ELSA, Corp · 2 days ago
Senior Data Platform Engineer, Agentic AI
ELSA is a global leader in AI-powered English communication training, dedicated to transforming how people learn and speak English with confidence. The Senior Data Platform Engineer will design and implement the platform foundation for AI agents operating on real-world data and services at scale, collaborating closely with Data Science, Product, and Engineering teams to ensure platform reliability and performance.
Artificial Intelligence (AI)E-LearningEdTechLanguage LearningMobile Apps
Responsibilities
Design and build scalable, reliable data pipelines and feature stores that power AI/ML & agent workflows
Productionize Agentic AI systems (tool-using LLM agents, workflow orchestration, retrieval, context management, guardrails)
Implement data-centric AI engineering best-practices: lineage, governance, testing, monitoring
Build server-side APIs, microservices & orchestration layers supporting AI agent workflows
Optimize data processing, storage, caching & latency across structured and unstructured data
Deploy and operate workloads across cloud environments (AWS/GCP/Azure)
Partner with ML engineers to enable experimentation, CICD, and observability for AI systems
Own platform reliability: performance tuning, alerting, SLAs
Establish security & compliance standards for AI-data interactions
Act as a senior technical contributor & mentor within the team
Qualification
Required
5+ years in Data/Platform/Backend Engineering
Strong foundations in data engineering concepts — batch, streaming, schema design, ETL/ELT, orchestration
Hands-on experience with Python or Node.js (server-side scripting)
Expertise with SQL + modern data warehouses/lakes
Experience building & maintaining production systems at scale
Strong command of cloud platforms & containerization (Docker, Kubernetes etc.)
Preferred
Working knowledge of LLM orchestration frameworks (LangChain, LlamaIndex, DSPy etc.)
RAG pipelines & vector databases
Agent-tool execution & sandboxing
Experience deploying AI services behind APIs / microservices
Understanding of model & data governance, cost management, safety & guardrails
Experience with Airflow / Prefect / Dagster
Spark / Flink / distributed compute
Snowflake / BigQuery / Redshift
Feature stores / ML pipelines
Data observability platforms
Experimentation platforms (AB testing)
Benefits
Competitive compensation & benefits
Comprehensive employee well-being benefits.
Free ELSA Premium courses to polish your language skills
Company
ELSA, Corp
Together with a very talented team of speech recognition scientists and linguistic experts, we created ELSA (English Language Speech Assistant), one of the smartest A.I.
Funding
Current Stage
Growth StageTotal Funding
$48.25MKey Investors
UOB VentureGradientMonk’s Hill Ventures
2023-09-12Series C· $23M
2021-01-11Series B· $15M
2019-02-26Series A· $7M
Recent News
2025-11-05
2025-09-29
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