Senior AI Engineer

iManage

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, 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 and modern AI frameworks, including PyTorch and Hugging Face
  • Solid understanding of ML fundamentals with experience in both traditional ML and modern generative AI and transformer architectures
  • Demonstrated experience fine-tuning language models and deploying them to production
  • Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, GCP).

Responsibilities

  • Own the end-to-end ML lifecycle for AI systems from model development to production serving
  • Deploy and optimize ML/AI systems on GPUs and Kubernetes-based cloud infrastructure
  • Design and implement production-ready LLM applications and APIs with monitoring and integration testing
  • Apply modern engineering practices for production AI systems, including CI/CD and version tracking
  • Collaborate with product and business stakeholders to translate requirements into technical solutions
  • Conduct code reviews and provide constructive feedback to team members
  • Contribute to AI engineering best practices and standards across the team.

Benefits

  • Flexible working policy that promotes work-life balance
  • Opportunities for professional growth and internal development
  • Unlimited access to LinkedIn Learning and Microsoft courses
  • Supportive team culture with social events and modern workspace
  • Comprehensive health benefits and retirement savings plan with employer match
  • Enhanced parental leave policy
  • Flexible time off policy for personal needs and wellness days
  • Access to global behavioral health resources through RethinkCare.
Full Job Description
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 & Fridays 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 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 Registered Retirement Savings Plan with a company match up to 5%.
  • 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.

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 [redacted].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.

#LI-Hybrid

#LI-RW1

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