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Senior AI Site Reliability Engineer

Encora

Hybrid
San José, Costa Rica
Full-time
Senior
3+ yrs
Salary not listedPosted 35m ago

Real job — pulled straight from Encora’s careers page · Verified November 7, 2026 · No reposts.

Job description

Encora is hiring a Senior AI Site Reliability Engineer — a full-time, based in San José, Costa Rica role. Apply directly on Encora's careers page below.

Senior AI SRE Engineer

Location: Costa Rica

Department: CSA Billable

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.

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Frequently asked questions

What skills are required for Senior AI Site Reliability Engineer at Encora?

The required skills for Senior AI Site Reliability Engineer at Encora include: Python, Go, LLM, LangChain, PyTorch, TensorFlow, DevOps, Docker, Kubernetes, RAG, GitHub, Jenkins, JIRA, NLP, Prometheus, Grafana, OpenTelemetry.

What is the seniority level for Senior AI Site Reliability Engineer at Encora?

Senior AI Site Reliability Engineer at Encora is a Senior level position.

How do I apply for Senior AI Site Reliability Engineer at Encora?

You can view the full description and apply for Senior AI Site Reliability Engineer at Encora on EchoJobs: https://echojobs.io/job/encora-senior-ai-sre-engineer-da3cx.