Senior Backend Engineer

Newfold Digital

. Design and scale async REST/WebSocket APIs in Python using FastAPI or similar .

Posted 11/5/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling async REST/WebSocket APIs in Python, with a strong focus on integrating LLM providers and building RAG pipelines. Proven ability to maintain end-to-end CI/CD processes and establish AI delivery guardrails while owning architecture and outcomes.

Highest-signal resume keywords

Python Backend DevelopmentAsync API DesignLLM IntegrationRAG Pipeline DevelopmentEnd-to-End CI/CD Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Async I/O ExperienceREST API DesignSchema DesignQuery OptimizationVector Database ExperienceSQLAlchemyDistributed TracingCost/Loss MetricsDependency InjectionMulti-Agent Workflows

Soft Skills

Self-StarterProblem OwnershipComfortable with AmbiguityFast Iteration

Tools & Technologies

FastAPIPgvectorChromaCI/CD ToolsSemantic KernelLangChain

Industry Keywords

AI Delivery GuardrailsCode ReviewProvenanceLicensingCustomer Data SecurityCompliance

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and scale async REST/WebSocket APIs in Python using FastAPI or similar
Implement sequential, concurrent, and handoff multi-agent workflows
Integrate multiple LLM providers behind a provider-agnostic layer for A/B testing and cost-aware routing
Build and maintain RAG pipelines using vector stores such as pgvector, Chroma, or managed vector search services
Design schemas and evolve data models using SQLAlchemy/SQLModel-style ORM and migrations
Instrument services with structured logs, distributed tracing, and cost/latency metrics
Maintain end-to-end CI/CD, including linting, type-checking, testing, packaging, and deployment
Establish AI delivery guardrails for code review, provenance, licensing, and customer data usage
Move ideas from concept to production with ownership of architecture and outcomes

Requirements

What you’ll need

5+ years building production backend systems in Python, with real async I/O experience
Hands-on experience designing and scaling REST or async APIs, including dependency injection and clean service architecture
Practical experience integrating LLM APIs (OpenAI, Gemini, or similar) and building AI-readiness into backend systems from the ground up
Real experience with vector databases and RAG-style retrieval architectures
Strong relational database skills: schema design, query optimization, and migration discipline
AI-augmented delivery across the delivery lifecycle
Ability to identify which AI models suit which problems and where not to use them
Experience reviewing AI-generated code and establishing guardrails for generated code, provenance, licensing, customer data, security, and compliance
End-to-end CI/CD ownership, from build and test through packaging and deployment
Self-starting, go-getter mindset; comfortable with ambiguity, fast iteration, and owning problems through resolution
Bonus: experience with multi-agent orchestration frameworks such as Semantic Kernel, LangChain, or similar, and LLM cost/observability tooling

Benefits

Comp & perks

Work-life balance
Diversity and inclusion programs
Learning and development opportunities
20+ affinity groups for networking and connection
Health Insurance options
HSA
Medical insurance
Dental insurance
Vision insurance
Matching 401K
Life/AD&D/STD/LTD insurance
Tuition Reimbursement
Pet Insurance
Generous vacation policy
Mentorship and career growth opportunities