AI SRE Engineer

Job Title: AI SRE Engineer Key Skills: Python, Go, Agentic AI, LLMs, MCP, DevOps, Kubernetes, Docker, AI Security, Observability, RAG Experience: 3–5 YOE Location: San José, Costa Rica Mode: Hybrid – 2–3 days per week on-site We at Coforge are hiring AI SRE Engineer (#006fu00000QeELXAA3-10) with the following skill set. Key Responsibilities - Design and deploy intelligent agent systems and Model Context Protocol (MCP) integrations that connect AI-powered experiences with enterprise DevOps tools such as GitHub, Jenkins, and Jira. - Build production-grade services in Python and Go, integrating enterprise data, APIs, and developer environments to enable secure and scalable AI-driven workflows. - Implement security controls, guardrails, policy enforcement, testing pipelines, and monitoring to ensure the reliability, safety, performance, and observability of AI systems. - Collaborate with product, research, and platform teams to deliver scalable solutions while documenting technical designs, standards, and best practices. Required Skills & Qualifications - Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 3–5 years of relevant software engineering experience. - Strong programming skills in Python and Go, with experience building production-grade distributed systems. - Hands-on experience with LLMs, NLP, and AI frameworks such as PyTorch, TensorFlow, LangChain, or Ray. - Experience with DevOps tools such as GitHub, GitLab, Jenkins, Jira, ArgoCD, and Artifactory, including API integrations. - Knowledge of secure software development, authentication, and access control mechanisms. - Experience with cloud-native platforms and containerized environments using Docker and Kubernetes. - Strong debugging and problem-solving skills in fast-paced, iterative environments. - Understanding of AI security, reliability, and observability principles. Preferred Skills: - Experience building MCP services or similar AI service-integration frameworks. - Knowledge of AI security practices, including guardrails, adversarial testing, red teaming, and policy enforcement. - Experience with AI evaluation frameworks for benchmarking model performance. - Experience building observability pipelines using Prometheus, Grafana, ELK Stack, or OpenTelemetry. - Familiarity with RAG, embeddings, and semantic search for context augmentation. - Contributions to open-source AI or DevOps projects. Posted On: 22-10-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.