Software Engineer – AI Systems Integration

Lead Software Engineer with 12+ years of experience designing and delivering scalable software architectures and newly AI-enhanced applications in on-premises and Azure cloud environments. Skilled in developing Microservice-based systems, REST APIs, enterprise backends (Python, Java, Spring Boot, Postgres, Kafka, Redis) and building modern SPAs (JavaScript, TypeScript, Angular, React) with AI-assisted tools such as GitHub Copilot, ClaudeCode, and Cursor AI. I have practical experience in integrating AI capabilities, including prompt engineering, LLM evaluation, custom AI agents (Pydantic, MCP, RAG / low-code frameworks), and vector databases (OpenSearch, ElasticSearch, Jina). Proficient in Docker/Kubernetes containerization, CI/CD automation, monitoring/observability and application security. Over the years, I have successfully worked on and coordinated projects in cross-functional teams, organized regular agile customer workshops to capture requirements and feedback, resulting in the delivery of functional, scalable, and reliable products.
 

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TECHNICAL SKILLS

• AI, Architecture & Design: Design, develop, and maintain scalable microservice architectures, REST API services and AI-enhanced applications from concept to production; integrate AI capabilities into large-scale software ecosystems (using MCP and A2A protocols, OpenAI API calls).
• Backend & API Services: Develop enterprise backends using Java EE, Spring Boot, and Python; work with databases (MySQL, PostgreSQL, NoSQL); integrate messaging queues (Kafka, RabbitMQ) and caching layers (Memcached, Redis); ensure high throughput and reliability.
• Frontend SPAs & AI UIs: Build modern SPAs (JavaScript, TypeScript, Angular, React) enhanced by GitHub Copilot, ChatGPT, and Cursor AI to accelerate UI development.
• RAG & AI Agent Development: Build RAG-based applications and custom LLM agents with Python (OpenAI API, PydanticAI, FastAPI) and tools like n8n.io and chatbase.co.

• Prompt Engineering & LLM Selection: Craft effective prompts and select optimal LLMs (Gemini, GPT-4, Claude, Llama3, Mistral) for task-specific solutions, applying in-context and few-shot learning techniques.
• Hands-On AI Development: Develop solutions using modern AI frameworks (LangChain, LlamaIndex, Transformers) and agentic coding tools (Copilot, Cursor, Claude Code).
• Vector Databases: Design and implement high-performance retrieval, search, and summarization pipelines using OpenSearch, ElasticSearch, and Jina.
• Cloud & Containerization: Design and migrate solutions to Azure Cloud; implement Kubernetes and Docker container clusters for AI and enterprise workloads; manage CI/CD pipelines with Git, Azure DevOps, and GitHub Actions.
• Security: Implement API gateways, token authentication, and secure data processing in both AI and traditional web applications.

• Observability & Monitoring: Implement proactive APM and observability solutions (Dynatrace, OpenTelemetry, Grafana); integrate centralized logging, alerting, and automated testing to drive performance tuning.

• Client Collaboration & Delivery: Lead client collaboration through workshops, reviews, and ongoing communication to gather requirements, design viable solutions and MVPs, and deliver scalable applications while ensuring architectural improvements, process optimization, and industry compliance.

• Documentation & Management: Create and maintain clear developer documentation in Confluence and internal tools; manage project workflows in Notion to support efficient team collaboration.

• Agile Development: Drive Agile development with TDD, code reviews, and pair programming to ensure high-quality, maintainable codebases.