AI Solutions Engineer

Itransition -
Unión, Murcia provincia

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Detalles del empleo

Beneficios

Abono gimnasio

Cualificaciones

Derecho
Inglés
Máster
AWS
APIs
S3
Inteligencia artificial
Python

Descripción completa del empleo

We are looking for an experienced AI Engineer to help our client design and build proof-of-concept and production-ready AI solutions using AWS AI services and modern LLM frameworks. In this role, you will work on agent-based AI systems, scalable LLM applications, and intelligent automation workflows, collaborating closely with engineering and business teams to deliver practical AI-driven solutions.

office remoteEuropean UnionGeorgiaKazakhstanUzbekistan

Requirements

Strong experience in Python development
Experience building LLM or agent-based applications using LangChain, LangGraph, or similar frameworks
Hands-on experience with AWS Bedrock, including models, Agents, and tool/function calling
Experience with AWS SageMaker and Bedrock Knowledge Bases
Understanding of LLM limitations and practical challenges, including hallucinations, context management, and cost/latency trade-offs
Experience designing end-to-end AI systems, including agent workflows and scalable AI services
At least one real-world project involving AI agents deployed to production with measurable business impact or automation outcomes
Experience creating custom tools/functions for AI agents
Familiarity with evaluation, testing, and monitoring of LLM systems
Strong communication and problem-solving skills
English skills sufficient for technical communication and participation in project discussions

Nice to have

Hands-on experience with UiPath platform, including classic RPA and Agentic Automation
Experience building and optimizing RAG pipelines (chunking, embeddings, retrieval tuning)
Experience integrating AI agents with APIs, databases, and enterprise systems
Familiarity with OpenSearch, vector databases, or semantic search solutions
Experience with AWS Lambda, API Gateway, and S3
Experience deploying and supporting AI solutions in production environments
Familiarity with AI governance, observability, or GenAI security practices

Responsibilities

Design and develop LLM and agent-based applications using modern AI frameworks and AWS AI services
Build scalable AI workflows and agent orchestration solutions using LangChain, LangGraph, or similar technologies
Develop and maintain integrations between AI agents, APIs, databases, and external systems
Work with AWS Bedrock services, including models, Agents, and tool/function calling capabilities
Support implementation of RAG-based solutions, including embeddings, chunking, and retrieval optimization
Create custom tools/functions for AI agents and automation workflows
Contribute to architecture decisions for scalable and production-ready AI systems
Support evaluation, testing, monitoring, and continuous improvement of LLM-based applications
Collaborate with cross-functional teams to prototype and deliver AI-powered automation solutions

We offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota;
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Any questions?

Mariya

[email protected]

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