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Build and integrate AI-enabled capabilities, including agent tool surfaces, workflow orchestration, and document intelligence. Optimize AI solutions for reliability, latency, and cost while ensuring proper auditing and traceability in regulated environments.
Job Title: Senior AI Application Engineer
Key Skills: C#/.NET, Python, Azure, Azure AI Foundry, Generative AI, LLMs, RAG, Agentic AI, API Management, Azure Container Apps
Experience: +5 years of experience.
Location: Costa Rica, Peru, Colombia, Bolivia.
Work Mode: Remote.
At Coforge, we are hiring Senior AI Application Engineer (#006fu00000amGqXAAU-2) with the following skill set.
Key Responsibilities
• Build AI-enabled capabilities, including agent tool surfaces, workflow orchestration, retrieval, and document intelligence.
• Integrate Azure AI Foundry models through API Management and implement tool and function calling.
• Contribute to the connector surface and develop cloud-native services using Azure Container Apps.
• Implement observability and tracing, including token attribution and AI usage monitoring.
• Implement auditing and traceability appropriate for regulated environments.
• Optimize AI solutions for reliability, latency, and token cost.
• Participate in design reviews and contribute to technical design decisions.
• Collaborate with cross-functional teams to deliver production-ready AI applications.
Required Skills & Qualifications
• 5+ years of experience in software development.
• Strong hands-on experience with C#/.NET and familiarity with Python.
• Experience developing solutions on Azure Cloud.
• Hands-on experience with Large Language Models beyond prompting, including API integration, tool calling, and workflow orchestration.
• Experience with API-driven and distributed systems.
• Experience with CI/CD and automated testing.
• Strong understanding of production AI application development and operational challenges.
• Strong communication and collaboration skills.
• Strong working proficiency in English.
Preferred Skills
• Experience with Azure AI Foundry.
• Hands-on experience implementing RAG solutions, including retrieval-quality tuning.
• Experience developing Model Context Protocol (MCP) servers.
• Experience with document intelligence, extraction, or classification, including accuracy measurement.
• Experience using agentic coding tools in real-world development environments.
• Experience with Azure Container Apps, API Management, Cosmos DB, Redis, or Microsoft Fabric.
• Experience operating AI features in production and troubleshooting issues related to extraction, retrieval quality, latency, reliability, or cost.
Posted On: 24-09-2026
At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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