Mid-Level AI Engineer
Company websitegetclera.com (Clera, opens in new tab)
Base salary $150K to $180K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About the Role
Join the core product team at a pre-seed B2B SaaS company building agentic systems to automate complex workflows across enterprise and regulated industries. You will build and operate production AI services, with a focus on reliability, safety, and practical user impact.
What You'll Do
Design and maintain agentic systems for multi-step workflows across healthcare, legal, fintech, logistics, and compliance.
Build and operate retrieval-augmented generation pipelines, including vector databases, embeddings, indexing, and domain-specific search.
Develop multi-agent orchestration, tool-calling, memory, and reasoning components.
Create evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.
Ship full-stack AI products by designing APIs and data models, implementing frontend and backend code, and operating production systems.
Support CI/CD, monitoring, and testing, and collaborate with product and design to prioritize work and iterate using user feedback and telemetry.
What We're Looking For
Two to eight years of software engineering experience delivering production user-facing or backend products.
Broad production AI/ML engineering experience, including deployment of LLM services, prompt design, orchestration, and tool integration.
Full-stack proficiency with Python and TypeScript/React or equivalent, plus cloud experience with AWS or GCP and relational or NoSQL databases.
Working knowledge of RAG, vector databases, embeddings, and retrieval pipelines.
Experience building automated tests, evaluations, and monitoring for production AI systems.
Experience designing API-driven, high-throughput systems and real-time product features.
Familiarity with agent or workflow frameworks and orchestration tools is useful, as is experience with fine-tuning or multimodal models.
Experience with multi-tenant or enterprise systems, or in regulated industries such as healthcare, fintech, or legal, is valued.
Compensation & Benefits
Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California, United States.
Source: Clera on Ashby · View original posting (opens in new tab)
How this pay compares
Base floor $150,000, above 18% of the 1,731 Data & ML roles in California on this site; the other 82% list the same floor or a higher one. The employer's range is $30,000 wide, 20% of the floor. First observed today.
Pay in context
Among 1,731 Data & ML roles in California listed on this site, the median base floor is $184,000 and the middle half runs from $154,000 to $224,000. This role's floor ($150,000) is above 18% of them; 64 others list the same floor.
Base floors of 1,731 Data & ML roles in California
Table
| Floor band | Share | Postings |
|---|---|---|
| $100K to $125K | 7.2% | 125 |
| $125K to $150K | 11.7% | 202 |
| $150K to $175K | 20.0% | 347 |
| $175K to $200K | 20.8% | 360 |
| $200K to $225K | 15.6% | 270 |
| $225K to $250K | 7.2% | 124 |
| $250K to $275K | 6.8% | 118 |
| $275K and up | 10.7% | 185 |
How this is calculated
- Statistic
- Base floor distribution of the cohort
- Formula
- count of cohort postings in each $25K band of published base floor / postings in the cohort
- Denominator
- 1,731 open postings with this job family in California
- Sample size
- 1731
- Hidden when
- the cohort has fewer than 30 postings
- Calculation version
- jobpage-analysis-v1
- Data as of
- 2026-11-08
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
State against nationwide
Median base floor in California vs nationwide
Table
| Value | postings | |
|---|---|---|
| Data & ML, California | $184K | 1,731 |
| Data & ML, all states | $165K | 4,593 |
| This job's base floor (marked) | $150K |
How this is calculated
- Statistic
- Median floor, state vs nationwide
- Formula
- median published base floor of each cohort
- Denominator
- open postings of this job family
- Sample size
- 1731 in California; 4593 nationwide
- Hidden when
- either cohort has fewer than 30 postings
- Calculation version
- jobpage-analysis-v1
- Data as of
- 2026-11-08
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
How Clera pays
48 of Clera's 98 live roles on this site list a higher base floor and 32 list a lower one. Across them the median floor is $150,000; the middle half runs from $130,000 to $180,000.
Base floors of Clera's 98 live roles
Table
| Floor band | Share | Roles |
|---|---|---|
| $100K to $125K | 12.2% | 12 |
| $125K to $150K | 20.4% | 20 |
| $150K to $175K | 30.6% | 30 |
| $175K to $200K | 22.4% | 22 |
| $200K to $225K | 9.2% | 9 |
| $225K to $250K | 3.1% | 3 |
| $250K to $275K | 2.0% | 2 |
How this is calculated
- Statistic
- Employer base floor distribution
- Formula
- count of the employer's open roles in each $25K band of published base floor / its open roles
- Denominator
- 98 open public roles at this employer
- Sample size
- 98
- Hidden when
- this employer has fewer than 5 roles
- Calculation version
- jobpage-analysis-v1
- Data as of
- current
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
Similar pay elsewhere
Other employers' Data & ML roles in California with the nearest published base floor to $150,000, one per employer.
- Research Scientist – Molecular Diagnostics Bosch Group · base floor $150,000
- Senior Staff ML Engineer GEICO · base floor $150,000
- Machine Learning Engineer Motorola Solutions · base floor $150,000
- Founding Data Scientist Ascend · base floor $150,000
- Machine Learning Engineer, LLM Post-Training NewsBreak · base floor $150,000
This listingMid-Level AI Engineer$150K to $180K
Medical AI Researcher$150K to $230K
Head of Marketing$150K to $240K
Senior Member of Technical Staff$150K to $215K
Platform Engineer (Kubernetes)$150K to $200K
Founding Engineer$150K to $220K
Founding Member of Technical Staff$150K to $235K
Chart as a table
| Role | Published base |
|---|---|
| Mid-Level AI Engineer (this listing) | $150K - $180K |
| Medical AI Researcher | $150K - $230K |
| Head of Marketing | $150K - $240K |
| Senior Member of Technical Staff | $150K - $215K |
| Platform Engineer (Kubernetes) | $150K - $200K |
| Founding Engineer | $150K - $220K |
| Founding Member of Technical Staff | $150K - $235K |
Observed changes
No changes to the pay or listing since we first observed this role on Nov 8, 2026 (today).
- First observed on the employer's board, already publishing a qualifying base salary
- Observed since
- Employer-stated posting date
- 2026-11-08
Where this pay comes from
Location as the employer wrote it: San Francisco
Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.