Amdaris
SeniorAIEngineer(Python)
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“Senior AI Engineer (Python) at Amdaris. Skills: Python, LLMs, Azure, AI engineering. Contribute to Conversation Brain. Contribute to Ambient ORA”
What They're Looking For.
Must Have
Python development skills, FastAPI, agentic and LLM frameworks, CrewAI, LangGraph, LangChain, Production experience with LLMs, prompt engineering, model evaluation, operationalizing research outputs into production services, Azure OpenAI, Google Vertex AI, Azure services, Container Apps, Service Bus, Key Vault, Blob Storage, CI/CD, DevOps, SDLC, Docker, Fluent English, spoken and written
Nice to Have
Kubernetes experience, AWS, LLM observability and monitoring tools, Langfuse, OpenLit, New Relic, ML/NLP tooling, PyTorch, Hugging Face Transformers, spaCy, scikit-learn, Go, read, modify, and maintain existing Go services
What You'll Do.
Contribute to Conversation Brain
Contribute to Ambient ORA
Design production-grade agentic content workflows
Generate educational content at scale
Validate educational content at scale
Own end-to-end lifecycle
Manage production operations
Work at heart of production AI systems
How You'll Work.
Communication Scope
Fluent English, spoken and written
Full Job Description
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. About the Project We are building production-grade agentic content workflows for an English Language Learning platform. It uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations. About the Role We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products for our client. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R Kubernetes experience is a plus. Required Skills & Qualifications Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks (CrewAI, LangGraph, LangChain, or equivalent). Production experience with LLMs, including prompt engineering, model evaluation, and operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and familiarity with AWS. Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent). Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus. Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus. Daily user of AI developmen
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