Senior AI Engineer at Imanage Chicago, IL

Fairweather, LLC; Chicago (IL); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Flexible in-office days

Hybrid work policy

Collaborative team culture

Job summary

iManage seeks a Senior AI Engineer to own the end‑to‑end ML lifecycle and deploy AI systems in production. You will work with the Applied AI team to build capabilities powering iManage’s enterprise platform, including Ask iManage and document classification, while balancing performance, reliability, and cost.

You will collaborate across engineers, data scientists, and product stakeholders to ship scalable AI features and ensure robust CI/CD, monitoring, and observability in a dynamic, hybrid

Qualifications

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field.
• 3+ years of experience in ML/AI engineering or software engineering.
• Hands-on experience building and shipping LLM systems into production.
• Proficiency in Python and ML frameworks, including PyTorch and Hugging Face.
• Solid understanding of ML fundamentals including both traditional ML and generative AI/transformer architectures.
• Experience fine-tuning language models and deploying them to production.
• Experience with GPU optimization for training and inference.
• Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP).

Responsibilities

• Owning the end‑to‑end ML lifecycle for AI systems from model development to scalable production serving.
• Deploying and optimizing ML/AI systems on GPUs and Kubernetes‑based cloud infrastructure.
• Designing and implementing production‑ready LLM applications and APIs with monitoring and testing.
• Applying modern engineering practices for production AI systems (containers, CI/CD, versioning).
• Collaborating with product and business stakeholders to translate requirements into solutions.
• Conducting code reviews and providing feedback to team members.
• Contributing to AI engineering standards across the team.

Skills

Python

ML/AI engineering

Team collaboration

Communication

Problem solving

ML fundamentals

Education

Bachelor’s degree in Computer Science/Machine Learning/Data Science/AI

Master’s degree in a related field

PhD in a related field

Tools

PyTorch

Hugging Face

Kubernetes

AKS / cloud platforms

Cloud infrastructure (Azure/AWS/GCP)

Job description

Senior AI Engineer job at Imanage. Chicago, IL.

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 a Senior AI Engineer at iManage Means… You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to 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 hands‑on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.

iM Responsible For…

• Owning the end‑to‑end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases
• Deploying and optimizing ML/AI systems on GPUs and Kubernetes‑based cloud infrastructure, including AKS or equivalent platforms, while balancing trade‑offs across scalability, latency, performance, operational complexity, and cost efficiency
• Designing and implementing production‑ready LLM applications and APIs with monitoring, observability, and integration testing built in
• Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance
• Collaborating with product and business stakeholders to translate requirements into viable technical solutions
• Conducting code reviews and providing constructive feedback to team members
• Contributing to best practices and standards for AI engineering across the team

iM Qualified Because I Have…

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field
• 3+ years of experience in ML/AI engineering or software engineering
• Hands‑on experience building and shipping LLM systems into production
• Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face
• Solid understanding of ML fundamentals including hands‑on experience with both traditional ML and modern generative AI and transformer architectures
• Demonstrated experience fine‑tuning language models and deploying them to production
• Experience with GPU optimization for training and inference workloads
• Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency
• The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production

Bonus Points If I Have…

• Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)
• Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools
• Experience with knowledge graphs and multimodal LLMs
• Familiarity with AI/ML observability tools and model lifecycle management best practices

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 supportive, experienced team with an inclusive, encouraging, and vibrant culture. Have flexible work hours that allow me to balance my ‘me time’ with my work commitments. Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events. Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols. Own my career path with our internal development framework. Ask us more about this! Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning. Join an innovative, industry leading SaaS company that is continuing to grow & scale!

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%.
• Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.
• 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.
• Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.

The overall US annual base salary range for this position is $130,000–$170,000. 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, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.

About iManage… iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud‑enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside 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 love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we do things that might appear impossible. How we develop our employees’ strengths and unlock their potential. How we find meaning in 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: Please see our recruitment privacy statement for more information on how we handle your personal data.

#LI-Hybrid#LI-RW1SummaryLocation: Chicago, IL, United StatesType: Full TimeExperience: ExperiencedDepartment: Applied AI