Skip to content
Search jobs inside your AI agent. Claude, ChatGPT, Claude Code, Codex, Gemini, Cursor and Grok
Connect

Draycott Deen

NewBe an early applicant

Senior AI Engineer

Posted Updated
Discussion

Description

Job Details:
- Role: Senior AI Engineer.
- Salary: $1500 per month.
- Language Required: English and Spanish.
- Location: Remote.

About the Role:
- We are seeking a Senior AI Engineer to build, stabilize, and operate AI systems in production.
- You will develop agent-based workflows, integrate large language model capabilities, and improve existing systems for reliability, maintainability, and scale.
- This role requires hands-on ownership across application development and operations.
- You will work with engineering, product, and leadership stakeholders to resolve technical debt, address operational issues, communicate trade-offs, and deliver practical solutions in real-world environments.

Responsibilities:
- Design, build, and improve AI-driven systems, including agent-based workflows.
- Develop and integrate AI capabilities through REST APIs and backend services.
- Debug, refactor, and stabilize AI and LLM systems operating in production.
- Deploy, monitor, and operate AI services in the cloud using CI/CD and infrastructure as code.
- Work with engineers to reduce technical debt and resolve operational issues incrementally.
- Communicate progress, risks, and technical trade-offs clearly to product, engineering, and leadership stakeholders.
- Take ownership of practical delivery, system reliability, and long-term maintainability.

Requirements:
- Senior-level experience with 5+ years in software or AI engineering.
- C1 English level or higher.
- Strong Python programming skills with FastAPI or an equivalent framework.
- Production experience with LLM platforms such as OpenAI, Anthropic, Amazon Bedrock, or Azure OpenAI.
- Experience designing APIs and microservices.
- Experience deploying and operating services on AWS or another major cloud platform.
- Experience with REST APIs, backend services, CI/CD, and infrastructure as code.
- Hands-on experience debugging, stabilizing, and scaling production AI systems.
- Hands-on experience with Cloud Deployment and Production Operations.

Required Skills:
- Python.
- FastAPI.
- LLMs.
- OpenAI.
- Anthropic.
- Amazon Bedrock.
- Azure OpenAI.
- REST APIs.
- Microservices.
- AWS.
- Cloud Deployment.
- CI/CD.
- Infrastructure as Code.
- Production Operations.
- Azure.

Nice to Have:
- C#.
- .NET.
- LangGraph.
- LlamaIndex.
- LangChain.
- MCP.
- Docker.
- Kubernetes.
- ECS.
- CloudWatch.
- Prometheus.
- Grafana.
- Semantic Search.
- Embeddings.
- Vector Databases.
- Textract.
- Azure Document Intelligence.
- pytest.
- Playwright.
- RabbitMQ.
- Kafka.
- Redis.

Location: Remote - Anywhere

Skills required for this job:

  • AI engineering
  • API design
  • CI/CD
  • Cloud platforms
  • Docker
  • FastAPI
  • Infrastructure as code (IaC)
  • Kubernetes
  • LangChain
  • Large language models (LLMs)
  • Microservices
  • Python
  • Redis
  • Semantic search
  • Vector databases

Skills

What Senior AI Engineering jobs ask for — and how much of it you have →
Apply

See also

AI Engineering jobs by country — openings, pay and top skills →