Lead AI Engineer: Agentic LLM Systems

Intellias; Greater London; On-site; GBP 46,000 - 50,000; Full time

Job summary

Intellias is seeking a hands-on AI/ML engineer in London to build agentic workflows across research reports, transcripts, filings, and news. You will surface confidence, gaps, and provenance while ensuring automated quality checks and robust extraction pipelines.

Responsibilities include designing guardrails, evaluation harnesses, and dashboards for data quality, with close collaboration to platform engineering, data sourcing, and portfolio managers.

Qualifications

• Proven experience building production agentic and LLM systems with multi-agent workflows.
• Hands-on experience engineering document ingestion and extraction pipelines with quality controls.
• Experience building evaluation and guardrail infrastructure for AI systems.
• Strong Python engineering with unattended services, testing, CI, and coding standards.
• Ability to shape vague briefs with business stakeholders and explain results clearly.
• Experience tuning retrieval quality, chunking strategy, and embeddings.
• Structured and time-series data quality handling, including nulls in critical columns.
• ETL pipeline experience and fluency in SQL.
• Previous exposure to investment professionals in fast-paced environments.
• Working knowledge of Snowflake, Linux/UNIX, Git, and Jira.

Responsibilities

• Build agentic workflows that reason over reports, transcripts, filings, and news for PMs.
• Engineer automated quality checks on unstructured content before ingestion.
• Create vendor delivery validation to detect and fix parsing defects.
• Build evaluation harnesses and guardrails for agent output with provenance.
• Ship dashboards showing data quality, confidence, and coverage gaps to engineers and PMs.
• Collaborate with platform, data sourcing, and PM teams to set measurable quality standards.

Skills

Agentic workflows

LLM systems

Python engineering

Retrieval tuning

Data quality

ETL pipelines

SQL

Stakeholder communication

Tools

Snowflake

Git

Jira

Linux

Job description

Intellias is seeking a hands-on AI/ML engineer in London to build agentic workflows across research reports, transcripts, filings, and news. You will surface confidence, gaps, and provenance while ensuring automated quality checks and robust extraction pipelines.

Responsibilities include designing guardrails, evaluation harnesses, and dashboards for data quality, with close collaboration to platform engineering, data sourcing, and portfolio managers.