Senior AI Software Engineer (London)

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 the systems for deploying, scaling and monitoring NLP and Gen AI applications in production as well as optimizing and improving the 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 focused mindset and have the opportunity to experiment with our data sets and contribute to core AI strategies at the heart of what we deliver. You will rely on a diverse AI/ML and software ecosystem to enhance our core enterprise products and leverage cutting edge AI tools and methods to build new products that serve our end users. You will be exposed to and learn other technologies and methods that the team uses on a day-to-day basis.

If you have a strong passion for software, machine learning and artificial intelligence and want to apply your outstanding technical and problem-solving skills for delivering impactful AI powered products into the hands of our customers, come and join the Applied AI team.

iM Responsible For…

• Delivering robust, fully tested, maintainable software that impacts end users
• Designing and implementing production-ready scalable NLP applications and APIs
• Developing monitoring and observability solutions and integration testing frameworks
• Conducting code reviews and providing constructive feedback to team members
• Ensuring the scalability, performance, and reliability of AI applications
• Staying up-to-date with the latest advancements in AI and machine learning technologies
• Collaborating with cross-functional teams to integrate AI solutions into existing products
• Providing technical guidance and mentorship to junior engineers
• Contributing to the development of best practices and standards for AI engineering
• Following best practices in leveraging CI/CD tools like Docker, GitHub Actions etc
• Taking ownership and seeing a project through to completion, asking for help where necessary

iM Qualified Because I Have…

• A Master’s or Ph.D. degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field
• 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP
• Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at scale
• Solid understanding of AI system design principles and experience with ML/AIOps tools and best practices for model lifecycle management
• Familiarity with modern NLP architectures, including transformer models and LLMs based applications in production
• A passion for learning about and contributing to running a large-scale cloud-native Machine Learning platform
• Extensive experience with programming languages such as Python, Java, Scala etc.
• Solid experience with ML frameworks such as Pytorch and Huggingface
• The ability to work in a team, collaborate with others to solve interesting problems that directly affect our customers
• Demonstrated critical thinking and problem-solving abilities, excellent communication and written skills

Bonus Points If I Have…

• Experience with AI engineering tools and technologies for fine tuning and serving custom LLMs in production and with other Gen AI tools such as, Langchain, LlamaIndex
• Experience working with Knowledge graphs based on text data
• Scala experience

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 you’re encouraged to help shape the culture by bringing your unique perspective, not just by fitting in.
• Providing a market leading salary determined through a fair and consistent process, equitable for all our employees, and regularly reviewed against industry benchmarks.
• Rewarding me with an annual performance-based bonus.
• Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay)
• Matching my pension contribution (up to 6%)
• Offering BUPA private medical insurance & a Simplyhealth cash plan to assist with the everyday costs.
• Providing Group life cover, including life insurance, income protection, and critical illness protection.
• Encouraging me to make use of our top-tier flexible time off policy, which includes 25 days of annual leave and the flexibility to take further additional time off as needed
• 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 @imanage.com domain. If you have any concerns or questions about communications you have received, please send them to careers@imanage.com so our team members can review.

About iManage…

At iManage, we are dedicated to Making Knowledge Work. Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of 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 embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on 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.

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