Gen AIML Engineer
Gen AIML Engineer
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Job Description
We are seeking a highly skilled GenAI/ML Engineer with strong experience in Langchain and Python-based solutions. The ideal candidate will have expertise in:
- Building document query systems
- Text search engines
- Sentiment analysis tools
- Workflow automation using state-of-the-art AI models
This role requires hands-on experience integrating various LLM models vector indexing strategies and leveraging modern development tools to build scalable AI-powered applications.
Key Responsibilities:
- Design and develop document querying text search and sentiment analysis systems using LangChain Python and vector database solutions.
- Build and optimize vector indexing pipelines and integrate with LLMs for intelligent document processing.
- Develop and implement workflow solutions using Azure Functions Logic Apps and OpenAI GPT-4o Mistral and Gemini models.
- Utilize GitHub Copilot and other GenAI code builder tools for efficient collaborative development.
- Integrate and automate email scanning processes using MAPI API.
- Develop and manage user interface profiles to enhance user experience across applications.
- Perform prompt engineering to fine-tune model outputs for business-specific use cases.
- Work with SQL databases for data storage indexing and retrieval operations.
- Collaborate with cross-functional teams including data scientists developers and product managers to deliver AI-powered solutions.
Required Skills & Experience:
- Strong proficiency in Python with hands-on experience in LangChain and document processing libraries.
- Solid experience with LLM integrations (OpenAI GPT-4o Mistral Gemini etc..
- Experience in building solutions using Azure Functions Logic Apps and other Azure services.
- Familiarity with GitHub Copilot and GenAI-enhanced coding environments.
- Deep understanding of vector indexing embedding techniques and similarity search algorithms.
- Experience in email scanning particularly using MAPI API.
- Knowledge of SQL database querying and management.
- Strong skills in prompt engineering for fine-tuning LLM outputs.
- Experience in developing and managing UI profiles.
- Strong problem-solving skills attention to detail and ability to work in an agile fast-paced environment.
Preferred Qualifications:
- Exposure to cloud platforms like Azure AWS or GCP.
- Previous experience in building AI-driven workflow automation solutions.
- Familiarity with other LLM frameworks and API ecosystems.
genai,devops,github copilot,openai gpt-4o,langchain,python,workflow automation,sentiment analysis tools,llm models,text search engines,cloud,ml,sql databases,mapi api,prompt engineering,mistral,azure functions,logic apps,vector indexing,gemini
Employment Type
Full Time
