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.