SCALA - AI Software Engineer

We are looking for SCALA - AI Software Engineer for our client in Santa Clara, CA

Job Title: SCALA - AI Software Engineer

Job Location: Santa Clara, CA

Job Type: Contract

Job Overview:

Pay Range: $42hr - $47hr

Requirement/Must Have:

• 8+ 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.

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 AI-led 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 iteratively.

Nice to Have:

• Experience with LLM application development, RAG pipelines, prompt engineering, or LangChain, LlamaIndex.
• 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, ZIO.

Skills:

• 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 CI/CD pipelines.
• Familiarity with data modeling, ETL/ELT pipelines, and working with large-scale datasets.
• 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.
• Demonstrated ability to mentor and upskill engineers at junior and mid levels.
• Passionate about building a culture of continuous learning and AI-augmented development.
• Strong communication skills, able to translate technical concepts to non-technical stakeholders.

Education and Experience:

• Languages and 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, AI-native IDE, multifile editing, agent mode, Windsurf, Cascade agentic workflows, AI-driven code navigation, LLM application development, LangChain, LlamaIndex, RAG pipelines, vector databases (Pinecone, Weaviate, pgvector).
• Cloud infrastructure: Cloud platforms (AWS, S3, EC2, ECS, Lambda, Kinesis, RDS, Google Cloud Platform, or Azure), Containerization (Docker, Kubernetes, Helm), CI/CD (GitHub Actions, Jenkins, GitLab CI, ArgoCD), Infrastructure as Code (Terraform, Pulumi).
• Observability and quality: Monitoring and logging (Datadog, Grafana, Prometheus, ELK Stack), Testing (unit, integration, contract testing, ScalaTest, Test containers), Code quality (SonarQube, linting, static analysis).