We offer a flexible working policy that empowers iManage employees to balance work and well-being. We encourage two days per week in-office collaboration, offering opportunities to learn from peers in person, while also providing the flexibility needed for a meaningful work-life balance.
Being a Senior AI Software Engineer at iManage Means…
You are excited about using cutting-edge research and technology to join forces with a multi-disciplinary team of data scientists and engineers in tackling a wide range of interesting problems in Artificial Intelligence. As a Senior AI Software Engineer, you will work at the intersection of software engineering and AI, focusing on building systems for deploying, scaling, and monitoring NLP and Gen AI applications in production, as well as optimizing and improving core document AI strategies.
You will have the opportunity to be immersed within our iManage product suite and gain exposure to the full software development lifecycle. You will learn about our Artificial Intelligence (AI) products and work with fellow engineers and data scientists on projects that directly impact our customers.
You will operate with a continual learning mindset and have the opportunity to experiment with data sets and contribute to core AI strategies. You will rely on a diverse AI/ML and software ecosystem to enhance our enterprise products and leverage cutting-edge AI tools to build new products for our end users. You will also learn other technologies and methods used by the team daily.
If you have a passion for software, machine learning, and artificial intelligence, and want to apply your technical and problem-solving skills to deliver impactful AI-powered products, join our Applied AI team.
iM Responsible For…
- Delivering robust, fully tested, maintainable software impacting end users
- Designing and implementing scalable NLP applications and APIs for production
- Developing monitoring, observability solutions, and testing frameworks
- Conducting code reviews and providing feedback
- Ensuring scalability, performance, and reliability of AI applications
- Staying updated with AI and ML advancements
- Collaborating with teams to integrate AI solutions
- Providing mentorship to junior engineers
- Contributing to AI engineering best practices
- Following CI/CD best practices with tools like Docker, GitHub Actions
- Taking ownership of projects to completion
iM Qualified Because I Have…
- A Master’s or Ph.D. in a related field
- 3+ years in ML/AI engineering or NLP software engineering
- Experience with AI/ML infrastructure and deployment at scale
- Understanding of AI system design and ML tools
- Familiarity with modern NLP architectures and LLMs
- Passion for large-scale cloud-native ML platforms
- Proficiency in Python, Java, Scala, etc.
- Experience with frameworks like Pytorch and Huggingface
- Teamwork, collaboration, problem-solving, and communication skills
Bonus Points If I Have…
- Experience with fine-tuning and serving custom LLMs, Gen AI tools like Langchain, LlamaIndex
- Experience with text-based knowledge graphs
- Scala experience
We encourage applicants regardless of whether they meet every qualification, emphasizing diversity and growth mindset.
iManage Offers…
- Supportive, inclusive team culture
- Flexible work hours for work-life balance
- Modern workspace with amenities
- Impactful work with latest technologies
- Career development opportunities
- Access to training and certifications
- Growing SaaS company environment
Compensation and Benefits
The US annual salary range is $130,000–$180,000, depending on experience and location. Additional benefits include bonuses, health insurance, 401k, wellness programs, and more. Details will be discussed during hiring.
About iManage…
iManage is dedicated to Making Knowledge WorkTM, serving over a million professionals worldwide with innovative, secure knowledge management solutions. We value problem-solving, collaboration, and employee growth.
We are committed to equal opportunity employment and a discrimination-free workplace. Learn more at .
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