hc1 RxView™
Overview hc1 Insights is looking for a skilled Software Engineer to design, develop and install software solutions, with a specialized focus on building AI driven solutions. The successful candidate will be able to build high-quality, innovative, and fully performing software in compliance with coding standards and technical design. In this role, you will design, modify, develop, write, and implement software programming applications. You will also participate in testing through test review and analysis, test witnessing, and software certification.
You need to work independently with little supervision. Have the ability to prioritize well, communicate clearly, possess a consistent track record of delivery, and demonstrate excellent software engineering skills. You must be able to work across multiple facets of the project and juggle multiple responsibilities simultaneously.
What you'll do Design, develop, and implement scalable AI and machine learning models
Build and maintain robust, high-performance machine learning pipelines for model training, evaluation, and deployment in a production environment
Integrate AI models and solutions into existing software applications via APIs or embedded code
Optimize AI algorithms and models for improved performance, scalability, and efficiency
Participate in code reviews, documentation of design, and implementation of Agile methodologies to ensure high quality software
Troubleshoot and fix software application problems
Participate in software process quality efforts
Complete other duties as assigned
What you bring A four-year degree in Computer Science, Engineering or related field
2+ years experience with software design and development
Experience with Gen AI technologies, LLMs, and agent frameworks
Experience with Prompt engineering
Proficiency in Python and its associated AI/ML libraries (e.g., scikit-learn, Pandas, NumPy)
Solid understanding of core AI concepts, including supervised and unsupervised learning, deep learning, and neural networks
Experience developing modern web user interfaces
Demonstrated troubleshooting and problem solving skills
Professional skills in working with various relational database systems
Ability to work both independently and in small team environments
AI Technologies: AWS Bedrock, Sagemaker
Container technologies: Docker, ECS
Amazon Web Services (AWS): EC2, SQS, S3, Lambda
Web Services REST API’s
Continuous integration tools (Github, Jenkins, TravisCI, Artifactory, JIRA)
Agile principles (Scrum): scrum master facilitated ceremonies: planning, backlog grooming, daily stand-ups, demo and retro
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