1168 Senior AI Developer

Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.

• 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer.
• 1.5-2+ years hands-on experience with LLMs and AI agents in production environments.
• 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: building MCP servers on existing databases and systems, integrating external MCP servers, orchestrating multiple MCP services.
• Strong experience with production-grade RAG, memory, and context engineering including embeddings, chunking strategies, hybrid search, reranking, vector databases, short-term and long-term agent memory.
• Practical experience implementing agentic patterns such as ReAct, Planner-Executor, Reflection, Router, Supervisor, Multi-Agent Systems, 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, or cryptocurrency-related products.
• Background in regulated industries with strong compliance, data protection, and AI output auditability.
• Broader AWS or Azure cloud expertise beyond AI services.
• Experience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas, or custom evaluation pipelines.
• Advanced practical expertise with modern agentic AI development tools and rapid prototyping approaches.

• 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 and handle edge cases.
• 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.