Asks for

The ad says“Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access.”
The ad says“Deep knowledge of async I/O, Pydantic v2, DI, and observability.”
The ad says“Deliver Retrieval-Augmented Generation with vector stores such as Azure AI Search, pgvector, or Chroma.”
The ad says“Maintain robust CI/CD (Bitbucket Jenkins) that lint, type-check, test, package (Docker), and deploy.”
The ad says“Deliver Retrieval-Augmented Generation with vector stores such as Azure AI Search, pgvector, or Chroma.”
The ad says“Maintain robust CI/CD (Bitbucket Jenkins) that lint, type-check, test, package (Docker), and deploy.”
The ad says“Maintain robust CI/CD (Bitbucket Jenkins) that lint, type-check, test, package (Docker), and deploy.”
The ad says“Design & scale async REST/WebSocket APIs with Python 3.11+ + FastAPI, using dependency-injection, type hints, and clean vertical-slice architecture.”
The ad says“Integrate LLM providers (OpenAI GPT-4.1/mini, Google Gemini 2.5 Flash) behind a provider-agnostic layer for A/B and cost-aware routing.”
The ad says“Expose tool-using agents via OpenAI Assistants (Code-Interpreter) for data-analysis / file-manipulation tasks.”
The ad says“Instrument services with structlog JSON logs, OpenTelemetry traces, and cost/latency metrics; hold p95 < 100 ms.”
The ad says“Deliver Retrieval-Augmented Generation with vector stores such as Azure AI Search, pgvector, or Chroma.”
The ad says“Dependency management via Poetry and virtual-env isolation.”
The ad says“Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access.”
The ad says“Deep knowledge of async I/O, Pydantic v2, DI, and observability.”
The ad says“Design & scale async REST/WebSocket APIs with Python 3.11+ + FastAPI, using dependency-injection, type hints, and clean vertical-slice architecture.”
The ad says“Implement multi-agent workflows with Semantic Kernel (handoff, sequential, concurrent) to route traffic among specialised LLM agents.”
The ad says“Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access.”
The ad says“Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access.”

Who we are.

Newfold Digital is a leading web technology company serving millions of customers globally. Our customers know us through our robust portfolio of brands. We have some of the industry's most prominent and storied go-to-market brands, including Bluehost, HostGator, Domain.com, Network Solutions, Register.com and Web.com. We help customers of all sizes build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with our customers to serve their online presence needs. The strength of our company lives in the intersection of our people, our customers, and our brands.

What you’ll do & how you’ll make your mark .

Design & scale async REST/WebSocket APIs with Python 3.11+ + FastAPI, using dependency-injection, type hints, and clean vertical-slice architecture.
Implement multi-agent workflows with Semantic Kernel (handoff, sequential, concurrent) to route traffic among specialised LLM agents.
Integrate LLM providers (OpenAI GPT-4.1/mini, Google Gemini 2.5 Flash) behind a provider-agnostic layer for A/B and cost-aware routing.
Deliver Retrieval-Augmented Generation with vector stores such as Azure AI Search, pgvector, or Chroma.
Expose tool-using agents via OpenAI Assistants (Code-Interpreter) for data-analysis / file-manipulation tasks.
Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access.
Maintain robust CI/CD (Bitbucket Jenkins) that lint, type-check, test, package (Docker), and deploy.
Instrument services with structlog JSON logs, OpenTelemetry traces, and cost/latency metrics; hold p95 < 100 ms.
Champion AI-assisted development (GitHub Copilot, Cursor) and share pragmatic problem-solving practices with the team.

Who you are & what you’ll need to succeed. 

5 + yrs building production APIs in Python; 2 + yrs with FastAPI (or similar async stack).
Deep knowledge of async I/O, Pydantic v2, DI, and observability.
Hands-on with Semantic Kernel or comparable agent frameworks.
Practical RAG implementations using Azure AI Search, pgvector, or Chroma.
Strong Postgres skills, including SQLModel/SQLAlchemy 2 and Alembic migrations.
Proven integrations or Side Projects with LLM APIs (OpenAI, Gemini) and structured-output design.
Dependency management via Poetry and virtual-env isolation.
End-to-end CI/CD ownership (build → scan → test → deploy).
Excellent analytical and problem-solving ability.
Remote work readiness with daily overlap of at least 09:00 – 13:00 EST.

Nice to have.

Event/message queues (RabbitMQ, Azure Service Bus, Kafka).
Observability stacks (Grafana, LangFuse) for LLM cost governance.

Join us to build the agent-powered backbone of our AI platform—robust, model agnostic, and ready for millions of users.

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.

Asks for

Values