Applied AI Engineer improving Velixo Intelligence, an Excel-native ERP reporting and automation platform. Building LLM evaluations, observability, and cost optimizations for governed financial-system actions.
Responsibilities
Build and maintain regression suites for GIQL query generation, writeback correctness, and tool selection
Define measurable quality standards for each action type
Run structured evaluations before model upgrades or prompt changes and recommend whether to ship
Track quality over time to detect degradation
Instrument Gateway actions for tokens, cache behavior, model, latency, and tenant
Establish and maintain cost-per-action baselines
Reduce costs through prompt compression, prompt caching, context pruning, and routing to smaller models
Identify expensive customers, query shapes, and failure or retry loops
Track new model releases and evaluate them against Velixo workloads
Maintain a view of the price and performance frontier
Recommend when to migrate, wait, or run models in parallel
Supply unit-cost data for credit pricing and plan allowances
Model margin impact of proposed pricing changes with the VP Finance
Flag product decisions that may change the cost curve
Deliver full Gateway instrumentation and a cost dashboard in the first 30 days
Deliver an evaluation suite and documented baseline by days 31–60
Deliver a prioritized cost-reduction roadmap and at least one measured optimization by days 61–90
Requirements
Substantial experience building on LLM APIs in production, not in demos or notebooks
Experience building an evaluation harness
Hands-on experience with tracing and observability platforms such as Langfuse
Experience with evaluation frameworks such as promptfoo
Knowledge of token accounting, context window management, and caching strategies
Strong analytical skills and fluency with data
Ability to write clearly about tradeoffs for a non-technical audience
Python or TypeScript proficiency
Nice to have: Experience with MCP or other tool-calling frameworks
Nice to have: Background in ERP, accounting, or financial systems
Nice to have: Prior exposure to usage-based or credit-based pricing models
Nice to have: Experience at a small company where you set your own priorities
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