3 days ago
San José, Costa RicaSenior
Responsibilities
- Design and develop MCP servers and integrations with enterprise tools.
- Build agentic AI workflows for code reviews, ticket automation, pipeline triage, and release management.
- Implement RAG, embeddings, and semantic search to improve AI context and response quality.
- Develop secure AI solutions with authentication, authorization, guardrails, and policy enforcement.
- Build evaluation, monitoring, and observability capabilities for AI systems and agents.
- Develop cloud-native services using Python, Go, Docker, Kubernetes, and CI/CD pipelines.
- Collaborate with Product, Platform, Security, and AI SRE teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 3–5+ years of experience in software development, DevOps, or enterprise applications.
- Strong programming skills in Python and Go.
- Hands-on experience with LLMs and AI frameworks such as LangChain, PyTorch, TensorFlow, or Ray.
- Experience with GitHub, GitLab, Jenkins, Jira, ArgoCD, and Artifactory.
- Knowledge of APIs, authentication, access control, and secure software development.
- Preferred experience with MCP services, AI security, guardrails, red teaming, AI evaluations, RAG, embeddings, semantic search, vector databases, Prometheus, Grafana, ELK, and OpenTelemetry.
- Contributions to open-source AI or DevOps projects are preferred.
Benefits
- Hybrid work mode in Costa Rica.
Tech Stack
Categories
About Encora
Encora provides software and digital product engineering services for technology companies and enterprises, including cloud-native development, data engineering, and QA. It operates a global delivery model and supports outsourced product development and managed engineering teams. Headquartered in Santa Clara, California, Encora is privately held and was acquired by Coforge; it previously raised $200 million in private equity funding in 2019.