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.
