

Intelliswift Software
Generative AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in San Jose, CA, for 3 months at a W2 pay rate. Requires 6+ years in software engineering, experience with GitHub APIs, CI/CD, DORA metrics, and automated testing frameworks.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
760
-
ποΈ - Date
April 21, 2026
π - Duration
3 to 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
San Jose, CA
-
π§ - Skills detailed
#Data Management #Automated Testing #GitHub #Automation #Leadership #AI (Artificial Intelligence) #Deployment #Regression #Computer Science
Role description
Job Title: Senior AI Engineer / Technical Lead
Location: San Jose, CA, (Fully Onsite)
Duration: 3 Months
Work type: W2
Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups.
Job Description:
AI Developer Productivity & Engineering Intelligence:
β’ Help us prove β not just assume β that AI makes engineering faster and better.
β’ AI is widely adopted across our engineering teams. Now weβre building the systems to measure its real impact on speed, quality, and reliability β with guardrails.
β’ Weβre hiring a Senior Engineer or Technical Lead to build and scale our AI Developer Productivity program. This role sits at the intersection of engineering, data, developer experience, and AI tooling.
β’ If you care about engineering excellence, measurable impact, and building systems that improve how teams ship software β this role is for you.
What Youβll Do:
β’ Build Our AI Productivity Measurement System
β’ Instrument and track AI tool adoption (Cursor, Claude Code)
β’ Measure suggestion acceptance and AI-assisted PR trends
β’ Connect AI usage to real delivery outcomes
β’ Improve Engineering Flow & Predictability
β’ Implement DORA metrics (deployment frequency, lead time, change failure rate, recovery time)
Build GitHub-based insights:
β’ PR cycle time (p50/p75)
β’ Review SLAs
β’ Throughput & WIP aging
β’ Merge β deploy timing
β’ Publish weekly scorecards and identify bottlenecks
Protect Quality While Increasing Speed:
β’ Enforce coverage standards (target: 80%)
β’ Monitor E2E health (Playwright pass rate, flakiness, time-to-fix)
β’ Track rework signals (churn, reverts, hotfixes)
β’ Ensure velocity gains donβt hide reliability regressions
Build the Data & Automation Layer:
β’ Standardize PR templates and labels (risk, AI usage, rollout plans)
β’ Automate ingestion from GitHub, CI/CD, and AI tools
β’ Deliver a unified dashboard (team-level metrics only β no individual ranking)
β’ Establish privacy-conscious governance standards
What Success Looks Like:
β’ Within 6β12 months
β’ PR cycle time improves measurably
β’ Rework and defect rates remain flat or decline
β’ Reliability metrics do not regress as throughput increases
β’ AI adoption clearly correlates with delivery improvements
β’ Engineering leaders rely on your dashboards for decision-making
Skills:
What Weβre Looking For
β’ 6+ years of software engineering experience (platform or backend preferred)
β’ Experience with GitHub APIs, CI/CD systems, and engineering analytics
β’ Familiarity with DORA/Four Keys metrics
β’ Experience with automated testing frameworks (Playwright preferred)
β’ Strong systems thinking β able to balance speed, reliability, and sustainability
β’ Comfortable working across engineering, platform, and leadership stakeholders
Nice to Have:
β’ Experience with AI developer tools
β’ Experience building internal analytics or developer platforms
β’ Background in developer experience (DevEx) or engineering enablement
Education:
β’ Computer science bachelor's degree or higher or equivalent experience
Equal Employment Opportunity Statement
Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law.
Americans with Disabilities Act (ADA)
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department
Other Employment Statements
Intelliswift participates in the E-Verify program.
Learn More
For information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.
Job Title: Senior AI Engineer / Technical Lead
Location: San Jose, CA, (Fully Onsite)
Duration: 3 Months
Work type: W2
Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups.
Job Description:
AI Developer Productivity & Engineering Intelligence:
β’ Help us prove β not just assume β that AI makes engineering faster and better.
β’ AI is widely adopted across our engineering teams. Now weβre building the systems to measure its real impact on speed, quality, and reliability β with guardrails.
β’ Weβre hiring a Senior Engineer or Technical Lead to build and scale our AI Developer Productivity program. This role sits at the intersection of engineering, data, developer experience, and AI tooling.
β’ If you care about engineering excellence, measurable impact, and building systems that improve how teams ship software β this role is for you.
What Youβll Do:
β’ Build Our AI Productivity Measurement System
β’ Instrument and track AI tool adoption (Cursor, Claude Code)
β’ Measure suggestion acceptance and AI-assisted PR trends
β’ Connect AI usage to real delivery outcomes
β’ Improve Engineering Flow & Predictability
β’ Implement DORA metrics (deployment frequency, lead time, change failure rate, recovery time)
Build GitHub-based insights:
β’ PR cycle time (p50/p75)
β’ Review SLAs
β’ Throughput & WIP aging
β’ Merge β deploy timing
β’ Publish weekly scorecards and identify bottlenecks
Protect Quality While Increasing Speed:
β’ Enforce coverage standards (target: 80%)
β’ Monitor E2E health (Playwright pass rate, flakiness, time-to-fix)
β’ Track rework signals (churn, reverts, hotfixes)
β’ Ensure velocity gains donβt hide reliability regressions
Build the Data & Automation Layer:
β’ Standardize PR templates and labels (risk, AI usage, rollout plans)
β’ Automate ingestion from GitHub, CI/CD, and AI tools
β’ Deliver a unified dashboard (team-level metrics only β no individual ranking)
β’ Establish privacy-conscious governance standards
What Success Looks Like:
β’ Within 6β12 months
β’ PR cycle time improves measurably
β’ Rework and defect rates remain flat or decline
β’ Reliability metrics do not regress as throughput increases
β’ AI adoption clearly correlates with delivery improvements
β’ Engineering leaders rely on your dashboards for decision-making
Skills:
What Weβre Looking For
β’ 6+ years of software engineering experience (platform or backend preferred)
β’ Experience with GitHub APIs, CI/CD systems, and engineering analytics
β’ Familiarity with DORA/Four Keys metrics
β’ Experience with automated testing frameworks (Playwright preferred)
β’ Strong systems thinking β able to balance speed, reliability, and sustainability
β’ Comfortable working across engineering, platform, and leadership stakeholders
Nice to Have:
β’ Experience with AI developer tools
β’ Experience building internal analytics or developer platforms
β’ Background in developer experience (DevEx) or engineering enablement
Education:
β’ Computer science bachelor's degree or higher or equivalent experience
Equal Employment Opportunity Statement
Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law.
Americans with Disabilities Act (ADA)
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department
Other Employment Statements
Intelliswift participates in the E-Verify program.
Learn More
For information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.






