Senior Python Engineer - Backend & Data (Remote)

About the role

We're hiring a Senior Python Engineer who can own both backend systems and the data layer behind them . This role sits between backend and data - you will build APIs, design pipelines, and ensure the data powering AI systems is clean and reliable. You'll work under a Lead Architect. You are expected to execute independently and own outcomes .

Responsibilities

• Build and maintain production Python APIs (FastAPI or similar)
• Design and run data pipelines (ETL, ingestion, transformation)
• Own data quality - validation, monitoring, failure handling
• Structure data for RAG systems and AI agents
• Design and manage databases (PostgreSQL + vector DBs)
• Integrate external systems (APIs, webhooks, third-party tools)
• Debug across backend, data pipelines, and AI outputs
• Non-Negotiables (Knockout Requirements)
• You should not apply if you cannot clearly demonstrate all of the following:
• Strong English communication (written and spoken)
• You can clearly explain technical concepts to non-technical stakeholders and operate in a U.S.-based team environment.
• You have built and maintained production Python APIs
• (not tutorials or small scripts - real systems in use)
• You have owned data pipelines end-to-end
• (ingestion → transformation → reliability in production)
• You are strong in SQL and database design
• (schemas, performance, tradeoffs - not just basic queries)
• You have worked with real, messy data
• (multiple sources, failures, edge cases - not clean datasets)
• Required Skills
• Python (4-6 years, production backend + data work)
• FastAPI or similar frameworks
• Strong SQL and database design
• API integrations (REST, webhooks)
• Testing and clean Git workflows
• AI / Data Context (Expected Working Level)
• LLM API integration (OpenAI, Anthropic, etc.)
• Understanding of how RAG systems use data
• Prompt structure and output handling
• Exposure to vector databases (pgvector, Pinecone, etc.)

Requirements

• LangChain, LangGraph, CrewAI
• Airflow, Prefect, or pipeline orchestration
• AWS / GCP experience
• Docker / CI-CD
• Basic BI / analytics tools
• What This Role Is
• A hands-on builder role
• Ownership of backend + data layer
• High accountability, low hand-holding
• What This Role Is Not
• Not a pure Data Engineer
• Not an ML research role
• Not a junior position
• Final Note
• We will go deep into your past work.
• If you can clearly explain what you built, why you built it that way, and what broke - you'll do well here.
• If not, this role will be a stretch.
• Bold Business - AI-First. Delivery-First.
• About Bold Business:
• Bold Business is a US-based global business process outsourcing (BPO) firm with over 25 years of experience and $7B+ in client engagements. We help fast-growing companies scale through smart talent strategies, automation, and technology-driven solutions.

Additional Information

About Bold Business Bold Business is an AI-first U.S.-based company building automation systems, AI agents, and production software for clients like AT&T, JP Morgan, and Verizon. We ship real systems that deliver impact - not experiments.

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