Gen AI/ ML Engineer

Job Overview:

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, and workflow automation using state-of-the-art AI models. This role requires hands-on experience integrating various LLM models, and 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 to deliver AI-powered solutions, including data scientists, developers, and product managers.

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.

Multiple locations in India.