Senior AI Engineer, Agentic Data Enrichment
Baselayer · San Francisco, California
Posted 15 days ago · $230,000 – $340,000
or apply directly on Baselayer's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Baselayer's roles stay open a median of 15 days
- Reposted
- No
- Salary listed
- Yes 100% of Baselayer's roles list one
- Ghost-job risk at Baselayer
- low 0 stale, 0 reposted of 16 open
- Hiring momentum
- 46 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Baselayer's own greenhouse board since 2026-08-03. Full hiring picture for Baselayer.
About this role
As a Senior AI Engineer at Baselayer, you will be responsible for developing and maintaining systems that classify businesses, verify their online presence, and link individuals to these businesses using web evidence. You will work with LLM-driven agents to enhance data enrichment processes, focusing on real-time entity resolution and risk scoring. This role involves significant ownership of the technical infrastructure and collaboration within a small, agile team.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Baselayer as an employer.
What you need
- Shipped LLM-driven agents to production
- Strong async Python including structured-data libraries, modern web frameworks, and relational databases
- Experience across multiple frontier LLM providers and at least one agent framework
- Built or maintained eval methodology: curated golden datasets, scoring functions, labelling guidelines, regression diagnostics
- Browser automation experience: headless browsers, anti-bot evasion, authenticated flows
- Holds informed opinions on structured-output reliability
Nice to have
- Web scraping at scale: anti-bot evasion, residential proxies, request fingerprinting, authenticated flows, CDN defeats
- Eval-framework experience (e.g., LangSmith, Braintrust, Evals, or custom)
- Entity resolution / record linkage / fuzzy matching at scale
- Browser-automation experience at the devtools-protocol level
- Built a tool registry or toolset abstraction over multiple LLM providers
What you get
- Flexible PTO
- Competitive compensation with equity
- 100% coverage of health, dental, and vision premiums
- 401(k) with company match
- HSA contributions included
- $250 monthly gym stipend
Worth weighing
- Hybrid work model with 4 days in the office
- High salary range but no specific mention of bonuses or raises
- Focus on foundational infrastructure which may involve complex challenges
- Fast-paced environment with ownership and velocity, which may not suit everyone
Summarised from Baselayer's posting. Read the full original.
Listed by Baselayer on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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