaborate with teams to ensure the successful integration of AI technologies into existing systems.

Skills

Azure AI services

RAG architectures

Python

API-based architectures

Containerization

Kubernetes

Cloud technologies

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Chroma

Pinecone

Job description

Job Summary

We are seeking a skilled Forward Deployed Engineer (FDE 2) with a strong background in AI-powered applications and cloud-native development. The ideal candidate will have hands-on experience with Azure AI services and a proven track record in implementing advanced AI architectures. This role requires a blend of technical expertise and the ability to work collaboratively with cross-functional teams to deliver innovative solutions.

Responsibilities

• Design and develop AI-powered applications utilizing Azure AI services, Azure OpenAI, and related frameworks.


• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic retrieval techniques.


• Develop orchestration workflows that integrate AI agents with human-in-the-loop review processes.


• Build cloud-native applications using Python and API-based architectures.


• Deploy AI solutions on Azure, leveraging managed services and secure cloud patterns.


• Collaborate with teams to ensure the successful integration of AI technologies into existing systems.

Skills Required :

• Proven experience with Azure AI services and deployment of AI solutions on Azure.


• Hands-on implementation of RAG architectures using vector databases (e.g., Chroma, Pinecone).


• Strong programming skills in Python and experience with API-based architectures.


• Familiarity with containerization and Kubernetes.


• Bachelor's degree in Computer Science, Engineering, or a related field.


• 5-7 years of relevant experience in AI application development and cloud technologies.


• Strong problem-solving skills and the ability to work in a fast-paced environment.


• Excellent communication and collaboration skills.

Preferred Skills

• Experience with agentic AI platform implementations.


• Knowledge of AI Foundry, LangChain, LangGraph, or similar frameworks.


• Understanding of semantic retrieval techniques.