[Hiring] Software Developer III @Rackspace Technology

Role Description

Job Role: Senior AI Developer (Fullstack with AI development)

Job Profile: Software Developer III-IN

Skillset: Python, React or Next.js, REST API with AWS Bedrock, LangChain, and LangGraph

Experience: 7 to 9 years

About the Team:

• The AI at Rackspace (AIR) team is focused on accelerating AI adoption across Rackspace.
• We build platforms, tooling, and AI-powered applications to empower engineering teams.

What You'll Do:

• Design and deliver full stack AI-powered applications from frontend to backend with a focus on scalability and reliability.
• Build and integrate LLM-powered features using AWS Bedrock, LangChain, and LangGraph.
• Develop and maintain RESTful and event-driven APIs that power AI workflows.
• Deploy and manage services on Kubernetes in collaboration with the platform team.
• Contribute to shared libraries, reusable components, and internal AI enablement tools.
• Support and mentor AI Developers (SD II) through code reviews and technical guidance.
• Participate in architecture discussions and help shape engineering standards within the team.

Qualifications

• Python — strong proficiency; primary language for backend and AI workflow development.
• Full Stack Development — solid experience with a modern frontend framework (React or Next.js) and backend engineering.
• AWS — hands-on experience with core services (Lambda, S3, ECS/EKS, API Gateway, IAM).
• LangChain / LangGraph — practical experience building LLM-driven applications or agentic workflows.
• AWS Bedrock — working knowledge of foundation models and prompt-based integrations.
• Kubernetes — comfortable deploying and debugging containerized workloads.
• REST API Design — ability to design, build, and document production-grade APIs.

Requirements

• Experience with RAG pipelines (vector stores, embeddings, retrieval strategies).
• CI/CD experience (GitHub Actions, ArgoCD, or similar).
• Familiarity with observability tooling (LangSmith, OpenTelemetry, CloudWatch, Grafana).
• Background in platform or infrastructure engineering.
• Experience contributing to or building internal developer platforms (IDPs).
• Familiarity with prompt engineering techniques and LLM evaluation.

Benefits

• Comfortable with ambiguity & enjoy building in a fast-moving enablement environment.
• Like working across the stack — from a React component to a LangGraph agent.
• Care about developer experience and think about your teammates as your users.
• Ready to take on more technical ownership and grow toward a lead role.

Shared Requirements (All Roles)

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Strong communication skills — able to collaborate effectively across technical and non-technical teams.
• Experience working in agile, cross-functional teams.
• Genuine passion for AI and a growth mindset around emerging technologies.