Brain Capital AI · Brain Capital AI
Benefits
About the job:
At Brain Capital AI, our mission is to transform every business on the planet into an AI Powerhouse! We are a product and services company in the space of Generative AI. On the product side we are building a Generative AI platform to make it easy for many verticals to build end to end workflows. On the services side, we are helping small to medium sized businesses including startups incubate their next AI product idea. We are a collective of AI trailblazers, united by our passion for AI's potential and our commitment to making it accessible to all.
This is a 100% remote contract position with Brain Capital AI which is a very fast growing Generative AI startup in greater Seattle area.
As a Senior Agentic AI Engineer you will own projects from 0 to 1 as we continue to launch new products and features. This is not the typical engineering role where you create a CRUD app and call it a day. We are working on core innovations to improve the productivity of enterprises via automation using Agentic AI. Our client is a very large enterprise with millions of customers.
Job Description:
Contract to Hire: 1099
Primary Requirements:
7 - 1-0 years of experience in Software development using C# or JAVA, Full Stack (C# TypeScript/JavaScript, and Python)
Experience with Azure DevOps (ADO) Test Plan
Experience with test case generation, test data generation, test automation using Generative AI.
Azure Services
Azure OpenAI, and Cognitive Services
MCP framework
Microsoft ecosystem experience is a MUST HAVE.
Playwright, JMeter, Postman, and REST API testing
Strong Experience with LLM prompt engineering.
Design, develop, and deploy AI agents for complex enterprise workflows using Azure Agentic AI Platform such as Autogen.
Utilize Github AI Copilot to accelerate development and to automate data pipeline creation with vibe coding.
Collaborate with stakeholders to identify use cases and translate them into AI solutions.
Experience with Cursor or similar No Code / Low Code AI coding tools is a strong plus. (Examples: Open AI, Peltarion, Obviously.AI, Levity, RunwayML, Mistral, OpenAI)
Knowledge of NLP and LLMs.
Experience with MLOps tools and practices.
Good to Have:
Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration
DevOps & CI/CD: Knowledgeable in Azure DevOps, GitHub Actions, and Bicep for continuous integration and deployment
GitHub Copilot
Bachelor’s, Master’s or PhD in Computer Science, Data Science, or related field.
Requirements added by the job poster:
• Accept a background check
• Authorized to work in the United States
• 2+ years of work experience with Microsoft Azure
• 2+ years of work experience with C#
• No need for visa sponsorship
• 5+ years of Software Development experience
• No OPT Candidates
Master's
Mid-level (3-4 years) · Senior (5-7 years) · Expert and leadership (8+years)
Microsoft Azure
C#
Software Development
Software Testing
Github
DevOps
Microsoft Copilot
LLM
OpenAI
English
Computer Software·1-10 employees
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