Senior AI Engineer
$130k - $170kiManage
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...
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
- 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
- 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
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!
- 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:
Please see our privacy statement for more information on how we handle your personal data:
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Vacancy posted 5 days ago
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