Junior AI Data Engineer
Luxoft (a DXC Technology Company) (company site, opens in a new tab)1+ yrsChennaiOn-siteDirect career pageEst. 5–9 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain full-stack Python applications integrated with AI backend services, including frontend frameworks.
- Build, optimize, and maintain AI pipelines focused on Agentic AI use cases for Trading Surveillance, specifically converting code from Q KDB to Pyspark.
- Develop and manage data pipelines, ETL/ELT workflows, vector databases, and implement CI/CD pipelines while monitoring production performance.
Minimum Requirements
- Minimum 1+ year experience in AI/ML solution implementation.
- Minimum 1+ year experience in Pyspark processing high volume data with proficiency in PySpark concepts like lazy evaluation, window functions, and performance tuning.
- Must have Banking Domain experience.
- English language proficiency at C2 level.
Ideal Candidate Profile
- Experienced in building and orchestrating multi-agent AI systems and full-stack AI integration from frontend to backend.
- Skilled in advanced prompt engineering and LLM observability, evaluation, and monitoring (LLMOps).
- Comfortable working in a junior AI data engineering role within high-volume, data-intensive environments like banking.