# AI SRE Engineer at Encora

AI SRE Engineer at Encora in Costa Rica. Hybrid. Posted October 22, 2026.

- Company: Encora
- Location: Costa Rica
- Workplace: Hybrid
- Experience: 3+ years
- Posted: 2026-10-22
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5271083007
- Source: https://jobmagic.ai/jobs/ai-sre-engineer-encora-jk3wzm

## Requirements

- 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.

## Description

**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.