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Python Fullstack Engineer
Python Fullstack EngineerMindlance • San Diego, CA
Python Fullstack Engineer

Python Fullstack Engineer

Mindlance • San Diego, CA
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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.
  • . Context Engineering : Proven experience performing context engineering and prompt tunning.
  • . 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.
  • EEO :

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