Company Description

We help sales and legal teams to close better deals faster through intelligent contracting decisions.

We have developed an AI-enabled SaaS product that combines sales enablement with legal automation to close better deals faster. 

Our team is made-up by an experienced team of tech-enthusiasts as well as hacking geniuses, who have already successfully built several companies. Right now is an exciting time to join a team that is applying machine learning and cutting-edge microservices to further its development. 

Job Description

Are you passionate about leveraging AI to drive business transformation? At top.legal, we’re not just building AI solutions—we’re revolutionizing how businesses operate through cutting-edge AI engineering. We’re seeking a dynamic Head of AI Engineering to lead our AI initiatives, shape our technical strategies, and mentor a talented team of engineers. If you’re ready to lead the charge in AI innovation and make a tangible impact on our company’s success, we want to hear from you.

Imagine being at the forefront of AI innovation, where your expertise not only drives technological advancements but also shapes the strategic direction of the company. You’ll oversee the entire AI engineering lifecycle, from conceptualization to deployment, ensuring that our AI initiatives align with our business objectives and deliver exceptional value to our stakeholders. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to create scalable and efficient AI systems that propel our business forward.

But it’s not just about the technology—it’s about the people. You’ll mentor and inspire your team, fostering a culture of continuous learning and fearless creativity. Together, we’ll push boundaries, challenge assumptions, and develop solutions that not only meet our users’ needs but exceed their expectations.

If you’re ready to step into a leadership role that combines technical excellence with strategic impact, join us at top.legal and be a pivotal part of our AI-driven future.

Our Values:

• Rigorous Improvement: We constantly raise the bar, think critically, and adapt our viewpoints when new information emerges. We strive to grow, innovate, and stay ahead in a fast-changing environment.

• Drive: We act with urgency and focus sharply on what truly matters—our users. We value initiative and a bias toward action.

• Simplicity: We make complex concepts easy to understand and use. By building on existing knowledge, we focus on what sets us apart.

• Reliability: We are honest, transparent, and dependable, maintaining professionalism both internally and with our customers.

• Care: We prioritize our users’ needs, outcomes, and experiences. We actively listen to understand underlying motives and address real needs. We care about our company, teammates, and ourselves.

Qualifications

Key Responsibilities:

• Develop and execute the AI engineering strategy in alignment with business objectives.

• Set clear goals and roadmaps for AI projects, ensuring they drive company growth and innovation.

• Lead, mentor, and grow the AI engineering team, fostering a culture of innovation and excellence.

• Promote continuous learning and professional development within the team.

• Oversee the design, development, and deployment of AI and machine learning models.

• Ensure the implementation of best practices in AI development, data management, and software engineering.

• Manage multiple AI projects, ensuring timely delivery and adherence to quality standards.

• Allocate resources effectively and manage project budgets.

• Lead the development of AI-driven solutions for contract analysis, natural language processing (NLP), and other applications.

• Ensure robust and scalable implementation of knowledge graphs using Neo4j.

• Design and implement a microservices architecture that supports AI initiatives, ensuring scalability and maintainability.

• Oversee the integration of AI models into microservices and ensure seamless API design.

• Ensure AI systems are scalable and optimized for performance, handling large datasets and high traffic.

• Implement performance tuning and load balancing strategies for distributed systems.

• Ensure AI solutions adhere to data security standards and compliance requirements (e.g., GDPR, HIPAA).

• Implement robust data encryption and role-based access control (RBAC) mechanisms.

• Oversee the setup and maintenance of CI/CD pipelines for AI projects, ensuring efficient deployment processes.

• Implement infrastructure as code (e.g., Terraform) for scalable and reliable deployments.

• Manage cloud infrastructure (AWS, Azure, or Google Cloud) to support AI engineering needs.

• Optimize cloud resource usage for cost-effectiveness and performance.

• Work closely with cross-functional teams to define AI requirements and deliver solutions that meet business needs.

• Communicate technical strategies and project statuses to stakeholders effectively.

Required Skills:

• Required Minimum of 5+ Years of experience.

• Knowledge Graphs & Neo4j: Deep understanding of graph databases, particularly Neo4j, with experience designing and implementing complex knowledge graphs.

• AI & Machine Learning: Strong background in AI/ML algorithms and their applications, including AI-driven contract analysis and natural language processing (NLP).

• Programming Languages: Proficiency in languages such as Python, Java, or Scala.

• Microservices Architecture: Expertise in designing, deploying, and managing microservices, including RESTful API design.

• Scalability & Performance Optimization: Experience with scalable system design, performance tuning, and distributed systems.

• Data Security & Compliance: Understanding of data encryption, RBAC, and compliance standards (GDPR, HIPAA).

• DevOps & CI/CD: Proficiency in DevOps practices, CI/CD pipeline setup, and infrastructure as code tools (e.g., Terraform).

• Cloud Platforms: Extensive experience with cloud services (AWS, Azure, or Google Cloud).

• Tooling & Frameworks: Familiarity with containerization (Docker) and orchestration (Kubernetes), as well as monitoring tools (Prometheus, Grafana).

• Proven experience leading AI engineering teams, with strong project management and mentorship skills.

• Ability to align technical strategies with business goals and drive AI initiatives that deliver measurable value.

• Excellent problem-solving skills, with the ability to address complex technical challenges.

• Effective Communicator: Exceptional verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

• Collaborative Spirit: Strong team player who works effectively with cross-functional teams.

• Strategic Thinking: Ability to think strategically about technology and its impact on business outcomes.

• Adaptability: Comfortable working in a fast-paced and evolving environment, adapting to new challenges and technologies.

Additional Information

• You join one of Germany's most promising startups, financed by Germany's most renowned investors. 

• Work locally in Pune on an exciting SaaS product. 

• You are an important part of a dynamic team of builders. Together we apply cutting-edge technologies and see their impact unfold.

• You will be able to apply and hone your abilities as part of working with excellent and motivated people. 

• We offer flexible work environment because we are result-driven.

• Generous benefits such as health care and life insurance

• Find out more about us: 
  https://en.top.legal/
  https://www.linkedin.com/company/contract-value-management/