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Роль четко сфокусирована на платформе для AI-агентов, с современным стеком и ответственностью за отдельные компоненты; основные нюансы - дежурства и широкий набор узкоспециализированных требований.
?Широкий стек требований
Дежурства и RCA
Современный AI-стек
Ответственность за компонент
Развитые льготы
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer Senior (AI/Python): Building and maintaining the SDKs, agent templates, memory and context services, registry integrations, and FastAPI entry layers used to ship LLM-powered agents with an accent on AWS, RAG, agent frameworks, and MCP/A2A protocols. Focus on designing reliable agent infrastructure, integrating vector knowledge services, writing contract and integration tests, and supporting production agent teams.
Location: Brazil; remote
Company
hirify.global helps large enterprises turn AI into business impact through AI deployment, AI-native execution, application modernization, data and AI, martech, and business strategy. The company has 8,000 employees across more than 25 countries.
What you will do
Build and maintain the Python SDK, framework adapters, agent and MCP templates, memory and context services, agent registry integration, and FastAPI entry layer.
Develop SDK features and integrations with Strands, Claude Agent SDK, LangGraph, memory services, skills, prompt management, and evaluation hooks.
Build agent and MCP server templates for AgentCore Runtime and ECS Fargate over HTTP and A2A.
Integrate AWS Agent Registry workflows and support RAG and knowledge services using Bedrock Knowledge Bases, OpenSearch vector, and ingestion pipelines.
Write contract and integration tests, maintain the release parity gate, and create internal documentation and samples.
Help use-case teams onboard and debug agents, participate in on-call or office hours, and contribute to RCAs.
Requirements
Advanced English proficiency at C1 or above, with autonomy to communicate directly with international stakeholders.
Extensive software engineering experience with strong Python, FastAPI or similar frameworks, asynchronous programming, packaging, and testing.
At least 1 year building LLM-powered applications or agents that reached real users in a pilot or production environment.
Experience with tool calling, prompt design, and handling model failures.
Familiarity with at least one agent framework: Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, CrewAI, or LlamaIndex.
AWS experience with Lambda, ECS/Fargate, IAM, S3, DynamoDB, and Bedrock or SageMaker.
Experience with RAG, including embeddings, vector stores, chunking, and retrieval tuning.
Comfort with CI/CD, Docker containers, and infrastructure as code; Terraform is preferred.
Experience with or knowledge of Bedrock AgentCore, MCP server development, A2A, Redis/ElastiCache, OpenSearch, Langfuse or similar observability tools, prompt management, and evaluation tools.
Experience writing internal developer documentation and samples such as notebooks and quick starts.
Nice to have
AWS certifications and recent study or project history in agent technology may substitute for multiple years of hands-on experience.
Culture & Benefits
Health and dental insurance, life insurance, meal and food allowance, and childcare assistance.
Extended paternity leave and pregnancy and responsible parenting support.
Profit sharing and results participation.
Gym, wellness, physical and mental well-being partnerships and platforms.
Continuous learning through CI&T University, online learning partnerships, language learning, and a discount club.
Inclusion specialists, affinity groups, and support for disability assessment and accommodations during selection.
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