Senior AI Software & QA Engineer — Hybrid

Wissen Technology; Alpharetta (GA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare options

Short/long-term disability insurance

Life insurance

AD&D insurance

401k

3 weeks PTO

Immigration fee support

Remote office stipend

Certifications support

Cash incentives

Reskilling opportunities

Job summary

Wissen Technology seeks a Senior AI Software & Quality Engineer to bridge Python development, QE, and AI. You will write feature code, build test infra, and integrate AI into production systems. Expect to work with FastAPI/Django, LLMs, RAG, and vector databases while ensuring quality through automated testing and CI/CD pipelines.

You will also collaborate across cloud infra (AWS/GCP), containerization, and model fine-tuning, with a hybrid 3-days onsite schedule and full-time commitment.

Qualifications

• Advanced Python development including concurrency and async programming.
• Experience building automated test infra (API, performance, integration tests).
• Experience with AI model integration, RAG pipelines, embeddings and vector DBs.
• Cloud infra familiarity (AWS/GCP) and CI/CD workflows.

Responsibilities

• Architect and write scalable backend services in Python.
• Integrate LLMs and vector databases, deploy AI models.
• Build automated test suites and validation layers for AI outputs.
• Own end-to-end delivery, Docker environments, and CI/CD quality gates.

Skills

Python programming

Automated testing

AI integration

Playwright

pytest

FastAPI/Django

LangChain/LlamaIndex

Vector databases

AWS/GCP

CI/CD (GitHub Actions/GitLab)

SQL/NoSQL

Education

Graduate-level degree in CS/Engineering

Tools

Python frameworks (FastAPI, Django)

Playwright

pytest

LangChain

LlamaIndex

Chroma/Pinecone

Docker

CI/CD tooling

Job description

Wissen Technology seeks a Senior AI Software & Quality Engineer to bridge Python development, QE, and AI. You will write feature code, build test infra, and integrate AI into production systems. Expect to work with FastAPI/Django, LLMs, RAG, and vector databases while ensuring quality through automated testing and CI/CD pipelines.

You will also collaborate across cloud infra (AWS/GCP), containerization, and model fine-tuning, with a hybrid 3-days onsite schedule and full-time commitment.