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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI engineer - **Company:** Cloudious LLC - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $80,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, User Authentication, Automation of Tests, Cloud Computing, Computer Programming, Continuous Integration, Distributed Systems, Python (Programming Language), Key Management, OAuth, Redis, Openid Connect, Distributed Caching, Software Engineering, TypeScript, Data Logging, Performance Testing, Large Language Models, Caching, Build Management, Containerization, Kubernetes, Infrastructure Automation Frameworks, Integration Frameworks, Automation Anywhere - **Published:** September 26, 2026 - **Apply:** https://www.careerjet.com/jobad/us305ffefd0031b895003f5776d4284ce5 ## About the Role * 5+ years of software engineering experience building distributed services or platforms. * Hands-on experience with LLM applications, AI agents, RAG, or tool-calling workflows. * Strong programming skills in Java, Python, TypeScript, or Go. * Experience with APIs, service integration, asynchronous processing, and distributed systems. * Practical knowledge of authentication, authorization, secrets management, and secure service communication. * Experience with observability, including structured logging, metrics, tracing, and operational dashboards. * Experience with cloud and containerized deployments, such as Kubernetes. * Strong communication and collaboration skills, with the ability to turn ambiguous ideas into working POCs.. NICE TO HAVE: * Experience with Model Context Protocol, MCP gateways, MCP servers, or similar agent integration frameworks. * Experience building orchestration or workflow platforms with durable execution, queues, event streams, or human-in-the-loop controls. * Experience with Redis or other distributed caching technologies. * Experience with Open Telemetry and AI observability or evaluation platforms. * Knowledge of OAuth 2.0, OpenID Connect, workload identity, token exchange, delegated authorization, or policy engines such as OPA. * Experience in financial services, retail investing, brokerage, or another regulated industry. * Familiarity with responsible AI, data privacy, model governance, vector databases, embeddings, and retrieval systems. * Experience with CI/CD, infrastructure as code, automated testing, and performance testing. EXPECTED OUTCOMES: * Working POCs for an MCP gateway, retail MCP server, and orchestration layer. * Reusable patterns for secure agent access, caching, and AI telemetry. * A practical roadmap for hardening foundational capabilities for production adoption. ## Description * Design and build the foundational platform layers needed to deliver secure, scalable, reusable AI use cases. * The role will develop proofs of concept and production-ready patterns across MCP, orchestration, security, caching, and telemetry., * Build POCs for MCP gateways and retail-domain MCP servers that securely expose enterprise tools and data. * Design an orchestration layer for coordinating models, agents, tools, workflows, approvals, retries, and failures. * Establish caching patterns that improve latency and cost while protecting data freshness and privacy. * Implement agentic authentication and authorisation, including identity propagation, delegated access, least privilege, and auditability. * Create telemetry for AI workflows, including traces, metrics, logs, token usage, tool calls, latency, errors, and policy decisions. * Deliver reusable APIs, reference implementations, documentation, and standards for application teams. * Partner with architecture, security, product, and engineering teams to move POCs toward production. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [API, MCP or MCP App? Choosing the right surface for AI agents](https://www.wearedevelopers.com/videos/100305-api-mcp-or-mcp-app-choosing-the-right-surface-for-ai-agents) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)