Senior Backend Engineer

Design and scale async REST/WebSocket APIs in Python (FastAPIor similar), using dependency injection, type hints, and clean, vertical-slice architecture

Implement multi-agent workflows (sequential, concurrent, and handoff patterns) to route work among specialized LLM agents

Integrate multiple LLM providers behind a provider-agnostic layer, enabling A/B testing and cost-aware routing rather than hard-coding a single vendor

Build andmaintainRetrieval-Augmented Generation (RAG) pipelines against vector stores such aspgvector, Chroma, or a managed vector search service

Design schemas and evolve data models (SQLAlchemy/SQLModel-style ORM plus migrations) that support both traditional application logic and AI-driven features

Instrument services with structured logs, distributed tracing, and cost/latency metrics, holding a real bar for p95 response time under production load

Maintain end-to-end CI/CD ownership, lint, type-check, test, package, and deploy, so releases are boring and safe

Champion AIacross the delivery lifecycle, not just code generation, and set the guardrails the team works inside: how generated code gets reviewed, how provenance and licensing are checked, and what customer data may enter a prompt

Move ideas from concept to production fast, with real ownership over architecture and outcomes, not just tickets

Who You Are & What You'll Need to Succeed

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 experiencewith vector databases and RAG-style retrieval architectures, not just reading about them

Strong relational database skills: schema design, query optimization, and migration discipline

AI-augmented delivery: you use AI across the delivery lifecycle, not just code generation, and can say which models suit which problems and where youdon'tuse them. You review AI-generated code knowing its failure modes, and you have set the guardrails others work inside — review expectations for generated code, provenance and licensing checks, and clear boundaries for what customer data enters a prompt and what a security or compliance review will ask for.

End-to-end CI/CD ownership, from build and test through packaging and deployment

A self-starting,go-gettermindset: comfortable with ambiguity, fast iteration, and owning a problem until it'sactually solved

Bonus: experience with multi-agent orchestration frameworks (Semantic Kernel,LangChain, or similar) and LLM cost/observability tooling

Why You'll Love Us

Work-life balance.Meaningful work, balanced by a culture that respects your time.

A culture of belonging.We celebrate what makes each of us different, with 20+ affinity groups connecting employees globally.

We care about you.Excellent Health, HSA, Dental, Vision, Matching 401K, Life/AD&D/STD/LTD, Tuition Reimbursement, Pet Insurance, and generous PTO.

Where can we take you?Mentorship, new challenges, and real career growth. Unfold new possibilities #OTOD!

Employment with Newfold Digital is at-will and nothing in this Job Description should be interpreted or construed to alter the at-will employment relationship.

This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.