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.
Skills Required
- 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 Python and Go programming skills
- Experience building production-grade distributed systems
- Hands-on experience with LLMs, NLP, and AI frameworks such as PyTorch, TensorFlow, LangChain, or Ray
- Experience with 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
- Understanding of AI security, reliability, and observability principles
- Experience building MCP services or similar AI service-integration frameworks
- Knowledge of AI security practices, 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
- Contributions to open-source AI or DevOps projects
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
