BAE Systems

4 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build and deploy AI/LLM-powered services for a data platform, focusing on RAG, summarisation, and tool integration. Develop FastAPI-backed APIs for LLM chatbot capabilities, implement retrieval workflows, and connect to enterprise data sources and platforms (MinIO, Databricks, PGVector, Azure AI Search). Deploy via OpenShift and GitLab CI/CD in a hybrid team, and continuously improve response quality.

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and deploy AI/LLM-powered services and capabilities (RAG Q&A, summarisation, document integration, tool integration)
•Develop LLM-backed APIs (FastAPI) for LLM chatbot capabilities
•Implement retrieval workflows (chunking, embeddings, grounded answering)
•Integrate with enterprise data sources and platforms (MinIO, Databricks, Postgres/PGVector, Azure AI Search)
•Deploy services in OpenShift and Azure via GitLab CI/CD and continuously improve response quality

Pay and Benefits

Salary: GBP 55,000

Perks:PensionHealth InsuranceEquityRemote Work

Key Requirements

•Python backend engineering
•Experience of RAG implementation and LLM orchestration
•Knowledge of FastAPI, Langchain/LangGraph, vLLM, AI Search, Hugging Face, Docling, PGVector and AI Foundry

Skills:PythonFastAPILangchainLangGraphVLLMPGVectorAI FoundryDatabricksPostgreSQLMinIOAzure AI SearchGitLab CI/CDOpenShift

Tech Stack:PythonFastAPILangchainLangGraphVLLMPGVectorHugging FaceDoclingMinIODatabricksPostgreSQLAzure AI SearchOpenShiftGitLab CI/CD

Company Brief

BAE Systems

Multinational defence, security and aerospace company designing, manufacturing and supporting military and civilian systems including naval ships, submarines, aircraft, cyber solutions and electronic systems for governments and commercial customers.

Industry: Defense Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1999

Website LinkedIn

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BAE Systems

4 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and deploy AI/LLM-powered services and capabilities (RAG Q&A, summarisation, document integration, tool integration)
•Develop LLM-backed APIs (FastAPI) for LLM chatbot capabilities
•Implement retrieval workflows (chunking, embeddings, grounded answering)
•Integrate with enterprise data sources and platforms (MinIO, Databricks, Postgres/PGVector, Azure AI Search)
•Deploy services in OpenShift and Azure via GitLab CI/CD and continuously improve response quality

Pay and Benefits

Salary: GBP 55,000

Perks:PensionHealth InsuranceEquityRemote Work

Key Requirements

•Python backend engineering
•Experience of RAG implementation and LLM orchestration
•Knowledge of FastAPI, Langchain/LangGraph, vLLM, AI Search, Hugging Face, Docling, PGVector and AI Foundry

Skills:PythonFastAPILangchainLangGraphVLLMPGVectorAI FoundryDatabricksPostgreSQLMinIOAzure AI SearchGitLab CI/CDOpenShift

Tech Stack:PythonFastAPILangchainLangGraphVLLMPGVectorHugging FaceDoclingMinIODatabricksPostgreSQLAzure AI SearchOpenShiftGitLab CI/CD

Company Brief

BAE Systems

Industry: Defense Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1999

Website LinkedIn