Software Engineer (AI/Agentic AI Engineer)

5 8 years of professional software development experience. Strong programming skills in Python and/or Java, SQL. Experience building scalable, maintainable, and production-grade applications. Experience supporting enterprise data platforms and cloud-based data solutions in production environments. Strong experience working with large data volumes, data processing, and SQL/query optimization. Strong understanding of: REST APIs Microservices Event-driven architecture Databases Git-based development Automated testing CI/CD pipelines Containerization technologies such as Kubernetes/OpenShift Strong knowledge of software design principles and architectural patterns. Strong understanding of distributed and cloud-based data technologies.

Generative AI & Large Language Models Hands-on experience building applications using Generative AI and LLM technologies. Experience with prompt engineering and structured LLM interactions. Knowledge of: Retrieval Augmented Generation (RAG) Embeddings Vector search and vector databases Context management and grounding techniques Experience integrating LLMs through APIs and SDKs. Experience with at least one cloud AI platform such as: AWS Bedrock Snowflake Cortex

Agentic AI Development Hands-on experience designing and implementing AI agents and agentic workflows. Strong understanding of: Planning and task decomposition Tool and function calling Multi-agent systems Memory and context management Human-in-the-loop workflows Agent orchestration Reflection and validation patterns Error handling and recovery strategies Experience with agent orchestration technologies. Experience building agents that integrate with enterprise applications, APIs, databases, and developer tools.

AI-Assisted Development Minimum 2 years of practical experience using AI-powered development assistants. Strong hands-on experience with Kiro and Claude for software development. Demonstrated ability to effectively use AI assistants for: Requirements analysis Specification generation Solution architecture Code generation Refactoring Test generation Debugging Documentation Code reviews Developer productivity automation Proven ability to validate and enhance AI-generated code rather than relying solely on generated outputs.