Scala AI Engineer

# Scala AI Engineer Mclean Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en US 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 Hybrid##
** Your Role
**** Responsibilities:
** Design build and own end-to-end software solutions across the full development lifecycle from architecture to production  Develop scalable backend systems and data pipelines using Scala  Serve as an internal enabler of AIled development onboarding the team onto agentic tools like Claude Cursor Windsurf  Identify and drive productivity acceleration opportunities across the engineering team using AI coding workflows  Mentor engineers and set best practices for AI augmented software delivery  Collaborate 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 operate  Proven track record of delivering production grade systems at scale ideally across multiple domains or industries  Experience working in Agile Scrum environments with cross functional teams  Comfortable 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 ecosystem  Solid understanding of distributed systems system design and software architecture patterns microservices event driven CQRS  

Experience with test driven development TDD code review practices and CICD pipelines  Familiarity with data modelling ETLELT pipelines and working with large scale datasets
** AI tooling productivity
** Hands on experience using Claude Anthropic for AI assisted development code generation and problem-solving  Ability to evaluate adopt and champion emerging AI coding tools as the landscape evolves  Experience measuring and articulating productivity gains from AI tooling adoption across a team
** Technical skills
** Languages frameworks

Scala Akka Cats Cats Effect ZIO Play Framework SBT  SQL advanced query writing query optimization schema design
** AI LLM tooling
** Claude Anthropic API prompt engineering API integration agentic workflows  Cursor AInative IDE multifile editing agent mode  Windsurf Cascade agentic workflows AIdriven code navigation  LLM application development Lang Chain Llama Index RAG pipelines vector databases Pinecone Weaviate pgvector  Familiarity with OpenAI Gemini or other LLM provider APIs
** Cloud infrastructure
** Cloud platforms AWS S3 EC2 ECS Lambda Kinesis RDS GCP or Azure  Containerization Docker Kubernetes Helm  CICD Git Hub Actions Jenkins Git Lab CI ArgoCD  Infrastructure as Code Terraform Pulumi
** Observability quality
** Monitoring and logging Datadog Grafana Prometheus ELK Stack  Testing unit integration contract testing Scala Test Test containers  Code quality Sonar Qube linting static analysis
** Nice to have
** Experience with LLM application development RAG pipelines prompt engineering or Lang Chain Llama Index  Background in data engineering or platform engineering at scale  Prior experience as a technical lead or engineering mentor  Familiarity 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…