Job description

Chicago, IL · Posted 7 hours ago Apply now About the Role Our client is one of the most storied names in global law, a firm with Chicago roots stretching back nearly 160 years, now ranked among the largest law firms in the world by revenue, with lawyers spread across 20+ offices on four continents. Known for advising some of the world’s most consequential companies through their highest-stakes transactions and disputes, the firm has built an internal Data & AI organization to match that ambition, bringing modern, product-grade engineering practices into one of the most traditional industries there is. We are seeking a Lead Software Engineer with hands-on technical leadership experience, someone who can drive strategic technical decisions while still being deeply embedded in the code. This team builds custom, production-grade AI-driven solutions across litigation, M&A, finance, and HR, including document extraction and classification, privilege log review with automated challenge-letter generation, structured extraction of M&A contract terms for deal analysis, and AI-powered summarization of complex, multi-page documents. This is a hybrid role, requiring 3 days onsite in Chicago, IL. What You’ll Do : • Lead and drive technical decisions for one of three AI engineering pods. • Build custom, production-grade AI-driven solutions across litigation, M&A, finance, and HR • Drive projects to completion independently, solving problems creatively without excessive oversight • Present well-researched options to business stakeholders when gathering context for technical decisions • Mentor and guide developers on your pod • Work across the stack: .NET, React, Azure (containers, infrastructure as code), Python workers, plugin development, and MCP servers • Incorporate AI-assisted coding tools (such as Codex) into day-to-day development Required : • At least 8 years of experience, with a proven track record of driving technical decisions and mentoring others • Hands-on experience building production-ready solutions with embedded AI • Strong experience with .NET, React, and Azure (container-based infrastructure, infrastructure as code) • Comfortable with AI-assisted coding tools like Codex • Demonstrated ability to drive projects to completion independently, with creative problem-solving • Strong communication skills, comfortable presenting well-researched options to support business decision-making • Background in large enterprise environments with complex team structures and stable deployment processes • MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws. Apply for this role

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Must-haves

Posted 7 hours ago
This is a hybrid role, requiring 3 days onsite in Chicago, IL.
Lead and drive technical decisions for one of three AI engineering pods.
Build custom, production-grade AI-driven solutions across litigation, M&A, finance, and HR
Drive projects to completion independently, solving problems creatively without excessive oversight
Present well-researched options to business stakeholders when gathering context for technical decisions
Mentor and guide developers on your pod
Work across the stack: .NET, React, Azure (containers, infrastructure as code), Python workers, plugin development, and MCP servers
Incorporate AI-assisted coding tools (such as Codex) into day-to-day development
At least 8 years of experience, with a proven track record of driving technical decisions and mentoring others
Hands-on experience building production-ready solutions with embedded AI
Strong experience with .NET, React, and Azure (container-based infrastructure, infrastructure as code)
Comfortable with AI-assisted coding tools like Codex
Demonstrated ability to drive projects to completion independently, with creative problem-solving
Strong communication skills, comfortable presenting well-researched options to support business decision-making
Background in large enterprise environments with complex team structures and stable deployment processes
Apply for this role

Nice-to-haves

None flagged.

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