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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend software development with a focus on building and integrating production-grade REST APIs, data pipelines, and AI capabilities. Proficient in Python and familiar with cloud-native deployments, ensuring service reliability and performance in complex systems.
Highest-signal resume keywords
Backend Software DevelopmentPython ProgrammingAPI Design and IntegrationCloud-Native DeploymentData Pipeline Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
REST API DevelopmentDistributed ServicesLLM/AI API IntegrationPostgreSQLContainerizationCI/CDGraph DatabasesOrchestration ToolsRAG FrameworksKnowledge Graph Systems
Soft Skills
Structured CommunicationSystemic ThinkingOwnershipQuality DisciplineComfort with Ambiguity
Tools & Technologies
AzureAWSGCPMLflowPrefectAirflowDatabricksClaude CodeCursorCopilot
Industry Keywords
AI/LLM ToolsData HubAgent WorkflowsMCPLegal DomainArchitecture/Engineering/ConstructionERP DomainsBusiness Knowledge GraphHybrid Vector SearchModel Context Protocol
Tech Stack
Tools & technologiesAirflowAWSAzureCloudERPGoogle Cloud PlatformNeo4jPostgresPython
About the role
Key responsibilities & impact- Design, build, and operate production-grade REST APIs and backend services powering empower's Data Hub and Agent Workflows
- Integrate open-source and commercial AI/LLM tools into backend systems, including RAG pipelines, embeddings, vector search, and model routing across providers
- Build and maintain data pipelines and integrations feeding the Business Knowledge Graph
- Own service reliability, performance, security, monitoring, cost, and scaling
- Collaborate with AI Product Engineers to expose platform primitives, including tool endpoints, retrieval APIs, and data contracts, for agent workflows
- Integrate open-source and commercial AI capabilities cleanly and reliably into the platform foundation
- Build scalable APIs, distributed services, data pipelines, and retrieval infrastructure connecting enterprise data, knowledge, and AI capabilities across the empower platform
Requirements
What you’ll need- 5+ years of backend software development experience
- Python as the primary language for AI-adjacent work
- Proven track record designing and shipping production APIs and distributed services
- Hands-on experience integrating LLM/AI APIs, including Anthropic, OpenAI, or open-weight models via vLLM/Ollama, into real applications
- Working knowledge of retrieval architectures built on PostgreSQL with pgvector and pg_search
- Knowledge of chunking and hybrid vector/full-text search
- Familiarity with MCP (Model Context Protocol) for exposing tools and data to AI agents
- Comfort with cloud-native deployment; Azure preferred, with AWS/GCP experience transferable
- Experience with containerization and CI/CD
- Daily hands-on use of Claude Code or a comparable AI coding agent such as Cursor, Copilot, or Codex
- Familiarity with Neo4j or other graph databases
- Exposure to MLflow or another experiment-tracking/model-lifecycle tool
- Hands-on experience with Prefect or a comparable orchestrator such as Airflow
- Working knowledge of LlamaIndex or a comparable RAG framework
- Experience with knowledge-graph or ontology-backed systems
- Prior exposure to services-centric, legal, Architecture/Engineering/Construction, or ERP domains
- Experience with Azure AI, Databricks, or similar enterprise data platforms
- Ability to demonstrate agency, systemic thinking, structured communication for AI-directed work, ownership and quality discipline, and comfort with ambiguity
Benefits
Comp & perks- Remote work option
- Hybrid working model with flexibility depending on candidate location