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# REMOTE Senior AI/ML Engineer

- **Company:** Everforth CyberCoders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $230,000.0
- **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, OpenAI, Signal Processing, Software Engineering, TypeScript, LangChain, Evaluation Pipelines, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Llamaindex, Kotlin, AI Platforms, CrewAI, AutoGen, Free and Open-Source Software, Claude, Model Context Protocol, Stream Processing
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0229316cd7d140dc

## About the Role

* 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., assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.