Data Integration Engineer GenAI

Role description Role: Data Integration Engineer GenAI

Krakow, Poland(Hybrid, 3 days work from office in a week)

6 Months contract

Experience 5 to 7 Years

Responsibilities

• Design and develop data integration solutions to support Generative AI platforms and applications
• Build agents that source and retrieve data from multiple enterprise systems for GenAI use cases
• Develop scalable data transfer pipelines to enable efficient movement and processing of data
• Design and implement Python based microservices using FastAPI
• Integrate structured and unstructured data sources into AI and analytics platforms
• Build and support Retrieval Augmented Generation RAG solutions and context aware AI services
• Develop data access and retrieval services leveraging vector databases and memory stores
• Work with cloud native services across Google Cloud Platform GCP and Azure
• Design solutions that support data virtualization data governance and enterprise scale AI workloads
• Collaborate with AI engineers platform engineers and data teams to enable GenAI solutions
• Ensure solutions are scalable secure reliable and production ready
• Contribute to evaluation frameworks context engineering and AI model performance improvements

To be successful in this role you should have

• 5 to 7 years of experience in Data Engineering Data Integration Backend Engineering or Software Engineering
• Strong Python development experience
• Handson experience with FastAPI and Microservices Architecture
• Experience building enterprise data integration pipelines
• Strong understanding of API design and backend service development
• Experience with MongoDB and NoSQL databases
• Experience with PostgreSQL and relational databases
• Knowledge of Vector Databases and Vector Search concepts
• Experience with Hadoop based data platforms
• Experience with Starburst or Data Virtualization technologies
• Experience with Google BigQuery
• Handson experience with Google Cloud Platform GCP
• Exposure to Azure Cloud services
• Understanding of Retrieval Augmented Generation RAG architectures
• Knowledge of Context Engineering and AI data retrieval patterns
• Experience integrating AIML solutions with enterprise data sources
• Strong problemsolving data modelling and system integration skills
• Good communication and collaboration skills

Skills Mandatory Skills : Data Engineer, Hadoop, Postgresql, Python, GEN AI, ML, RAG

About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert