(9300) Software Engineer
Core
Design, develop, and implement a secure, scalable agentic platform and AI integration frameworks for a proprietary Data Lake tool using Python and Kubernetes.
Role type
Senior IC software engineer (AI integration & agentic platforms)
Builds
Agentic platform, MCP servers, reusable AI skills, enterprise AI guardrails
Domain
Applied AI, Data Engineering, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python backend development, Kubernetes orchestration, LLM API integration, prompt engineering, function-calling/tool-use, RAG, enterprise API design, microservices architecture, CI/CD pipelines, Linux command line (via careerplan.io/jobs/D8-00F-CF-E61-9300-software-engineer-at-iamus-consulting)
Preferred skills
Java interoperability, Python AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), Vector databases, AI observability, NiFi, Kafka, cloud infrastructure (AWS, Azure), SQL/NoSQL databases, Big Data platforms
Technologies
Python, Kubernetes, Docker, Git, OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, AutoGen, Postgres, MySQL, AWS, Azure
Responsibilities
Design and develop Python-based components for the core agentic platform; Deploy, manage, and scale applications within Kubernetes environments; Build Model Context Protocol (MCP) servers and reusable AI skills; Collaborate with cross-functional teams to expose Java-based APIs to AI agents; Implement strict enterprise AI guardrails for data privacy and security; Maintain automated testing pipelines for non-deterministic AI outputs.
Seniority
Senior, hands-on IC
