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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Engineer - **Company:** Everforth CyberCoders - **Location:** Fort Lauderdale, FL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Audit Trail, Microsoft Azure, Software as a Service, Continuous Integration, Python (Programming Language), Monte Carlo Methods, Signal Processing, Software Engineering, TypeScript, Large Language Models, Multi-Agent Systems, Prompt Engineering, Kotlin, AI Platforms, Free and Open-Source Software, Stream Processing - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=78dcfac44c66db33 ## About the Role Do you have experience in Tooling?, * Proven track record shipping LLM-powered features or products (not prototypes) that real users rely on. * Hands-on experience orchestrating agents (multi-step reasoning, tool use, autonomous action with guardrails) - LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent. * Deep LLM engineering fundamentals: prompt design, RAG architectures, function-calling/tool use, context management, and evaluation-driven development. * Production engineering discipline: tests, CI/CD, observability, and reliability for production AI systems. * Experience with event-driven or streaming systems (CDC, real-time pipelines). * 5+ years software engineering, with 3+ years focused on AI/ML in production. * Comfortable working embedded in a product team - collaborating daily with domain engineers, product managers, and designers. Preferred experience * Experience with AWS Bedrock, Azure OpenAI, or GCP Vertex AI (we run on Bedrock with Claude today). * Familiarity with MCP (Model Context Protocol) or similar agentic frameworks. * Background in anomaly detection, time-series analysis, or statistical signal processing. * Experience building confidence scoring / calibration systems for AI outputs. * Proficiency in Kotlin or TypeScript in addition to Python (our product platform is Kotlin/TypeScript; AI platform is Python). * History of absorbing work from external partners and improving inherited architectures. Nice to have * Monte Carlo simulation, optimization, or scheduling systems. * Domain experience in portfolio, project, or resource planning. * Enterprise SaaS experience (multi-tenancy, compliance, audit trails). * Open-source contributions to AI/ML tooling or frameworks. ## Description AI focus: LLMs, agent orchestration, RAG architectures, evaluation pipelines (Claude/Bedrock integration), You will design, build, and operate the AI components that make our platform intelligent and trustworthy: * Signal & anomaly detection - Build statistical and ML detectors that separate noise from real problems in CDC event streams and external integrations. * Insight synthesis engine - Ship an LLM-powered correlation engine that returns root causes, confidence scores, and evidence chains, not just alerts. * Planning rules compiler - Translate natural-language planning rules into structured parameters for a deterministic Monte Carlo scheduling engine. * Evaluation & testing frameworks - Create regression suites, A/B testing, and confidence-calibration pipelines so model changes are safe and measurable. * MCP tool definitions - Define LLM-ready tool specs (Item Store queries, capacity lookups, scenario simulations) for runtime tool use in a hub-and-spoke agent architecture. ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Why Kotlin is the better Java and how you can start using it](https://www.wearedevelopers.com/videos/661-why-kotlin-is-the-better-java-and-how-you-can-start-using-it) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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