Software Engineer Python (IGT1)

Colombo - Sri Lanka

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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 productiongrade 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 finetuning 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. #LI-Hybrid #LI-DNP

Remote Work :

Employment Type :

Full-time

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 productiongrade generative AI systems that power intelligent digital experienc...

About the role:

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 finetuning 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 :

Remote Work :

Employment Type :

Full-time

Key Skills

APIs
Docker
Jenkins
REST
Python
AWS
NoSQL
MySQL
JavaScript
Postgresql
Django
GIT

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About Company

IFS

We are growing! At IFS we are constantly growing to deliver award-winning solutions to hundreds of partners and thousands of customers worldwide! We help companies who want to be their best when it matters most at their #momentofservice. Visit https://ifs.link/IzM0px to find out mo ... View more

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