Software Engineer – Data Science, AI

Euromonitor International

. Build and maintain backend services, APIs and agentic components of the AI platform .

Posted 10/13/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining backend services and APIs for AI platforms, with strong proficiency in Python, SQL, and modern Generative AI technologies. Capable of implementing data ingestion, retrieval features, and evaluation processes while ensuring clean coding practices and effective documentation.

Highest-signal resume keywords

Python ProgrammingAPI DevelopmentLLM API ExperienceData StructuresCloud Fundamentals

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLData StructuresAPI DevelopmentMachine Learning ConceptsOrchestration FrameworksContainersKubernetesVector SearchCI/CD Tooling

Soft Skills

Feedback ReceptionQuestioning SkillsMentorship

Tools & Technologies

LangGraphLangChainAzureAWSGCPElasticsearchGitHub ActionsAzure DevOpsRagasDeepEval

Industry Keywords

Generative AIInformation RetrievalNLPRecommender SystemsObservability Tooling

Tech Stack

Tools & technologies

AWSAzureCloudElasticSearchGoogle Cloud PlatformJavaKubernetesOpen SourcePythonSQLTypeScriptGo.NET

About the role

Key responsibilities & impact

Build and maintain backend services, APIs and agentic components of the AI platform
Implement RAG and retrieval features, including data ingestion, chunking and indexing pipelines, and search integration
Contribute to the agent framework, skills and tool registry, and reference implementations
Implement logging, tracing, cost and token telemetry, and automated tests
Support evaluation work by preparing golden datasets, running LLM-as-judge pipelines and regression suites, and reporting quality results
Assist with experiments on ranking, retrieval and prompt changes
Participate in design reviews, pairing and mentorship
Document built components and help consuming teams use them
Build reusable AI platform components adopted by product teams for Passport and other customer offerings

Requirements

What you’ll need

3–6 years of software engineering experience, or strong internship and project evidence
Solid fundamentals in data structures, API development and testing
Strong Python and working SQL
Clean, reviewable coding habits
Hands-on experience with LLM APIs and modern Generative AI building blocks, including prompting and RAG basics
Experience with at least one orchestration framework such as LangGraph, LangChain or LlamaIndex; LangGraph and LangChain preferred
Familiarity with cloud fundamentals on Azure, AWS or GCP; Azure preferred
Experience with containers
Foundations in Machine Learning concepts, including embeddings, evaluation metrics, and basics of ranking or NLP
Ability to ask good questions, take feedback well, and explain what was built and why
Exposure to a typed backend language such as C#, Java, Go or TypeScript; C# and .NET preferred
Vector or hybrid search exposure such as Elasticsearch, pgvector or Azure AI Search
Kubernetes basics and CI/CD tooling such as GitHub Actions or Azure DevOps
Evaluation or observability tooling for LLM workloads such as Ragas, DeepEval, promptfoo, LangSmith or Langfuse
Open source contributions, hackathon results or published personal projects are desirable
Coursework or projects in information retrieval, recommender systems or NLP are desirable

Benefits

Comp & perks

Flexible hours
Regular social events, including after-work meetups, summer and Christmas parties
Two volunteering days annually
Competitive salaries
Private health insurance
Generous holiday allowances
Extensive training and development
Promotion opportunities from within and across departments
Rewards for talent
Multinational workforce and communication across 16 global offices