Note: The job is a remote job and is open to candidates in USA. RAZOR is seeking an AI/ML Engineer to design, develop, and deploy intelligent systems that address business and customer needs. The role involves building production-ready AI solutions, integrating generative AI and machine learning capabilities into products and workflows, and ensuring their reliability, safety, and performance.
Responsibilities
- Design, build, test, and deploy AI and machine learning applications
- Develop solutions using large language models, retrieval-augmented generation (RAG), agents, embeddings, and prompt engineering
- Integrate AI capabilities into existing products, platforms, and business workflows
- Build data pipelines and supporting services for model training, evaluation, and inference
- Establish evaluation frameworks to measure accuracy, reliability, safety, latency, and cost
- Monitor and improve AI systems in production environments
- Implement responsible AI practices, including privacy, security, bias mitigation, and human oversight
- Document architecture, technical decisions, experiments, and operational procedures
- Stay current with developments in AI research, tools, platforms, and engineering best practices
Skills
- Ability to obtain a medium level Government Public Trust Security background check will be required
- • 5+ years of experience in software engineering, machine learning engineering, or a related technical role
- • 3+ years of experience in Python and software development best practices
- • 3+ years of experience with generative AI and large language models
- • Familiarity with APIs, cloud platforms, databases, version control, testing, and CI/CD
- • Experience with AWS Bedrock
- • Experience with Artificial Intelligence Optical Character Recognition (OCR)
- • Experience with Docker
- • Experience with Amazon SageMaker
- • Experience with JupyterLab
- • Understanding of machine learning concepts, model evaluation, and data preparation
- • Strong analytical, problem-solving, communication, and collaboration skills
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field preferred. Equivalent combination of education and experience may be considered
- • Familiarity with Salesforce and MuleSoft
- • Experience with generative AI and large language models
- • Experience with frameworks such as PyTorch, TensorFlow, LangChain, or similar tools
- • Experience with vector databases and retrieval systems
- • Experience with MLOps, model monitoring, and scalable inference systems
- • Knowledge of responsible AI, data privacy, and AI security practices
- • Experience delivering AI solutions from prototype through production
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k) retirement plan with company match
- Paid time off
- Company holidays
- Opportunities for professional growth and development
Company Overview
Company H1B Sponsorship