<p></p> <p><strong>Job Title:</strong> AI SRE Engineer<br><strong>Key Skills:</strong> Python, Go, Agentic AI, LLMs, MCP, DevOps, Kubernetes, Docker, AI Security, Observability, RAG<br><strong>Experience:</strong> 3–5 YOE<br><strong>Location:</strong> San José, Costa Rica<br><strong>Mode:</strong> Hybrid – 2–3 days per week on-site</p> <p>We at Coforge are hiring <strong>AI SRE Engineer (#006fu00000QeELXAA3-10)</strong> with the following skill set.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li> <p>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.</p> </li> <li> <p>Build production-grade services in Python and Go, integrating enterprise data, APIs, and developer environments to enable secure and scalable AI-driven workflows.</p> </li> <li> <p>Implement security controls, guardrails, policy enforcement, testing pipelines, and monitoring to ensure the reliability, safety, performance, and observability of AI systems.</p> </li> <li> <p>Collaborate with product, research, and platform teams to deliver scalable solutions while documenting technical designs, standards, and best practices.</p> </li> </ul> <p><strong>Required Skills & Qualifications</strong></p> <ul> <li> <p>Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.</p> </li> <li> <p>3–5 years of relevant software engineering experience.</p> </li> <li> <p>Strong programming skills in Python and Go, with experience building production-grade distributed systems.</p> </li> <li> <p>Hands-on experience with LLMs, NLP, and AI frameworks such as PyTorch, TensorFlow, LangChain, or Ray.</p> </li> <li> <p>Experience with DevOps tools such as GitHub, GitLab, Jenkins, Jira, ArgoCD, and Artifactory, including API integrations.</p> </li> <li> <p>Knowledge of secure software development, authentication, and access control mechanisms.</p> </li> <li> <p>Experience with cloud-native platforms and containerized environments using Docker and Kubernetes.</p> </li> <li> <p>Strong debugging and problem-solving skills in fast-paced, iterative environments.</p> </li> <li> <p>Understanding of AI security, reliability, and observability principles.</p> </li> </ul> <p><strong>Preferred Skills:</strong></p> <ul> <li> <p>Experience building MCP services or similar AI service-integration frameworks.</p> </li> <li> <p>Knowledge of AI security practices, including guardrails, adversarial testing, red teaming, and policy enforcement.</p> </li> <li> <p>Experience with AI evaluation frameworks for benchmarking model performance.</p> </li> <li> <p>Experience building observability pipelines using Prometheus, Grafana, ELK Stack, or OpenTelemetry.</p> </li> <li> <p>Familiarity with RAG, embeddings, and semantic search for context augmentation.</p> </li> <li> <p>Contributions to open-source AI or DevOps projects.</p> </li> </ul> <p><strong>Posted On:</strong> 22-10-2026</p> <p>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.</p>