
501 - 1000 employees
Founded 1995
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.
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501 - 1000 employees
Founded 1995
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.
• Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal • Build MCP servers on top of existing databases and production systems • Orchestrate multiple internal and external MCP servers under a unified agent framework • Design and implement memory, context management, and RAG architectures for production use • Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release • Work within architectures combining databases, APIs, interfaces, agents, and orchestration applications • Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry • Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products
• 1.5-2+ years of hands-on experience with LLMs and AI agents in production environments • Strong background in Machine Learning, Python development, or Data Science • 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer • Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI) • Proven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents • Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK • Deep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent • Strong experience with production-grade RAG, memory, and context engineering • Experience with embeddings, chunking strategies, hybrid search, reranking, vector databases, and short-term and long-term agent memory • Practical experience implementing agentic patterns such as ReAct, Planner-Executor, Reflection, Router, Supervisor, Multi-Agent Systems, and Human-in-the-Loop • Experience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis • Strong understanding of system architecture involving databases, APIs, agents, and orchestration applications • Hands-on experience with Docker and CI/CD pipelines • Nice-to-have: experience in fintech, trading, investing, brokerage, cryptocurrency-related products, regulated industries, broader AWS or Azure cloud expertise, LangSmith, Langfuse, Ragas, or custom evaluation pipelines
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