Full Stack Engineer with AI Experience

Diligente Technologies; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Diligente Technologies in Sunnyvale, CA, is seeking a seasoned software engineer to build production-grade cloud services. You will work across backend and frontend stack, design APIs, and contribute to AI/ML-enabled products using modern frameworks.

You should have 7+ years in C++, Go, C#, Java, TypeScript or Python, plus scripting for automation. Familiarity with FastAPI, gRPC, React, Kafka, Spark, LangChain and AI tooling is highly valued.

Qualifications

• 7+ years of programming experience in C++, Go, C#, Java, TypeScript, or Python to deliver production grade cloud services.
• 7+ years of scripting experience in Python or Bash for automation and tooling.
• Proficiency with modern backend and frontend technologies (e.g., FastAPI, Kestrel, gRPC, Next, React).
• Experience with ML/data tooling (Ray, Kafka, Spark) is a plus.
• Experience shipping AI/ML/LLM applications at scale is a plus.
• Designing RESTful APIs and event-driven architectures with cloud deployments.

Skills

C++

Go

C#

Java

TypeScript

Python

Automation scripting

REST APIs

Tools

FastAPI

Kestrel

gRPC

Next

React

Ray

Kafka

Spark

LangChain

LangGraph

ChatGPT API

Glean API

Cursor

ChatGPT Codex

Claude

Job description

• 7+ years of programming experience in C++, Go, C#, Java, TypeScript, or Python to deliver production grade cloud services.
• 7+ years of experience scripting in Python or Bash for automation and tooling.
• Proficiency in modern backend and frontend technologies (e.g., FastAPI, Kestrel, gRPC, Next, React).
• Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark) is a plus.
• Experience shipping production-grade AI/ML/LLM-based applications, at scale, is a plus.
• Growing proficiency witSolid experience in designing RESTful APIs, event-driven integration architectures
• Experience in cloud environments (AWS, Azure, GCP), container orchestration and a good understanding of DevOps and CI/CD principles.
• Experience designing, building, and deploying production-grade applications and microservices
• Familiarity with GenAI frameworks (LangChain, LangGraph, ChatGPT API, Glean API) and their application in real-world products. Also, proficiency with one or more of the following dev AI tools: Cursor, ChatGPT Codex, Claude.
• Solid understanding of API design, cloud environments (AWS, GCP, or Azure), and DevOps best practices
• Passion for building user-facing tools that enhance business productivity and employee experience