Lead AI Engineer

Mission.dev; New York (NY); Hybrid; USD 150.000 - 230.000; Vollzeit

Benefits dieser Stelle

401(k) retirement plan

Medical, dental, vision coverage

Unlimited paid time off

Zusammenfassung

Mission.dev is building a comprehensive engineering intelligence platform with a unified data and AI-driven approach. You will own end-to-end data architecture, merging technical telemetry with commercial metrics to provide a single source of truth for the organization.

You will drive AI enablement across engineering by designing and shipping agents, productivity tools, and RAG-based solutions. This hands-on role impacts system health and development velocity globally.

Qualifikationen

• 8+ years of experience in application development and distributed systems architecture.
• 5+ years of production data engineering and analytics platforms experience.
• Proficiency in Spark, PySpark, and SQL for large-scale data processing.

Aufgaben

• Develop production ETL/ELT pipelines transforming eCommerce and observability data.
• Create summarized datasets and aggregation layers for NLQ and executive reporting.
• Engineer a unified health dashboard integrating latency, errors, and business metrics on conversions and renewals.
• Build AI agents for anomaly detection, incident triage, and root-cause analysis.
• Design LL-powered productivity tools (code search, runbooks) using RAG and prompts.

Kenntnisse

Spark

PySpark

SQL

Python

Dimensional modeling

LLM-powered apps

AI agents

Lakehouse

Tools

RAG

LLM tooling

Jobbeschreibung

Employment type:

Full-time employee (40 hours per week), hired directly by the client.

Work arrangement:

Hybrid, based at the client's office in Frisco, TX, the San Francisco Bay Area, or New York City. You'll be on-site on an as-needed basis and work from your home office otherwise.

Candidate location:

Candidates must be based in or within commuting distance of one of these office locations. Relocation assistance is not available for this position.

Our company description

Mission.dev is the next-gen staffing platform for software talent.

We help you find, evaluate, and manage top software talent (contractors or direct hires) faster, smarter, and more efficiently.

Powered by AI. Backed by real humans.

About the client

This global consumer cybersecurity organization provides integrated digital safety products designed to protect individuals and families online.

Its operations are supported by a high-scale global eCommerce engine that manages millions of transactions, subscriptions, and renewals worldwide.

The company focuses on creating intuitive products that ensure secure digital experiences, leveraging a robust technical infrastructure to maintain system health and commercial performance across its global user base.

About the Role

This is a hands-on technical role focused on building a comprehensive engineering intelligence platform.

You will own the development of a unified operational system that merges technical telemetry with commercial performance data to create a single source of truth for the organization.

Additionally, you will drive AI enablement across the engineering department by designing and shipping agents and productivity tools.

You will be responsible for the full lifecycle of data architecture and AI features, directly impacting how the company monitors system health and accelerates development velocity.

What You'll Do

• Develop production ETL/ELT pipelines and dimensional models to transform raw eCommerce and observability data into an analytics-ready state.
• Construct summarized datasets and aggregation layers to support natural-language querying and executive-level reporting.
• Engineer a unified health dashboard that integrates system latency and error signals with commercial metrics like conversion and renewal rates.
• Standardize and surface engineering performance metrics, including delivery velocity, security posture, and incident trends.
• Build and deploy AI agents for automated anomaly detection, incident triage, and intelligent root-cause analysis.
• Design and implement LLM-powered productivity tools, including code search assistants and runbook copilots, using RAG and prompt engineering.
• Utilize modern lakehouse platforms to deliver internal tools, chatbots, and operational applications directly to stakeholders.
• Collaborate with cross-functional teams to identify automation opportunities and evangelize AI adoption across the engineering organization.

What You Bring

• 8+ years of experience in application development and distributed systems architecture.
• 5+ years of production data engineering experience building ETL/ELT workflows and analytics platforms.
• Expert proficiency in Spark, PySpark, and SQL for large-scale data processing and performance tuning.
• Strong Python programming skills and extensive experience with dimensional modeling.
• Proven experience shipping LLM-powered applications, including production RAG systems or AI agents.
• Deep expertise in modern lakehouse architectures and medallion data structures.
• Professional background in eCommerce or similar transactional and operational data domains

Nice to Haves

• Deep technical experience with specific lakehouse governance and workflow tools.
• Experience utilizing AI coding assistants to accelerate development cycles.
• Previous experience partnering with SRE, Security, and Architecture teams on operational tooling.
• Performance-based bonus program and 401(k) retirement plan.
• Comprehensive medical, dental, vision, and life insurance coverage.
• Short-term and long-term disability protection.
• Paid parental leave and 14 paid company holidays.
• Unlimited paid time off and flexible working hours.
• Community involvement and social programs.