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 Software 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.
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: www.imanage.com
Please see our privacy statement for more information on how we handle your personal data:
https://imanage.com/privacy-policy/
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Skills Required
- Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Data Science, AI, Statistics, or 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
- Proficiency with modern AI frameworks, including PyTorch and Hugging Face
- Solid understanding of ML fundamentals, including traditional ML and transformer/generative architectures
- Experience fine-tuning language models and deploying them to production
- Experience with GPU optimization for training and inference workloads
- Experience deploying on Kubernetes-based cloud infrastructure (Azure AKS, AWS, or GCP)
- Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing
- Applying modern engineering practices for production AI systems (containerized services, CI/CD, model/version tracking, release governance)
- Ability to collaborate across teams, communicate clearly, and take ownership from prototype to production
- In-office presence required Tuesdays and Thursdays (hybrid work policy)
What the Team is Saying
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iManage Compensation & Benefits Highlights
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Leave & Time Off Breadth — Policies include flexible/unlimited PTO via the iMAway program, plus paid holidays and wellness days. This approach removes accrual caps and is presented as empowering and non‑prescriptive.
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Parental & Family Support — Parental leave is described as unusually strong for the sector, with extended fully paid leave for primary and secondary caregivers and inclusive, gender‑agnostic language. Fertility, childcare, and return‑to‑work support are also highlighted.
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Healthcare Strength — Coverage spans medical, dental, vision, life, and disability, with FSA/HSA options, HealthJoy concierge access, and multiple mental‑health resources (EAP, HealthyMinds, Rethink Care). These offerings are complemented by wellbeing tools and support programs.
iManage Insights
What We Do
iManage is dedicated to Making Knowledge Work. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover & activate the knowledge that exists inside their business content and communications. We are continuously innovating to solve the most complex professional challenges & enable better business outcomes. Our work is not always easy but it is ambitious & rewarding. We are a people-first company where our employee's wellbeing is our #1 priority! That’s why we offer generous paid time off, private benefit packages that include Health/Vision/Dental/Life, plus our employee assistance program (EAP) and HealthyMinds app to support your mental health and wellbeing. We realize that work is more than just a paycheck; it’s an important part of living and growing. We strive to have a positive impact on families and a commitment to creating an organization where everyone can thrive. We’re on a mission to foster an environment where everyone makes progress, innovates, and comes together as part of a best-in-class workplace. Everyone at iManage plays an important part in achieving our vivid future.
Why Work With Us
We’re looking for people who love a challenge. People who are happiest when they’re working hard, solving problems, and collaborating with the industry’s best and brightest. In exchange, we’ll make sure the work you do here is worth doing. That’s the iManage way. It’s how we do things that might appear impossible.
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iManage Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We provide flexibility for our employees to have a meaningful work-life balance as remote workers, & an option to work from 1 of 7 global offices
