Mid-Level AI Engineer / AI Developer - 3041033

We are seeking a Mid-Level AI Engineer to design, develop, deploy, and support AI-powered applications and services that deliver business value at scale. This role works closely with software engineers, product managers, architects, data teams, and business stakeholders to build enterprise-grade AI solutions using modern machine learning techniques, generative AI platforms, agent frameworks, and cloud-native software engineering practices., AI Application Development

• Design, develop, test, deploy, and maintain AI-enabled applications and services.
• Build and integrate Generative AI solutions using Large Language Models (LLMs) and foundation models.
• Develop AI-powered copilots, assistants, conversational experiences, and enterprise automation solutions.
• Engineer scalable AI workflows that leverage prompt orchestration, tool usage, and agent-based interactions.
• Translate business requirements into secure, reliable, and maintainable technical solutions.

Generative AI & Agent Engineering

• Develop AI agents, tools, workflows, and orchestration frameworks.
• Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions.
• Build and maintain MCP (Model Context Protocol) integrations, tool-calling frameworks, and multi-agent systems.
• Create and optimize prompts, system instructions, and evaluation processes to improve AI performance and reliability.
• Evaluate model behavior and implement strategies for improving response quality, grounding, and accuracy.

Software Engineering & Platform Development

• Build APIs, microservices, and backend services that support AI workloads.
• Develop reusable components and services that enable scalable AI capabilities across the organization.
• Apply software engineering best practices including code reviews, testing, documentation, and version control.
• Participate in architectural design and technical decision-making for AI solutions and platforms.
• Ensure AI services meet performance, scalability, security, and availability requirements.

AI Operations & Optimization

• Evaluate, benchmark, and optimize AI models for quality, latency, reliability, and cost efficiency.
• Implement automated testing, monitoring, logging, and observability for AI applications.
• Support AI systems in production environments and participate in troubleshooting, incident response, and root cause analysis.
• Monitor application performance and implement continuous improvements based on usage and operational insights.
• Establish evaluation frameworks and performance benchmarks for AI systems.

Governance, Security & Compliance

• Implement responsible AI practices and enterprise governance requirements.
• Ensure AI solutions comply with security, privacy, and regulatory requirements.
• Apply guardrails, content controls, identity management, and access controls where appropriate.
• Collaborate with security, compliance, and architecture teams to mitigate risks associated with AI deployments.

Professional Experience

• 3-6 years of software engineering or application development experience.
• 2+ years of hands-on experience delivering AI, machine learning, or Generative AI solutions., * Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
• 3-6 years of software development experience.
• Minimum 2 years of experience developing AI, machine learning, or Generative AI solutions.
• Strong programming skills in one or more of the following:
• Python
• Java
• C#
• JavaScript / TypeScript
• Experience designing and developing RESTful APIs and distributed services.
• Experience working with cloud platforms including:
• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)
• Solid understanding of software engineering fundamentals, including:
• Object-oriented design
• Design patterns
• Automated testing
• CI/CD pipelines
• Application security
• Monitoring and observability
• Experience working within Agile software development environments.
• Strong problem-solving, analytical, and communication skills., * Experience working with industry-leading AI platforms and models, including:
• OpenAI
• Azure OpenAI
• Anthropic Claude
• Google Gemini
• Experience developing:
• AI agents
• Agent orchestration platforms
• MCP-based integrations
• Tool-calling frameworks
• Multi-agent workflows
• Experience implementing RAG architectures and enterprise knowledge search solutions.
• Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval systems.
• Experience with prompt engineering, prompt evaluation, and AI benchmarking frameworks.
• Experience with containerization and orchestration technologies, including:
• Docker
• Kubernetes
• Cloud Run
• Experience deploying and operating cloud-native applications.
• Knowledge of Responsible AI, AI governance, and enterprise AI risk management practices.