Note: The job is a remote job and is open to candidates in USA. CyberCoders is one of the largest app vendors supporting over 30,000 customers worldwide, including major companies like Amazon and Disney. They are seeking a Senior AI/ML Engineer to design and build AI components for their platform, focusing on real-time signal processing and enterprise decision-making.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Remote work - work where you do your best thinking.
- Unlimited vacation .
- Comprehensive benefits (health, dental, vision).
- Great office spaces in Canada and Iceland if you prefer.
- A collaborative, diverse team and high-impact work - you'll be building the intelligence layer for enterprise portfolio management, not adding AI to a CRUD app.
- Regular social activities, breakfast/snacks, and more .
Company Overview