10 publicaciones de empleo destacadas de applied ai engineer en en remoto (¡Están contratando!)

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- C++
- Grado
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- Jornada completa
- Teletrabajo
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- Inglés
- Oficina
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- Teletrabajo
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Senior Product Designer (Design System)
OLX —En remoto
- Jornada completa
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Solicitud rápida
13d

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Applied AI Engineer

PST.AG
En remoto

Solicitud rápida

Detalles del empleo

Jornada completa
De 1 € a 2 € al año

Cualificaciones

Derecho
Informática
React
Slack
Máster
Grado
REST
UI
JSON
Inteligencia artificial
Python
Negociación

Descripción completa del empleo

About the Role:

We are seeking a forward-thinking Agentic AI Engineer to design, build, and orchestrate autonomous AI agents capable of reasoning, planning, and executing complex workflows. Unlike traditional LLM-based chatbots, our agents interact with dynamic environments, use tools, collaborate with other agents, and operate with minimal human intervention.

Key Responsibilities:

Agent Architecture & Development:

Design and implement autonomous agent systems using frameworks using Hermes Agent.
Build multi-agent collaboration patterns (e.g., orchestrator-workers, debate, hierarchical swarms).
Implement agentic memory systems (short-term, long-term, and episodic memory) using vector databases and semantic caching.

Reasoning & Planning:

Integrate advanced reasoning techniques: ReAct, Chain-of-Thought (CoT), Tree-of-Thoughts (ToT), and Plan-and-Solve.
Develop agents capable of dynamic planning, error recovery, and replanning based on environmental feedback.
Implement tool use (function calling) and API grounding for actions like database queries, API calls, RAG retrieval, and UI automation.

Production & Evaluation:

Build robust evaluation frameworks (agentic eval) to test for task completion, efficiency, and safety—not just lexical similarity.
Instrument agents with tracing, observability, and logging (e.g., LangSmith, Arize, Weights & Biases).
Optimize for latency, cost (token usage), and reliability in production.

Integration & Tooling:

Connect agents to internal and external systems: CRMs, databases, Slack, browsers, REST APIs, and code interpreters.
Develop custom tools and sandboxed environments for agents to execute code or shell commands safely.

Required Qualifications:

Technical Skills:

Programming: Expert in Python
Strong understanding of prompt engineering, few-shot learning, and structured output generation (JSON mode, grammars).
Reasoning Patterns: Proven experience implementing agentic patterns (ReAct, Reflexion, Toolformer) in production or complex prototypes.
Memory & Retrieval: Experience with vector databases (Pinecone, Weaviate, Qdrant) and RAG optimization (hybrid search, reranking).
Orchestration: Familiarity with workflow engines (Temporal, Prefect, Airflow) for human-in-the-loop and durable execution.
Observability: Experience monitoring LLM applications (prompt traces, token usage, drift).
Model Context Protocol: Built agents that use MCP for multi-step research, code analysis, or data engineering tasks.
Agentic Framework : Practical experience with Hermes Agent

Education & Experience:

Bachelor’s degree in Computer Science, Software Engineering, AI, or related discipline
3 years in software engineering / ML engineering.
Experience building production-grade agentic systems (not just demos or chatbots).
Strong understanding of LLM limitations: hallucinations, jailbreaks, prompt injection, and failure modes.
Good understanding of MCP discovery patterns and context negotiation.
Strong knowledge of context management in LLM applications: prompt caching, sliding window, semantic retrieval, MCP resource lifecycle.

Job Type: Full-time

Pay: 1.00€ - 2.00€ per year

Application Question(s):

The role requires a production experience with MCP and sufficient experience using Hermes Agent framework.

Briefly describe your practical experience on both.

Work Location: Remote

Solicitud rápida

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