Distyl

1 month ago

AI Engineer, Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead production AI initiatives for large enterprise customers, owning architecture, execution, and delivery of AI systems. Drive technical decisions, mentor engineers, and partner with customer stakeholders to ensure systems deliver real business value while balancing speed, reliability, and maintainability. Travel as needed to support engagements and co-create enterprise AI solutions.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and mentor a team of Forward Deployed AI Engineers—owning technical direction, code quality, execution standards, and individual growth
•Design and implement AI systems that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real business outcomes
•Work directly with customer stakeholders, often in high-visibility settings, and communicate clearly about system behavior, tradeoffs, limitations, and paths to improvement
•Operate and improve live AI systems by measuring behavior, identifying failure modes, debugging issues, and rapidly iterating on quality, reliability, and usefulness
•Integrate AI systems into customer data platforms, APIs, and existing applications. Make pragmatic system design decisions that balance speed, robustness, maintainability, and long-term operability
•Take accountability for outcomes in production and adapt systems as requirements evolve

Travel: Medium travel

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

•5+ years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects
•Ownership mentality for AI systems with the ability to make independent technical decisions across system design, evaluation, integration, and iteration
•Technical leadership in teams with experience mentoring engineers and delivering projects
•Strong solutions architecture fundamentals including cloud systems, system integrations, API design, and data engineering
•Willingness to travel, typically 10–30% of engagements

Experience:5+ yearsEnterprise AIAI systemsCloud

Skills:AIAPIsPythonCloudData engineeringMachine learningSoftware engineering

Tech Stack:AIAPIsCloudData engineeringPythonMachine Learning

Company Brief

Distyl

Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor

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Distyl

1 month ago

AI Engineer, Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and mentor a team of Forward Deployed AI Engineers—owning technical direction, code quality, execution standards, and individual growth
•Design and implement AI systems that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real business outcomes
•Work directly with customer stakeholders, often in high-visibility settings, and communicate clearly about system behavior, tradeoffs, limitations, and paths to improvement
•Operate and improve live AI systems by measuring behavior, identifying failure modes, debugging issues, and rapidly iterating on quality, reliability, and usefulness
•Integrate AI systems into customer data platforms, APIs, and existing applications. Make pragmatic system design decisions that balance speed, robustness, maintainability, and long-term operability
•Take accountability for outcomes in production and adapt systems as requirements evolve

Travel: Medium travel

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

•5+ years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects
•Ownership mentality for AI systems with the ability to make independent technical decisions across system design, evaluation, integration, and iteration
•Technical leadership in teams with experience mentoring engineers and delivering projects
•Strong solutions architecture fundamentals including cloud systems, system integrations, API design, and data engineering
•Willingness to travel, typically 10–30% of engagements

Experience:5+ yearsEnterprise AIAI systemsCloud

Skills:AIAPIsPythonCloudData engineeringMachine learningSoftware engineering

Tech Stack:AIAPIsCloudData engineeringPythonMachine Learning

Company Brief

Distyl

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor