Remote AI Engineer: Build Agentic Workflows & LLM Tools

Point-out; Italia; Remote; EUR 30,000 - 40,000; Full time

Benefits offered by this job

€30-40k gross per year

10% annual bonus

Fully remote, permanent

Job summary

Point-out is hiring an AI Engineer to design, build, and operate agentic workflows at the core of our platform. You will turn prototypes into production-grade services, with the CTO pairing on tough problems to deliver observable,-monitored agents.

The role is junior to mid-level, remote, and involves hands-on work across LLM reasoning, tool use, retrieval, and classifier training to improve speed, cost and reliability.

Qualifications

• Solid Python engineering with clean, tested code and API design.
• Experience modeling and querying data; verify data quality before modeling.
• Familiar with agent workflows, prompting, tool use, memory, guardrails and LLM failure modes.
• Ability to design evals and metrics; use tracing tools to understand agent behavior.
• Experience deploying services on AWS or other cloud platforms; Docker-based deployment.

Responsibilities

• Turn platform use cases into precise requirements (inputs, outputs, latency, cost).
• Scout and test models/frameworks on real tasks; advise on adoption.
• Prototype multi-step agents with LLM reasoning, tools, retrieval and structured outputs.
• Build eval sets and metrics; measure quality, latency, costs, failures.
• Deploy agents as services on AWS; integrate via clean APIs.
• Instrument agents with tracing/evaluation; monitor data drift before customers.
• Document architecture decisions, prompts, evaluation results and runbooks.
• Train supervised classifiers to replace generators when faster or cheaper.

Skills

Python engineering

Data modeling & SQL

Agent frameworks

Observability & eval

Cloud & deployment

AI-native working

Bilingual communication (Italian & EN)

Tools

LangChain/LangGraph

LlamaIndex

Strands Agents

Docker

AWS

Job description

Point-out is hiring an AI Engineer to design, build, and operate agentic workflows at the core of our platform. You will turn prototypes into production-grade services, with the CTO pairing on tough problems to deliver observable,-monitored agents.

The role is junior to mid-level, remote, and involves hands-on work across LLM reasoning, tool use, retrieval, and classifier training to improve speed, cost and reliability.