Generative AI Solutions Engineer

Azienda Anonima; Italia; In loco; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Azienda Anonima is seeking an Applied AI / Solutions Engineer to design and deploy Generative AI solutions for enterprise and public sector clients. You will translate business challenges into scalable architectures, build PoCs and MVPs, and support AI deployments across environments.

You will work with Python and frameworks like LangChain, LlamaIndex, and Haystack, design RAG pipelines, integrate with APIs and databases, and evaluate models for cost, performance, and compliance.

Competenze

• Experience designing Generative AI solutions and end-to-end RAG systems.
• Strong Python and AI framework knowledge; familiarity with LangChain, LlamaIndex, Haystack.
• Experience with AI agents, prompts, and model adaptation; API integrations.

Mansioni

• Analyze customer requirements and design end-to-end AI solution architectures.
• Develop PoCs and MVPs to validate AI solutions and business opportunities.
• Design and optimize RAG pipelines, prompt engineering strategies, and AI Agent workflows.
• Integrate AI solutions with enterprise systems, databases, APIs, and existing infrastructures.
• Evaluate AI models for performance, cost, scalability, and compliance.
• Support AI projects from experimentation to production deployment.
• Create technical documentation and transfer knowledge to customers and teams.
• Contribute to security, reliability, and scalability improvements of AI solutions.

Conoscenze

Python

LLMs

Prompt engineering

AI Agents

APIs

Cloud platforms

Docker

Git

Strumenti

LangChain

LlamaIndex

Haystack

LangGraph

AutoGen

Pinecone

Weaviate

Chroma

Qdrant

PGVector

PostgreSQL

MongoDB

Redis

Descrizione del lavoro

Azienda Anonima is seeking an Applied AI / Solutions Engineer to design and deploy Generative AI solutions for enterprise and public sector clients. You will translate business challenges into scalable architectures, build PoCs and MVPs, and support AI deployments across environments.

You will work with Python and frameworks like LangChain, LlamaIndex, and Haystack, design RAG pipelines, integrate with APIs and databases, and evaluate models for cost, performance, and compliance.