# Senior AI Engineer, Agentic Data Enrichment

**Company:** [Baselayer](https://hotfix.jobs/companies/baselayer)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $230k – $340k/yr
**Experience:** 5+ years
**Skills:** Python, llm agents, Agent Frameworks, LLMs, web frameworks, Relational Databases, browser automation, headless browsers, web scraping, anti-bot evasion, entity resolution, fuzzy matching, json schema, function calling, langsmith
**Posted:** 2026-08-04

> Build and own production LLM-driven agents that enrich business identities using web discovery, evidence extraction, classification, and risk signals. The role requires strong asynchronous Python, browser automation, multi-provider LLM experience, evaluation methodology, and production agent ownership.

## Job Description

## Responsibilities
- Own industry and category classification of businesses from heterogeneous signals, including names, websites, directory presence, and reviews.
- Build and maintain discovery and verification systems for businesses' real web presence, filtering aggregators, parked domains, brand collisions, and impersonators.
- Link individuals to businesses using public web evidence.
- Develop risk and legitimacy scoring from web-presence signals for downstream underwriting.
- Build and evolve shared agent infrastructure, including provider-agnostic base agents, tool registries, evaluation harnesses, and token-and-tool tracing instrumentation.
- Own model selection, agent design, prompt and tool engineering, evaluation methodology, and cost control.

## Requirements
- Production experience shipping LLM-driven agents with real users, costs, failure modes, and on-call responsibilities.
- Strong asynchronous Python experience with structured-data libraries, modern web frameworks, and relational databases.
- Experience with multiple frontier LLM providers and at least one agent framework.
- Experience building or maintaining evaluation methodology, including golden datasets, scoring functions, labeling guidelines, and regression diagnostics.
- Browser automation experience with headless browsers, anti-bot evasion, and authenticated flows.
- Strong understanding of structured-output reliability, including JSON Schema mode, function calling, and text extraction.

## Nice-to-Haves
- Web scraping at scale, including residential proxies, request fingerprinting, authenticated flows, and CDN defeats.
- Evaluation frameworks such as LangSmith, Braintrust, Evals, or custom systems.
- Entity resolution, record linkage, or fuzzy matching at scale.
- Browser automation at the DevTools Protocol level.
- Tool registry or toolset abstraction experience across multiple LLM providers.
- Cost and latency optimization through response caching, semantic caching, model routing, thinking-budget tuning, and prompt-cache optimization.

## Compensation and Benefits
- Salary: **$230,000–$340,000 plus equity**.
- Flexible PTO.
- 100% company-paid health, dental, and vision premiums.
- 401(k) with company match.
- HSA contributions on applicable plans.
- $250 monthly gym stipend.

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