Applied AI Engineer New Grad

Applied AI Engineer

Engineering - Chicago - Full Time

Flexible: We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.

Being an Applied AI Engineer at iManage Means…

You are early in your career and excited to build and ship AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders - learning from experienced peers as you help develop the AI capabilities that power iManage's enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring solid fundamentals, a growth mindset, and a hunger to learn how machine learning, software engineering, and cloud infrastructure come together in real products.

iM Responsible For…

• Contributing to AI systems across the ML lifecycle - from model development and evaluation to production serving — with guidance and mentorship from senior engineers
• Writing, testing, and maintaining production-quality code for ML/LLM features and APIs
• Helping build and run evaluations that measure model quality and catch regressions
• Supporting deployment and monitoring of ML systems on cloud infrastructure, and learning our CI/CD and DevOps practices
• Collaborating with teammates and product stakeholders, asking good questions, and taking ownership of well-scoped pieces of work
• Continuously growing your skills through code review, pairing, and best-practice guidance
• Building internal platform tooling and paved paths that make it faster and safer for the wider team to ship AI systems

iM Qualified Because I Have…

• Graduating in December 2026 or May 2027 with a degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field
• 0-2 years of experience, including internships, research, or substantial coursework/personal projects in ML/AI or software engineering
• Proficiency in Python and familiarity with modern AI frameworks such as PyTorch and Hugging Face
• A solid grasp of ML fundamentals, with some hands-on exposure to modern generative AI or transformer architectures
• Foundational software engineering skills - version control (Git/GitHub) and an understanding of how code gets built and tested
• The ability to work collaboratively, communicate clearly, and take ownership of your learning
• A growth mindset and genuine enthusiasm for building AI systems

Bonus Points If I Have...

• Internship experience shipping software or ML features
• Personal, academic, or open-source projects involving LLMs, RAG, or agentic systems
• Exposure to containerization (Docker), Kubernetes, or cloud infrastructure (Azure, AWS, or GCP)
• Coursework or projects in NLP, deep learning, or distributed systems

Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!

iM Getting To…

• Join a rapidly evolving, industry-leading SaaS company on an exciting journey of growth and scalability! 
• Take on meaningful, high-impact challenges by leveraging cutting-edge technologies and best-in-class protocols to drive innovation. 
• Own my career path with our internal development framework. Ask us more about this! 
• Expand my skill set and earn certifications with unlimited access to LinkedIn Learning courses and interactive Microsoft courses & training. 
• Be part of a supportive and experienced team within a dynamic, inclusive, and encouraging culture. 
• Enjoy flexible work hours that empower me to balance personal time with professional commitments. 
• Collaborate in a modern, open-plan workspace featuring a gaming area, free snacks and drinks, and regular social events. 

iManage Is Supporting Me By...

• Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.
• Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.
• Rewarding me with an annual performance-based bonus.
• Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.
• Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
• Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.
• Having multiple company wellness days each year to prioritize mental health and well-being. 
• Providing access to RethinkCare, a global behavioral health platform that enhances personal well-being, strengthens professional resilience, and empowers parental success through expert-led training and resources. 

The overall US annual base salary range for this position is $100,000–$130,000 per year. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, commission, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.

iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using the @imanage.com domain. If you have any concerns or questions about communications you have received, please send them to [email protected] so our team members can review.

About iManage…
At iManage, we are dedicated to Making Knowledge Work™. Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of their business content and communications. 

We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.
So we’re looking for people who embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do. 

Whoever you are, whatever you do, however you work. Make it mean something at iManage.

iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: www.imanage.com

Please see our recruitment privacy statement for more information on how we handle your personal data.

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