Opus 2

Software Engineer

• Own the design, development, testing, and delivery of features or small projects.
• Although this is a full stack role, a core responsibility will be driving front-end development to deliver a seamless, intuitive, and visually engaging user experience.
• Write high-quality, well-tested code and advocate for engineering best practices.
• Balance delivery speed with maintainability, scalability, and reliability.
• Partner with Product and Design to shape solutions that are technically sound and user-focused.
• Mentor junior engineers, providing guidance on coding practices and problem-solving.
• Leverage AI across the SDLC to improve delivery (e.g. code quality, test coverage, release speed, observability).
• Evaluate trade-offs of AI-driven solutions and collaborate with Product/Design/Tech Lead to ensure AI use supports user and business value.
• Share learnings about effective AI use with the squad.

Senior Developer

Full-stack Engineer

Software Developer

Consultant

• Communicate the Opus 2 product and solution vision with clients to reinforce our leadership position in the market.
• Become a domain expert in solution areas, beginning with Litigation/Disputes, understand the competitive landscape and be able to articulate the benefits of the Opus 2 approach.
• Support the Business Development team through pre-sales providing product, subject matter and technical expertise.
• Deliver compelling product demos that highlight business value and legal practice impact.
• Map client business processes and pain points to product capabilities
• Advise clients on best practices in adopting legal technology and integrating it into their workflows.
• Build proof-of-concept (POC) environments to showcase product fit for complex legal use cases.
• Support the Client Success team to drive client engagement through various initiatives.
• Engage with both Product and Development teams around continuous improvement to the current and future roadmap.
• Work closely with product managers to align roadmap with client needs.
• Train internal teams (sales, product, support) on solution positioning and use cases.
• Represent Opus 2 at legal tech conferences, webinars, and industry roundtables.
• Become a trusted advisor to our clients.

Solution Consultant

Platform Engineer

• Collaborating with the development team on system architecture and application decisions to ensure scalability, reliability, and security.
• Writing tooling to improve engineer productivity and to maintain the principles of no manual intervention within the platform.
• Identifying and implementing cost-saving strategies to optimize AWS spend while maintaining performance and reliability.
• Deploying and maintaining test environments to validate infrastructure changes and configurations.
• Designing, implementing, and maintaining CI/CD pipelines using GHA, ArgoCD and GitOps best practices.
• Regularly reviewing security configurations of infrastructure for best practice and planning remediation of emerging threats.
• Managing observability and monitoring using Grafana Cloud.
• Upskilling developers and junior engineers to adopt best practices and empowering them to follow a "build it, run it" approach.

Senior Platform Engineer

Machine Learning Engineer

• Design, build, and maintain MLOps infrastructure, establishing ML CI/CD best practices including model testing, versioning, and deployment.
• Develop and manage scalable automated pipelines for training, evaluating, and deploying ML models, with emphasis on LLM systems.
• Implement robust monitoring and logging for production models to track performance, drift, and data quality.
• Collaborate with Data Scientists to containerize and productionize models and algorithms, including RAG and Graph RAG approaches.
• Manage and optimize cloud infrastructure for ML workloads (e.g., Amazon Bedrock), focusing on performance, cost-effectiveness, and scalability.
• Automate provisioning of ML infrastructure using Infrastructure as Code.
• Integrate ML models into production product architecture, working closely with product and engineering teams.
• Own operational aspects of AI lifecycle: deployment, A/B testing, incident response, and continuous improvement.
• Contribute to AI strategy and roadmap, advising on operational feasibility and scalability of AI features.
• Collaborate with Principal Data Scientists and Principal Engineers to ensure MLOps framework supports full AI workflows and model interaction layers.

Machine Learning Operations Engineer, AI

Data Scientist

• Lead the design of AI systems that support complex, multi-step tasks, tool use, context adaptation, and intelligent decisions.
• Work closely with product and engineering to architect LLM-powered features that are robust, useful, and production-ready.
• Explore and implement RAG or Graph RAG approaches, including graph construction, entity linking, and hybrid scoring strategies.
• Design and implement LLM-powered systems for multi-step task automation, tool use, and context-aware reasoning.
• Contribute to prompt design and evaluate prompt results.
• Design and implement MLOps pipelines following best practices.
• Prototype, evaluate, and ship AI features using platforms like Claude or Amazon Bedrock with production readiness focus.
• Develop evaluation frameworks for model output quality, reliability, and alignment (e.g., hallucination detection, prompt regression, safety scoring).
• Embed AI capabilities into user workflows with engineers and designers to ensure meaningful product outcomes.
• Own the full lifecycle of AI components from evaluation and planning to testing, deployment, and continuous improvement.
• Contribute to AI strategy and roadmap to scale LLM usage responsibly across the platform.
• Collaborate closely with Principal Engineer to align AI workflows, system prompts, and model interaction layers.

Principal Data Scientist, AI

Business Development Rep

• As an Business Development Representative (BDR) at Opus 2, you will play a pivotal role in driving the growth of our business by identifying and engaging potential clients. You will generate leads, nurture relationships, and collaborate with the sales team to close deals.
• Research target accounts to identify key decision-makers to add into our CRM.
• Collaborate effectively within Sales and Marketing to optimize outreach strategies for better results.
• Personalize outreach messages to improve engagement and response rates.
• Work with sales to schedule meetings, demos, and presentations.
• Meet or exceed monthly and quarterly targets for lead generation and conversion.
• Identify and connect with potential clients via email, phone, and social media.
• Contact prospects aligned with marketing campaigns, events and targeted accounts.
• Assess the prospects’ needs, budget, and timeline to confirm a good fit.
• Contribute to testing new sales tools, scripts, and cadences for continuous improvement.
• Maintain accurate, up-to-date records of contacts , interactions, and deal progress in our CRM.
• Explore and understand legal trends, competitors, and market conditions.