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.
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.
What You’ll Do
- 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.)
Nice to Have
- 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.
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.
Bold Business recruiters always use a “@boldbusiness.com” email address and/or from our Applicant Tracking System, Greenhouse. Any variation of this email domain should be considered suspicious. Additionally, Bold Business recruiters and authorized representatives will never request sensitive information in email or via text.
Originally posted on Himalayas