AI Application Developer

October 10

Apply Now

Receive Emails with Similar Jobs

InfraCloud Technologies

WebsiteLinkedInAll Job Openings

Artificial Intelligence • SaaS • Cloud Engineering

InfraCloud Technologies is a company specializing in cloud native technologies and services. They provide expertise in building, modernizing, and managing cloud infrastructure using Kubernetes and open source technologies. InfraCloud offers a range of services such as AI infrastructure consulting, platform engineering, and application modernization. The company is recognized for its capabilities in DevSecOps, observability, and containerization, and is a trusted partner for deploying and managing Kubernetes-based solutions. They also contribute to open-source projects, enhancing their offerings in areas like site reliability engineering and cloud native product development.

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Design, develop, and maintain Generative AI powered applications • Write clean & testable code following CI/CD & DevOps best practices. • Develop and maintain backend services for AI applications • End-to-end solutioning for AI agents and agentic workflows • Implement Agent capabilities with latest standards like MCP, A2A protocols • Build effective semantic search systems for LLM application workflows • Building function calls tooling for application workflows • Work with vector databases and embedding technologies • Collaborate with cross-functional teams to integrate LLM capabilities into existing products • Stay up to date with the latest advancements in Generative AI technologies and best practices

🎯 Requirements

• 4-6 years of professional software development experience • Strong proficiency in Python/Go • Knowledge of asynchronous programming in Python/Go • Experience with LangChain/LangGraph/Dspy or similar LLM application development frameworks • Experience in function calling with LLMs for application development • Experience of building AI agentic workflows with understanding of MCP, A2A protocols • Solid understanding of concepts in semantic search techniques such as RAG, vector embedding etc. • Knowledge of prompt engineering, context engineering and LLM fine-tuning techniques • Experience with FastAPI or similar backend frameworks for building RESTful APIs • Experience with version control systems (e.g., Git) • Familiarity with containerization technologies (e.g., Docker) • Understanding secure coding practices and application observability • Strong problem-solving skills and attention to detail • Familiarity with databases (SQL and NoSQL) • Experience with API development and integration

🏖️ Benefits

• Fully remote