Senior AI Engineer
Themesoft Inc.
About the role
Job Title: Senior AI Engineer
Location: Mississauga, ON L5N 0G3 (2 days onsite a week)
Duration: Long Term Contract
Job Description:
Senior AI Engineer (Machine Learning, LLM, RAG, Azure AI search, AWS services, AWS bedrock, GPT 4.1,5.2) – list of skills currently used.
• Build scalable software solutions using AI to solve challenges in healthcare
• Build enterprise grade AI solutions with focus on privacy, security, fairness.
• Define system components, data flows, and integration points across platforms (e.g., claims systems, care management tools, APIs).
• Ensure designs align with enterprise standards (security, privacy, interoperability, cloud architecture).
• Document architecture decisions and trade-offs for transparency and future scalability.
• Work with Product as a sr full stack engineer and architect and develop scalable, resilient, ethical AI solutions
• Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with AI models, receive insights and make them available in intuitive, high performing dashboards
• Strong engineering skills to design the output from the AI
• 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.
• Optimize entire software system 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.
• Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s.
Thanks & Regards,
Vignesh
vignesh@themesoft.com
Requirements
- Machine Learning
- LLM
- RAG
- Azure AI search
- AWS services
- AWS bedrock
- GPT 4.1,5.2
- Strong engineering skills
- Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s
Responsibilities
- Build scalable software solutions using AI to solve challenges in healthcare
- Build enterprise grade AI solutions with focus on privacy, security, fairness
- Define system components, data flows, and integration points across platforms
- Ensure designs align with enterprise standards
- Document architecture decisions and trade-offs for transparency and future scalability
- Work with Product as a sr full stack engineer and architect and develop scalable, resilient, ethical AI solutions
- Build extensible API Integrations, low code UI/UX solutions
- 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
- Optimize entire software system 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
Skills
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