Scala AI Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Location Job is located in McLean-VA - Onsite HybridYour Role Responsibilities: Design build and own end-to-end software solutions across the full development lifecycle from architecture to productionDevelop scalable backend systems and data pipelines using ScalaServe as an internal enabler of AIled development onboarding the team onto agentic tools like Claude Cursor WindsurfIdentify and drive productivity acceleration opportunities across the engineering team using AI coding workflowsMentor engineers and set best practices for AI augmented software deliveryCollaborate with product and application teams to ship high-quality features iteratively8-12 years of end-to-end software development experience covering design build test deploy and operateProven track record of delivering production grade systems at scale ideally across multiple domains or industriesExperience working in Agile Scrum environments with cross functional teamsComfortable owning technical decisions independently and presenting solutions to engineering leadership Engineering depth 5 years of hands-on Scala development strong grasp of functional programming type systems and the JVM ecosystemSolid understanding of distributed systems system design and software architecture patterns microservices eventdriven CQRSExperience with test driven development TDD code review practices and CICD pipelinesFamiliarity with data modelling ETLELT pipelines and working with largescale datasets AI tooling productivity Hands on experience using Claude Anthropic for AI assisted development code generation and problem-solvingAbility to evaluate adopt and champion emerging AI coding tools as the landscape evolvesExperience measuring and articulating productivity gains from AI tooling adoption across a team Technical skills Languages frameworks Scala Akka Cats Cats Effect ZIO Play Framework SBTSQL advanced query writing query optimization schema design AI LLM tooling Claude Anthropic API prompt engineering API integration agentic workflowsCursor AInative IDE multifile editing agent modeWindsurf Cascade agentic workflows AIdriven code navigationLLM application development LangChain LlamaIndex RAG pipelines vector databases Pinecone Weaviate pgvectorFamiliarity with OpenAI Gemini or other LLM provider APIs Cloud infrastructure Cloud platforms AWS S3 EC2 ECS Lambda Kinesis RDS GCP or AzureContainerization Docker Kubernetes HelmCICD GitHub Actions Jenkins GitLab CI ArgoCDInfrastructure as Code Terraform Pulumi Observability quality Monitoring and logging Datadog Grafana Prometheus ELK StackTesting unit integration contract testing ScalaTest Test containersCode quality SonarQube linting static analysis Nice to have Experience with LLM application development RAG pipelines prompt engineering or LangChain LlamaIndexBackground in data engineering or platform engineering at scalePrior experience as a technical lead or engineering mentorFamiliarity with functional programming principles Cats Cats Effect ZIOThe base compensation range for this role in the posted location is: 80420 - 106050 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.