GenAI framework design architecture
langchain vector database
implement chatbot
rag chroma db
Ask- AI/Gen AI architect who will need to be a practitioner + arch person who can evaluate /guide multiple AI solutions and be able to join client team to do co-development as well.
Job Description:
- Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare
- Build enterprise grade AI solutions with focus on privacy, security, fairness.
- Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions
- Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles.
- Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards
- Build solutions that align with responsible AI practices.
- Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes.
- Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes
- Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.
- Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions
- Optimize existing generative AI models for improved performance, scalability, and efficiency.
- Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Contribute to the establishment of best practices and standards for generative AI development within the organization.
Qualifications:
- Degree in Computer Science, Artificial Intelligence, or a related field.
- 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging
- Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus.
- Experience with information storage/retrieval using vector databases like pinecone.
- Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s.
- Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc)
- Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Programming experience in C/C++, Java, Python.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
- Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
- Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
- Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment