Software Engineer (AI OR LLM)

About Us:

Founded on the grounds of innovation – iXceed Solutions , is an ISO certified, leader in Talent and Digital recruitment solutions, serving fortune 100 companies globally. We have many global accolades to our credit – UK Enterprise Awards - HR Tech Startup of the year- Europe - 2022, UK IT Awards - Leading Talent & Digital Solutions of the Year 2022, Titan Awards- Entrepreneur of the Year -2023, Asia fastest growing HR tech companies in 2023, Iconic Brand of the Year in Staffing & Recruitment 2023, Top 4 The Most prominent Talent solutions firm to work with in 2024, Hottest HR Tech Startup by Business World, The Greatest Brands & Leaders Asia & GCC -2020 -2021 by AsiaOne and many more.

Website : www.ixceed-solutions.co.uk

Linkedin URL : https://www.linkedin.com/company/ixceed-solutions

Role: Software Engineer

Location: Poland (Remote)

Contract: B2B

Job description:

• 5-10 years of work experience with a bachelor's degree or an advanced degree in CS / IT / Engg / or a related field

• Strong programming skills in one or more languages such as Python, Java, or Scala, with good understanding of software design principles, testing, and version control

• 3+ Years Experience with building backend services and APIs, including integration with distributed data systems and cloud-native architectures

• 3+ Strong experience in writing efficient, maintainable code for large-scale systems and data-driven applications

• 5+ Familiarity with databases and data warehousing solutions, both relational (like MySQL, Oracle) and non-relational (like MongoDB, Cassandra).

• 1+ years of hands-on experience with GenAI technologies — including LLMs, prompt engineering, embeddings, fine-tuning, or building RAG (Retrieval-Augmented Generation) pipelines

• Experience in designing, developing, and deploying scalable microservices and RESTful APIs in production environments

• Familiarity with observability tools, logging frameworks, and monitoring practices to ensure high system availability

• Strong experience with containerization and orchestration tools such as Docker and Kubernetes

• Deep understanding of distributed systems, service-to-service communication, and API gateways

• Familiarity with event-driven architectures and message brokers like Kafka, Pub/Sub, or Flink