Satellit - AI Software Engineer Service

Satellit is seeking a software engineer to join a development group building AI-first applications. The role blends solid software engineering practice with hands-on experience creating systems that use large language models, retrieval-augmented generation, conversational assistants and agent-driven workflows. The appointed engineer will architect, build, validate and iterate on AI-enabled software so it operates securely, stays maintainable, and delivers dependable value in a production business setting. Who are you? What will you do? • Architect and build AI-driven applications that combine large language models, retrieval-augmented generation, agent-style workflows, backend services, APIs and document retrieval pipelines. • Implement and sustain robust orchestration for LLM integrations, including automated tests, centralized logging, CI/CD pipelines, and runtime monitoring to ensure observability. • Establish safe, practical patterns for tooling, human approval gates, and controlled agent behavior; advise on model and framework choices with attention to accuracy, cost, latency, maintainability and security. • Diagnose and resolve common AI system problems such as model hallucinations, poor retrieval relevance, excessive response times, ineffective cost profiles and unstable outputs. • Work closely with software engineers and product or business stakeholders to embed AI engineering best practices and help shape the technical roadmap. Technologies (mandatory) • MS Teams • advanced llm-based ai generation • RAG Pipeline • Microsoft 365 Agents SDK • SAFe Agile • Logging • Langgraph • Langchain • AI • Semantic Kernel • Security • Microsoft Foundry • Azure Cloud Platform • Python • C# • product owner • .NET / C# • Microsoft Agent Framework • Innovation • Collaboration • Azure Cloud • Vector Database Or Enterprise Search Platform • Analytical decision-making for AI versus deterministic solutions • Cloud-native application development • AI application evaluation methods including test datasets, quality metrics, regression testing, and user feedback • Technical communication and trade-off analysis • Collaboration and stakeholder management • Service design with testing, logging, CI/CD, and deployment practices • Security-conscious mindset when working with internal or sensitive data Preferred Qualifications: • At least five years of professional experience as a full‑stack developer.