Intetics

1168 Senior AI Developer

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SeniorZdalnieFull-time

#448616·Dodano 26 dni temu·3

Źródło: Intetics

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Tech Stack / Keywords

LLMAmazon BedrockMicrosoft FoundryLangGraph LangChainLlamaIndexSemantic KernelAutoGenStrands AgentsOpenAI Agents SDK

Firma i stanowisko

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.

Wymagania

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.

Obowiązki

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.

Intetics

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