Senior Frontend Engineer

Newfold Digital

. Design and scale async REST/WebSocket APIs in Python using FastAPI or similar, dependency injection, type hints, and clean vertical-slice architecture .

Posted 9/15/2026full-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 champion AI across the delivery lifecycle.

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 DesignDependency InjectionSQLAlchemySchema DesignQuery OptimizationVector DatabasesMulti-Agent WorkflowsCost-Aware RoutingStructured Logging

Soft Skills

Self-StarterProblem OwnershipComfortable with AmbiguityFast Iteration

Tools & Technologies

FastAPIPgvectorChromaCI/CD ToolsDistributed TracingAI-Generated Code ReviewSemantic KernelLangChain

Industry Keywords

AI-Augmented DeliveryProvenance ChecksLicensing ChecksCustomer-Data Use

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and scale async REST/WebSocket APIs in Python using FastAPI or similar, dependency injection, type hints, and clean vertical-slice architecture
Implement sequential, concurrent, and handoff multi-agent workflows among specialized LLM agents
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 ownership, including linting, type-checking, testing, packaging, and deployment
Champion AI across the delivery lifecycle and establish guardrails for code review, provenance, licensing, and customer-data use
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, including selecting models, reviewing AI-generated code, and establishing guardrails
Experience with provenance and licensing checks and customer-data prompt boundaries
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 (Semantic Kernel, LangChain, or similar) and LLM cost/observability tooling

Benefits

Comp & perks

Work-life balance
Culture of belonging
20+ affinity groups connecting employees globally
Excellent Health
HSA
Dental
Vision
Matching 401K
Life/AD&D/STD/LTD
Tuition Reimbursement
Pet Insurance
Generous PTO
Mentorship
New challenges
Real career growth