REMOTE Senior AI/ML Engineer
Everforth CyberCoders
United States
12 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$180,000.0 - $230,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+16 more
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
Job 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.
Requirements
- 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.
Benefits & conditions
$180000 - $230000 USD per year
About the company
Founded in 2006, we’re one of the largest app vendors (300+ employees) supporting 30,000+ customers worldwide - including Amazon, Disney, Dell, PayPal, and Hulu. In fact, one in three Fortune 500 companies relies on our products!!
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