Python Fullstack EngineerMindlance • San Diego, CA
Python Fullstack Engineer
Mindlance • San Diego, CA
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[job_card.full_time]
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Job Description :
Must-Have Qualifications :
. STEM Background : Minimum -year experiences with a Bachelor’s or Master’s with minimum -year experience in a STEM field (, Computer Science, Engineering, Physics, Mathematics) with a dedicated focus on AI / ML in the last – years.
. Proven experience with Google Gemini / Vertex AI (Non-negotiable). Hands-on experience with Gemini family of generative AI models and associated technologies, including training, fine-tuning, and deployment.
. Languages : Proficiency in Python, TensorFlow and other Machine Learning and Artificial Intelligence libraries for building LLM agents, tools and MCP servers.
. Create REST-APIs to serve AI services and Front-end development for user interface design and development.
. Experience with Vector databases such as Pgvector, AlloyDB etc., graph databases, and other knowledge representation technologies. Clear understanding of Retrieval Augmented Generation (RAG), knowledge representation techniques.
. Unstructured Data Handling : Demonstrated ability to work with unstructured data, including text documents, images, and other media types, and perform data cleaning, preprocessing, and transformation for AI applications (Non-negotiable).
Responsibilities :
. Perform RAG, Grounding, Prompt Engineering in a project : Craft and refine effective prompts to achieve optimal results in various tasks related to product development.
. Excellent attention to detail and organizational skills. Strong programming skills – including in python, ML ecosystem tools, and generative AI.
. Knowledge + Vector Database Development : Design, develop, and implement a robust Vector Database using LLMs and other AI technologies, focusing on capturing information from diverse sources (PDFs, design documents, regulatory requirements, etc.).
. Data Extraction and Structuring : Develop and implement pipelines for extracting data from unstructured documents, including tables, text, and images, structuring the data for LLM training and usage.
. LLM Fine-Tuning and Training : Fine-tune and train generative AI models on client specific engineering data and domain knowledge to create domain-specific models.
. AI Tool Development : Design and develop a user-friendly GenAI tool that integrates with the knowledge base, allowing engineers to ask questions, generate technical requirements, and perform engineering analyses.
. Technical Requirements Generation : Implement functionality for automatically generating technical requirements from design documents, user stories, and system requirements using LLMs.
. Documentation and Knowledge Transfer : Thoroughly document all development processes, including designs, architecture, code, and training procedures. Provide adequate knowledge transfer to client internal teams, enabling them to maintain and expand the system.
. Collaboration : Work closely with the Subject Matter Experts and engineers to implement and optimize AI-powered workflows.
Additional Preferred Skills (not required, but a plus) :
Experience in creating REST-APIs.
Familiarity with medical device development regulations (, FDA guidelines, ISO ).
Experience with front-end development for user interface design and development.
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