#EG Senior AI Data Engineer

NCS; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NCS seeks an autonomous AI Engineer to design and build the AI harness, agent framework, and reusable components for a modern data platform using Iceberg, Trino, and Parquet. You will enable multi-agent collaboration, state management, and end-to-end data engineering capabilities.

Depending on experience, focus spans from task execution to technical leadership, with responsibilities in ingestion, validation, and governance across a scalable data lakehouse.

Qualifications

• Experience with Generative AI, Agentic AI, or LLM-based solutions.
• Proficiency in Python ecosystems (FastAPI, Pydantic, Pandas).
• Experience designing AI Harness or multi-agent frameworks.

Responsibilities

• Design and implement the AI Harness and agent framework.
• Develop specialized agents for data discovery, ingestion, and transformation.
• Lead technical designs and mentor engineers.

Skills

Generative AI

Agentic AI

LangChain

LangGraph

Python

FastAPI

Pydantic

Pandas

Apache Iceberg

Trino

Parquet

Data ingestion

Workflow orchestration

Metadata & lineage

Data governance

REST APIs

SDKs

Observability

Distributed systems

Microservices

DuckDB

dbt

Tools

Python

FastAPI

Pydantic

Pandas

LangChain

LangGraph

DuckDB

dbt

Apache Iceberg

Trino

Parquet

Job description

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 15,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

Job Description

Role Summary
You are an autonomous AI Engineer, responsible for creating the harness for designing and building the AI harness, agent framework, and reusable engineering components required to operate a modern data platform based on Apache Iceberg, Trino, and Parquet.

Your primary responsibility is not only to build data pipelines, but also to establish the agentic execution framework (AI Harness) that enables multiple specialized agents to collaborate, execute tasks, maintain state, orchestrate workflows, and deliver end-to-end data engineering capabilities.

Depending on your level of experience, your focus in the team will be on either task execution, independent delivery, or technical leadership.

Key Responsibilities
AI Harness Development

Design and implement the foundational agent framework that provides:

• Agent orchestration and coordination
• Workflow execution and state management
• Memory and context handling
• Tool and function calling
• Agent-to-agent communication
• Logging and audit trails
• Error handling and recovery
• Security and access controls
• Observability and monitoring

The harness must support autonomous and multi-agent execution patterns.

Specialized Agents Creation

The agents will need to perform the following:

• Discover Iceberg catalogs and schemas
• Generate metadata and lineage
• Ingest data from databases, APIs, files, and streams
• Register and maintain Iceberg tables
• Generate Trino SQL
• Build transformation workflows
• Create curated and business-ready datasets
• Validate schemas and data integrity
• Detect anomalies
• Analyze Trino workloads
• Recommend partitioning strategies
• Optimize Iceberg tables and Parquet files
• Classify sensitive information
• Manage metadata and lineage
• Apply retention and compliance policies
• Monitor pipelines and agent activities
• Detect failures and bottlenecks
• Generate alerts and operational insights
• Iceberg table definitions and schemas
• Trino SQL scripts and views
• Metadata and lineage documentation
• Monitoring and observability configurations
• Technical documentation and runbooks

Qualifications

Skills and Experience

The candidate should demonstrate expertise in:

• Experience with Generative AI, Agentic AI, or LLM-based solutions.
• Proficiency in Python, including FastAPI, Pydantic and Pandas.
• Experience designing and implementing AI Harness or multi-agent frameworks.
• Hands-on experience with LangChain & LangGraph.
• Experience with Apache Iceberg, Trino, and Parquet-based lakehouse architectures.
• Experience building data ingestion, transformation, and orchestration pipelines.
• Strong knowledge of metadata management, data lineage, and data governance practices.
• Experience developing REST APIs, SDKs, and reusable engineering frameworks.
• Experience with observability, monitoring, tracing, and operational support practices.
• Strong understanding of distributed systems, event-driven architectures, and microservices patterns.
• Proven ability to design, develop, and operationalize enterprise-grade AI agents for data discovery, ingestion, transformation, optimization, governance, and observability.
• Familiar with modern data engineering technologies, including DuckDB, dbt, and related engineering tools for data transformation, modelling, and pipeline development.
• Senior engineers will be expected to have demonstrated evidence of leading technical designs, guiding junior engineering team members, working independently with clients and delivery teams, and translating AI/data requirements into scalable, secure, and deployable solutions.

Additional Information

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.