# Senior AI SRE Engineer at Encora

Senior AI SRE Engineer at Encora in Costa Rica. Hybrid. Posted November 3, 2026.

- Company: Encora
- Location: Costa Rica
- Workplace: Hybrid
- Experience: 3+ years
- Posted: 2026-11-03
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5283058007
- Source: https://jobmagic.ai/jobs/senior-ai-sre-engineer-encora-mt3vaa

## Requirements

- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 3–5 years of relevant 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.
- Familiarity with secure software development, authentication, and access control mechanisms.
- Knowledge of cloud-native platforms and containerized environments, including Docker and Kubernetes.
- Strong debugging and problem-solving skills.

## Description

**Job Title:** Senior AI SRE Engineer

**Key Skills:** Agentic AI, Python, Go, LLMs, MCP, LangChain, PyTorch, TensorFlow, DevOps, Docker, Kubernetes, RAG, AI Security, Observability

**Experience:** 3–5 YOE

**Location:** San José, Costa Rica

**Mode:** Hybrid – 2–3 days per week on-site

We at Coforge are hiring **Senior AI SRE Engineer (#006fu00000QeELXAA3-10)** with the following skill set.

**Key Responsibilities**

- Design and deploy intelligent agent systems for enterprise workflows, including MCP integrations with DevOps tools such as GitHub, Jenkins, and Jira.

- Build Python and Go services and APIs to integrate AI capabilities with enterprise platforms and systems.

- Implement context augmentation, AI security guardrails, and evaluation pipelines to ensure reliable, safe, and high-performing AI solutions.

- Develop observability solutions to monitor agent actions, usage, and anomalies while collaborating with cross-functional teams and documenting 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 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.

- Familiarity with secure software development, authentication, and access control mechanisms.

- Knowledge of cloud-native platforms and containerized environments, including Docker and Kubernetes.

- Strong debugging and problem-solving skills.

**Preferred Skills:**

- Experience building MCP services or similar AI integration frameworks.

- Knowledge of AI security practices, including guardrails, adversarial testing, red teaming, and policy enforcement.

- Exposure to AI evaluation frameworks and model benchmarking.

- Experience with observability tools such as Prometheus, Grafana, ELK Stack, or OpenTelemetry.

- Familiarity with RAG, embeddings, and semantic search.

- Contributions to open-source AI or DevOps projects.

**Posted On:** 3-11-2026

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.