Job Title: Python Developer with AI Client Location: Jacksonville, FL (100% Remote) Duration: Long Term Only USC/GC on W2 Job Description Responsible for development, programming, coding of Information Technology solutions using Python to enable Client Customer Experience applications. Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application.
REQUIREMENTS: Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures Demonstrated organizational, analytical and interpersonal skills Flexible team player Ability to manage tasks independently and take ownership of responsibilities Ability to learn from mistakes and apply constructive feedback to improve performance Must demonstrate initiative and effective independent decision-making skills Ability to communicate technical information clearly and articulately Ability to adapt to a rapidly changing environment In-depth understanding of the systems development life cycle May include database knowledge in; SQL, MySQL, Oracle DB, PostgreSQL, Cassandra, dBase, MS Access, etc Responsible for development, programming, coding of Information Technology solutions using Python Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. Excellent understanding of RESTful Architecture style. We expect the candidate to have ability to take methodical approach to evaluate various libraries with pros and cons to meet business / technical requirements. Excellent understanding of Python programming mode and required libraries to develop REST API Services. Must have demonstrated experience developing REST APIs using Python. Must have demonstrated experience processing batch files using Python Must have demonstrated experience developing scheduling of batch processes Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy PREFERRED QUALIFICATIONS: The preferred qualifications listed below reflect desired knowledge, skill, and/or experience. Additional Preferred Qualifications: Various Domain experience; Health Care, Financial, etc Experience using Agile, Waterfall, or hybrid methodology Specific tools, languages and specialty skills may vary React UI development experience is preferable Strong experience in building Advanced Retrieval Augmented Generation (RAG) applications with required guardrails Strong experience with a programming language Python with Java background Experience leading projects and working in a collaborative, interdisciplinary team environment, consisting of data scientists, ML engineers, and domain experts Proficient professional hands-on experience in Generative AI Experience integrating LLMs, such as Llama, Mistral, generative pre-trained transformer (GPT) models, or multi-modal models with applications or user interfaces Experience working with modern AI capabilities in ML such as Scikit-learn or pandas Experience with natural language processing such as Gensim or NLTK, large language model (LLM) frameworks such as Lang Chain, Hugging Face and API integration and development such as RESTful APIs Experience finetuning LLMs and creating and leveraging vector databases such as Pgvector, Redis, Elasticsearch for Retrieval Augmented Generation Experience with standup of cloud-based infrastructure and platform services, including AWS or Azure Experience of how to evaluate generative AI models and model output, and how to apply responsible AI principles to LLMs Experience with container technologies, such as Docker or Kubernetes Ability to distill complex technical concepts into easily understandable summaries consumable by business leaders with a non-technical background Knowledge of LLMOps,including frameworks and tools used for deploying LLMs, such as FastAPI, Flask, or Streamlit Knowledge of MLOps, including CI/CD, model training or testing, deployment, or monitoring Familiarity with DevOps principles, including code repository, code management, CI/CD React UI development experience is preferable REQUIRED EDUCATION/EXPERIENCE: Related Bachelor’s degree or related work experience 5+ years related work experience, professional experience with technical design and coding in the IT industry Strong experience in building Advanced Retrieval Augmented Generation (RAG) applications with required guardrails Strong experience with a programming language Python with Java background Experience leading projects and working in a collaborative, interdisciplinary team environment, consisting of data scientists, ML engineers, and domain experts Proficient professional hands-on experience in Generative AI Experience integrating LLMs, such as Llama, Mistral, generative pre-trained transformer (GPT) models, or multi-modal models with applications or user interfaces Experience working with modern AI capabilities in ML such as Scikit-learn or pandas Experience with natural language processing such as Gensim or NLTK, large language model (LLM) frameworks such as Lang Chain, Hugging Face and API integration and development such as RESTful APIs Experience fine tuning LLMs and creating and leveraging vector databases such as Pgvector, Redis, Elasticsearch for Retrieval Augmented Generation Experience with standup of cloud-based infrastructure and platform services, including AWS or Azure Experience of how to evaluate generative AI models and model output, and how to apply responsible AI principles to LLMs Experience with container technologies, such as Docker or Kubernetes Ability to distill complex technical concepts into easily understandable summaries consumable by business leaders with a non-technical background Knowledge of LLM Ops, including frameworks and tools used for deploying LLMs, such as Fast API, Flask, or Stream lit Knowledge of MLOps, including CI/CD, model training or testing, deployment, or monitoring Familiarity with DevOps principles, including code repository, code management, CI/CD *Primary is Python/AI dev experience
PostgreSQL ms-access Agile scikit-learn streamlit Artificial intelligence (AI) Amazon Web Services (AWS) Azure nltk OpenAI GPT MLOps Docker Cassandra garbage-collection API Integrations MySQL Retrieval-Augmented Generation (RAG) gensim REST GenAI Natural language processing (NLP) CI/CD pandas Python Hugging Face dbase Flask FastAPI Oracle DevOps SQL Kubernetes waterfall LLM