LLM Engineer (Cloud Based AI Solutions) IRC291168
Szczecin, Polska
Key offer highlights
DevOps / Cloud: AWS, Azure, Docker, Kubernetes
Full-time
Remote work - no commuting
Description
The LLM Engineer will join a team focused on building cloud based AI solutions that leverage modern language models and advanced orchestration patterns. The role involves creating scalable, production ready systems that transform raw or distributed data into meaningful outputs and automated reasoning. The engineer will work closely with project teams, support client engagements, and help shape the department’s AI solution portfolio. #LI-TK1
Skills
AWS Bedrock
Azure OpenAI
Data Integrator
Generative AI
Generative AI - LLMs
Generative AI - Tools
Generative AI: Prompt Engineering
MCP
Retrieval-Augmented Generation (RAG)
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
What we offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.
Experience
5-10 years
Requirements
Strong experience working with large language models, including fine tuning, prompt engineering, and integrating LLMs into production systems.
Hands on familiarity with cloud AI platforms such as AWS, Azure, or GCP, including their LLM related services, orchestration tools, and deployment environments.
Understanding of retrieval augmented generation (RAG), embedding databases, vector search, and model driven reasoning pipelines.
Ability to design end to end AI solutions, connecting cloud components with data sources, APIs, and downstream applications.
Experience implementing model context protocols (MCP) or similar integration patterns for connecting LLMs with external tools and systems.
Comfortable collaborating with cross functional teams, contributing to solution architecture, and supporting offering/presales activities.
Job responsibilities
Build and deploy LLM based applications using cloud native services (e.g., AWS Bedrock, Azure OpenAI, managed vector databases, serverless components).
Design and implement RAG pipelines, including embedding generation, vector storage, retrieval logic, and LLM orchestration.
Integrate LLMs with enterprise data sources, APIs, and external tools using MCP or equivalent frameworks.
Develop prompt templates, reasoning flows, and model interaction logic to ensure reliable, structured outputs.
Monitor and evaluate LLM performance, cost efficiency, latency, and scalability within cloud environments.
Collaborate with internal teams to design client solutions and contribute technical expertise to proposals and offering processes.
Keywords / Skills