Note: The job is a remote job and is open to candidates in USA. Veridic Solutions is seeking an AI/ML Engineer to support digital transformation, student success, and learning experience initiatives. The role designs, develops, deploys, and operationalizes production-ready AI and machine learning systems, including generative AI, agents, and RAG architectures, while collaborating with cross-functional teams and contributing to enterprise AI strategy.
Responsibilities
- Design, develop, and deploy advanced AI/ML applications using Python and cloud platforms ( GCP preferred )
- Build and operationalize generative AI solutions , including enterprise AI agents and multi-agent orchestration frameworks
- Design, implement, and optimize AI-driven tools, applications, and automation pipelines for scalable production use
- Apply prompt engineering and model interaction strategies to improve accuracy, reliability, and usability of generative AI systems
- Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging institutional and domain-specific data
- Evaluate AI system performance using qualitative and quantitative metrics and incorporate feedback for continuous improvement
- Partner with data engineering teams to develop robust data pipelines and integrate AI services into enterprise platforms
- Collaborate with software engineers, QA, product owners, business analysts, and agile teams to deliver AI-enabled features
- Produce and maintain technical documentation explaining system design, behavior, and recommendations for both technical and non-technical audiences
- Participate in sprint planning, code reviews, and cross-team design discussions
- Contribute recommendations to AI strategy, governance, and quality frameworks
Skills
- • Advanced Python programming for AI/ML development, including TensorFlow, PyTorch, NumPy, Pandas
- • API and service development using FastAPI or Flask
- • Experience with cloud-native AI architectures ( GCP preferred; AWS/Azure acceptable)
- • Design and deployment of generative AI applications integrated into enterprise software products
- • Experience building enterprise-grade AI agents and multi-agent orchestration systems
- • Familiarity with enterprise-ready agentic AI SDKs and frameworks
- • Hands-on experience with RAG architectures and vector databases
- • Experience working with LLMs, prompt engineering, and model evaluation techniques
- • Proficiency in TypeScript/JavaScript, Java, SQL, and shell scripting
- • CI/CD pipeline implementation and maintenance using Jenkins or GitLab CI/CD
- • Infrastructure-as-code experience with Terraform and/or Ansible
- • Strong problem-solving and systems-thinking skills
- • Effective communication with both technical and non-technical stakeholders
- • Self-directed, adaptable, and comfortable working in fast-paced environments
- • 5+ years of experience in software development, systems integration, and enterprise implementations
- • Hands-on experience evaluating and monitoring AI/LLM systems in production, including observability and performance frameworks
- • Experience with cloud platforms and managed AI services (GCP preferred)
- • Demonstrated ability to lead technically complex initiatives independently
- • Bachelor's degree in Computer Science, Data Science, Engineering, or other technical field
- • All degrees must be conferred from an institution accredited by an accrediting agency recognized by the U.S. Department of Education
- • Experience applying AI solutions in education, digital learning, or regulated environments preferred
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