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 Staff AI Engineer at iManage Means... You are passionate about owning the full lifecycle of AI systems, from training and fine-tuning models to deploying and scaling them in production. You thrive at the intersection of machine learning, data science, and infrastructure engineering, and you bring both analytical accuracy and hands-on technical depth to everything you build. You will work within the Applied AI team, collaborating with engineers, data scientists, and product stakeholders to build the AI capabilities that power iManage's enterprise work platform including Ask iManage, our generative AI document assistant, as well as advanced document classification, extraction, and NLP-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You will tackle some of the most interesting problems in applying large language models and NLP at scale to enterprise documents and workflows.
You are a self-starter who identifies problems before being asked, coordinates across teams, and drives solutions to completion. You think carefully about cost, performance, and reliability at scale as well as communicate with clarity and accountability at every step.
iM Responsible For...- Owning the end-to-end ML lifecycle for AI systems from prototype to production, from model development and evaluation to scalable application design and production serving for NLP, genAI document intelligence, and agentic system use cases
- Collaborating with product and business stakeholders to translate requirements into viable technical solutions
- 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.
- Applying modern engineering practices for production AI systems, including monitoring, observability, integration testing, containerized services, CI/CD pipelines, model/version tracking, and release governance.
- Driving architectural decisions for AI systems and mentoring team members to foster a culture of innovation and knowledge sharing
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
- The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production
- 5+ years of experience in ML/AI engineering or software engineering with 3+ year of experience building and shipping in NLP and LLM systems into productions
- Deep proficiency in Python and modern AI frameworks (i.e., PyTorch and Hugging Face)
- Deep understanding of ML fundamentals including hands-on experience with both traditional ML/NLP and modern genAI/transformer architectures
- Demonstrated hands-on experience in fine-tuning language models and deploying them to production
- Experience with GPU optimization for both training and inference
- Experience with k8s deployment on cloud infrastructure (Azure/AWS/GCP) to optimize systems for scalability, latency, performance, operational complexity, and cost efficiency
Bonus Points If I Have... - Experience in knowledge graph and multimodal LLMs
- Experience with distributed training (i.e, Pytorch distributed, Ray) and inference optimization framework (i.e, vLLM, SGLang)
- Experience with agentic engineering (agent harness, agent memory) and orchestration framework like LangChain/LlamaIndex, or similar tools
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 $180,000-$220,000. 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.
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