Senior AI Engineer

Omnis Partners; Greater London; Hybrid; GBP 90,000 - 120,000; Part time

Job summary

Omnis Partners is seeking a Senior AI Engineer to join a leading financial services client, building a new enterprise AI capability from the ground up. You will develop production-grade agentic AI and RAG systems capable of reasoning across reports, transcripts, filings and enterprise data with strong provenance.

The role focuses on reliability, traceability, and measurable AI outputs, delivering Python services with testing, CI/CD and monitoring while collaborating with engineering and business

Qualifications

• Experience building and deploying LLM, RAG or agentic AI systems into production.
• Experience with frameworks such as LangGraph, LangChain or LlamaIndex.
• Strong understanding of RAG, embeddings, retrieval and vector databases.
• Experience with LLM evaluation, observability, guardrails or AI quality.
• Strong software engineering fundamentals including testing and CI/CD.
• Comfortable working from ambiguous requirements and building solutions from scratch.
• Consultancy and financial services experience is strongly preferred.

Responsibilities

• Build production agentic AI and RAG workflows.
• Develop robust document ingestion, parsing and extraction pipelines.
• Build LLM evaluation frameworks and guardrails covering groundedness, factual accuracy, relevance and confidence.
• Implement citation and provenance, tracing outputs back to specific source documents and retrieved content.
• Improve retrieval quality through chunking, embeddings and vector search.
• Build automated quality controls around missing, duplicated, truncated or incorrectly extracted content.
• Develop production-grade Python services and pipelines with appropriate testing, CI/CD and monitoring.
• Work directly with engineering teams and business stakeholders to turn requirements into measurable AI quality standards.

Skills

Experience building and deploying LLM,

RAG or agentic AI systems

LangGraph

LangChain

LlamaIndex

RAG, embeddings, retrieval

LLM evaluation, observability, guardra

Testing and CI/CD

Ambiguous requirements

Consultancy and financial services

Tools

LangGraph

LangChain

LlamaIndex

Job description

Location: London – Hybrid, 3 days onsite

Contract: 4 months initially, likely to extend

We are looking for a Senior AI Engineer to join a leading financial services client, helping build a new enterprise AI capability from the ground up.

This is a hands-on engineering role, focused on building production-grade agentic AI and RAG systems that can reason across research reports, transcripts, filings and enterprise data. A major focus will be ensuring AI outputs are reliable, measurable and fully traceable back to their source.

The Role

• Build production agentic AI and RAG workflows
• Develop robust document ingestion, parsing and extraction pipelines
• Build LLM evaluation frameworks and guardrails covering groundedness, factual accuracy, relevance and confidence
• Implement citation and provenance, tracing outputs back to specific source documents and retrieved content
• Improve retrieval quality through chunking, embeddings and vector search
• Build automated quality controls around missing, duplicated, truncated or incorrectly extracted content
• Develop production-grade Python services and pipelines with appropriate testing, CI/CD and monitoring
• Work directly with engineering teams and business stakeholders to turn requirements into measurable AI quality standards

Requirements

• Experience building and deploying LLM, RAG or agentic AI systems into production
• Experience with frameworks such as LangGraph, LangChain or LlamaIndex
• Strong understanding of RAG, embeddings, retrieval and vector databases
• Experience with LLM evaluation, observability, guardrails or AI quality
• Strong software engineering fundamentals including testing and CI/CD
• Comfortable working from ambiguous requirements and building solutions from scratch
• Consultancy and financial services experience is strongly preferred