AI SRE Engineer

AI SRE Engineer

AI SRE Engineer (#006fu00000QeELXAA3-10)

Responsibilities

• Python, Go, Agentic AI, LLMs, MCP, DevOps, Kubernetes, Docker, AI Security, Observability, RAG
• with the following skill set.
• 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.

Requirements

3–5 YOE

• 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

• 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.

Mode

• Hybrid – 2–3 days per week on-site
• We at Coforge are hiring

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.