Software Developer - Mid-Level

About the role

We are seeking a Mid-Level AI Engineer to design, develop, and deploy AI-powered applications and services. This role will work closely with software engineers, product managers, architects, and data teams to build scalable AI solutions using modern machine learning, generative AI, agent frameworks, and enterprise software engineering practices. The ideal candidate combines strong software development skills with hands-on experience building, integrating, and operating AI solutions in production environments.

Responsibilities

• Design, develop, test, and deploy AI-enabled applications and services.
• Build and integrate Generative AI solutions using large language models (LLMs).
• Develop AI agents, workflows, prompts, tools, and orchestration frameworks.
• Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions.
• Build APIs, microservices, and backend services supporting AI workloads.
• Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency.
• Develop automated testing, monitoring, and observability for AI applications.
• Collaborate with product owners and business stakeholders to translate requirements into technical solutions.
• Implement responsible AI, security, privacy, and governance controls within AI solutions.
• Contribute to architectural decisions, coding standards, and engineering best practices.
• Support AI applications in production and participate in troubleshooting and incident resolution.

Qualifications

• agent frameworks
• AI agents
• Agile development environments
• AWS
• API Design
• AI
• AI solutions
• Automated Testing
• C#
• Anthropic Claude
• Cloud & Infrastructure
• Strong programming skills
• containerization and orchestration
• CI/CD
• Docker
• enterprise software
• Event-Driven Architecture
• generative AI
• Generative AI applications
• Retrieval-Augmented Generation (RAG)
• Git
• Gemini
• Identity and Access Management
• Computer Science
• Java
• JavaScript
• Kubernetes
• LLM
• Large Language Models
• LLMs
• machine learning
• Microservices
• Azure
• Model Evaluation
• Monitoring and Observability
• Multi-agent
• Object-Oriented Design
• OpenAI
• prompt engineering
• Python
• REST APIs
• RAG
• Vector Search
• AI-powered applications
• Design patterns
• software development skills
• Software Engineering