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.ย
Being a Senior AI Engineer atย iManageย Meansโฆย
You are passionate about building and deploying AI systems that workย atย scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that powerย iManageโsย enterprise work platform, including Askย iManage, our generative AI document assistant, as well as document classification, extraction, andย 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 infrastructureย requiredย to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.ย
iMย Responsible Forโฆย
- 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 casesย
- Deploying andย optimizingย 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 efficiencyย
- Designing and implementing production-readyย LLMย applications and APIs with monitoring, observability, and integration testing built inย
- Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governanceย
- Collaborating with product and business stakeholders to translate requirements intoย viableย technical solutionsย
- Conducting code reviews and providing constructive feedback to team membersย
- Contributing to best practices and standards for AI engineering across the teamย
iMย Qualified Because I Haveโฆย
- A Bachelorโs, Masterโs, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related fieldย
- 3+ years of experience in ML/AI engineering or software engineeringย ย
- Hands-on experience building and shipping LLM systems into productionย
- Deepย proficiencyย in Python and modern AI frameworks, includingย PyTorchย and Hugging Faceย
- Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architecturesย
- Demonstrated experience fine-tuning language models and deploying them to productionย
- Experience with GPU optimization for training and inference workloadsย
- Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) toย optimizeย systems for scalability, latency, performance, and cost efficiencyย
- The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to productionย
Bonus Points If I Haveโฆย
- Experience with distributed training frameworks (e.g.,ย PyTorchย Distributed, Ray) and inference optimization tools (e.g.,ย vLLM,ย SGLang)ย
- Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such asย LangChain,ย LlamaIndex, or similar toolsย
- Experience with knowledge graphs and multimodal LLMsย
- Familiarity with AI/ML observability tools and model lifecycle management best practicesย
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!ย ย
iM Getting Toโฆย ย
- Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.ย ย
- Have flexible work hours that allow me to balance my โme timeโ with my work commitments.ย ย
- Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.ย ย
- Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.ย ย
- Own my career path with our internal development framework. Ask us more about this!ย ย
- Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.ย ย
- Join an innovative, industry leading SaaS company that is continuing to grow & scale!ย ย
iManage Is Supporting Me By...ย ย
- Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.ย ย
- Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.ย ย
- Rewarding me with an annual performance-based bonus.ย ย
- Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.ย ย ย
- Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.ย ย
- Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.ย ย ย
- 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.ย ย
- 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.ย ย
The overall US annual base salary range for this position is $130,000โ$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 iManageโฆย ย
iManage is dedicated to Making Knowledge WorkTM.ย 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.ย ย ย ย
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.ย ย ย
So weโre looking for people who love a challenge. People who are happiest when theyโre solving problems and collaborating with the industryโs best and brightest. Thatโs the iManage way. Itโs how we do things that might appear impossible. How we develop our employeesโ strengths and unlock their potential. How we find meaning in everything we do.ย ย ย
Whoever you are, whatever you do, however you work. Make it mean something at iManage.ย ย
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.ย ย ย
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.ย ย
Learn more at: www.imanage.comย ย ย
Please seeย ourย recruitment privacy statementย for more information on how we handle your personal data.ย
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