Software Engineer

IGT1 is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of world’s leading private equity firms; EQT Group, Hg, and TA Associates. We’re also proud to be a sister company of IFS, Sri Lanka’s largest and most established technology company.

At IGT1, we partner with global businesses to provide them with an operation that maximizes efficiency, spurs growth, allows them to develop and deliver world-class product and services, and create long-term value. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives.

With a team of over 500 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary.

Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives.

About the client: Sitecore

Sitecore delivers a composable digital experience platform that empowers the world’s smartest and largest brands to build lifelong relationships with their customers. A highly decorated industry leader, Sitecore is the leading company bringing together content, commerce, and data into one connected platform that delivers millions of digital experiences every day. Thousands of blue-chip companies including American Express, Porsche, Starbucks, L’Oréal, and Volvo Cars rely on Sitecore to provide more engaging, personalized experiences for their customers.

Job Description

About the role:

We are seeking a Python Backend Engineer to build and maintain AI-powered backend services across the Sitecore platform. You will work with LLM integrations, agentic workflows, RAG pipelines, and contribute to production‑grade generative AI systems that power intelligent digital experiences. You will operate in an AI-driven environment, leveraging copilots and intelligent agents to accelerate development and workflows.

Key Responsibilities:

• Develop and productionize LLM pipelines, including retrieval, orchestration, prompt strategies, and semantic processing.
• Implement and maintain RAG pipelines, embeddings generation, and vector search capabilities.
• Build resilient backend services and APIs supporting AI-driven platform features in a multitenant environment.
• Contribute to evaluation frameworks measuring accuracy, relevance, and trustworthiness of AI outputs.
• Leverage copilots and intelligent agents to automate workflows, code tasks, and operational processes.
• Work with agentic frameworks (e.g., LangChain, LangGraph, AI Foundry, or similar) to design and execute multi-step AI workflows.
• Contribute to backend capabilities that integrate with MCP-based tooling and structured AI action frameworks.
• Ensure system scalability, cloud-native robustness, and adherence to engineering best practices.
  
  

Qualifications

Preferred Skills and Experience:

• 2+ years of professional software engineering experience.
• Strong experience developing backend systems using Python.
• Hands-on experience building generative AI applications using LLMs.
• Experience with RAG, embeddings, vector stores, and semantic retrieval.
• Familiarity with evaluation techniques for LLM outputs.
• Experience with FastAPI, Flask, Pydantic, or related frameworks.
• Experience with Azure, Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with relational and non-relational databases.
• Understanding of agentic systems and orchestration patterns.
• Awareness of working with multitenant AI platforms and isolated tenant workloads.
  
  

Nice to Have:

• Experience with knowledge graphs, ontologies, or taxonomy-driven retrieval.
• Experience with fine‑tuning or optimizing LLMs.
• Awareness of AI safety, responsible AI practices, or safety guardrail implementation.
• Experience building solutions on Azure or AWS.
• Background in contextual help, AI assistants, or automation-focused AI solutions.
  
  

Additional Information

We champion flexibility and hybrid work options to support varying lifestyles and personal needs. At the same time, we value the power of in-person collaboration to build community, spark innovation, and strengthen connections. Our approach ensures you can work in ways that suit you best while still engaging with colleagues to share ideas and grow together

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