Encora · Posted 8d ago
AI SRE Engineer
- Location
- 🇨🇷 Costa Rica
- Role
- ML engineering
- Source
- Employer’s own job board (Greenhouse)
Stack
- Argo
- PyTorch
- TensorFlow
- LangChain
- LLM
- Python
- Go
- Kubernetes
- Docker
- CI/CD
The posting
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.
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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.