Commit

Senior Machine Learning Engineer

Commit

full-time

Posted on:

Origin:  • 🇦🇲 Armenia

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Job Level

Senior

Tech Stack

AzureDockerETLJavaScriptKubernetes.NETNext.jsPythonReactRedisSQL

About the role

  • Integrate and optimize applications using LLM provider APIs (e.g. OpenAI Chat Completions), including model/parameter selection, structured output, function calling, etc.
  • Design and refine prompts with few-shot, chain-of-thought, context crafting, and prompt chaining techniques.
  • Benchmark and evaluate models (e.g., reasoning vs. non-reasoning) using custom eval sets and automated testing frameworks.
  • Build and monitor RAG pipelines, implement summarization, chat with data and other use cases.
  • Develop robust backend services in .NET and Python, working with SQL, REST APIs, and integrating with LLM services.
  • Implement LLM tracing, monitoring, and logging for observability.
  • Apply prompt security best practices, including injection protection and guardrails.
  • Collaborate across teams to build agentic workflows, and support ETL/data transformations for AI readiness.

Requirements

  • 1-2+ years demonstrable experience in developing Generative AI applications.
  • 3+ years of experience as a software developer.
  • Proven hands-on experience with OpenAI APIs, model selection, and LLM capabilities.
  • Proven hands-on experience with prompt engineering, including structured prompts, function calls, and evaluation techniques.
  • Experience with RAG and building LLM-centric workflows.
  • Strong backend development skills in .NET (C#) and SQL.
  • Proficiency in Python; familiarity with JavaScript.
  • Experience with Docker, Kubernetes, and RESTful APIs.
  • Familiarity with Azure, particularly AKS, ACR, and containerized app deployment.
  • English - fluent speaking, reading and writing.
  • Advantage: Experience with Azure OpenAI, PromptFlow, Azure AI Services, and Azure ML.
  • Advantage: Familiarity with CosmosDB, KQL, Azure Log Analytics, App Insights.
  • Advantage: Exposure to other LLM APIs (Anthropic, Mistral, Cohere, etc.).
  • Advantage: Prompt caching/compression, LLM output validation.
  • Advantage: Familiarity with Redis caching.
  • Advantage: Frontend experience with React and Next.js.