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Solirius Consulting

AI Engineer

Solirius Consulting

. Design, build, and maintain scalable AI architectures and pipelines supporting business requirements .

Posted 9/22/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable AI architectures, including Large Language Models and autonomous workflows. Proficient in Python, cloud infrastructure, and AI-assisted coding methodologies, with a strong ability to communicate complex concepts to diverse stakeholders.

Highest-signal resume keywords
Python ProficiencyLarge Language Model ExperienceCloud Infrastructure ExperienceAI-Assisted Coding ToolsAgile Development Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
NLP WorkflowsRetrieval-Augmented Generation ArchitectureData Ingestion PipelinesSQL ProficiencyBig Data TechnologiesETL and Orchestration ToolsDeep Learning with TensorFlowDeep Learning with PyTorchSemantic SearchAutonomous Agentic Workflows
Soft Skills
MentoringTechnical ConsultingClient EngagementCommunication SkillsTeaching Ability
Tools & Technologies
AzureAWSGCPFlaskFastAPIAirflowLuigiArgoDbtSpark
Industry Keywords
Explainable AISynthetic Data GenerationStatistical AnalysisKnowledge GraphsVector Databases

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLFlaskGoogle Cloud PlatformKafkaPostgresPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable AI architectures and pipelines supporting business requirements
  • Operationalise Large Language Models such as GPT, Llama, and Mistral in production environments
  • Implement NLP workflows including BERT and topic modelling
  • Design and orchestrate autonomous agentic workflows that reason, plan, and execute tasks across multiple tools
  • Collaborate with Data Engineers on model deployments, data storage, vector databases, and cloud infrastructure
  • Champion and mentor teams and clients on AI-assisted coding and agentic coding workflows
  • Provide technical consulting on AI product development and explain the distinction between standard machine learning and agentic AI
  • Stay current with modern AI stack developments, synthetic data generation, and Explainable AI
  • Work in a multidisciplinary practice with Data Scientists, Data Engineers, and Software Engineers
  • Engage with clients to understand their needs and translate them into effective technology outcomes

Requirements

What you’ll need
  • Strong proficiency in Python
  • Robust software engineering principles
  • Experience operating as part of engineering teams
  • Proven experience working with LLMs
  • Experience designing Retrieval-Augmented Generation (RAG) architectures
  • Knowledge of semantic search and vector retrieval
  • Experience using AI-assisted and agentic coding tools
  • Ability to articulate and teach AI-assisted and agentic coding methods
  • Ability to explain complex AI concepts to non-technical stakeholders
  • Experience designing and orchestrating autonomous agentic workflows, such as LangGraph
  • Experience managing agent state and memory
  • Experience working with cloud infrastructure such as Azure, AWS, or GCP
  • Experience working in an Agile development environment
  • Proficiency in SQL and relational databases such as PostgreSQL and DuckDB
  • Experience building data ingestion pipelines
  • Experience with ETL and orchestration tools such as Airflow, Luigi, Argo, and dbt
  • Experience with big data technologies such as Spark, Kafka, and Parquet
  • Experience with web frameworks for model serving such as Flask or FastAPI
  • Familiarity or experience with classical NLP techniques, statistical analysis, and knowledge graphs
  • Familiarity or experience with Deep Learning using TensorFlow or PyTorch

Benefits

Comp & perks
  • Competitive Salary
  • Bonus Scheme
  • Private Healthcare Insurance
  • 25 Days Annual Leave + Bank Holidays
  • Up to 10 days allocated for development training per year
  • Enhanced Parental Leave
  • Paid Fertility Leave (5 Days)
  • Contributory Pension
  • EAP with Help@Hand
  • Gym Membership Benefits
  • Flexible Benefits Allowance
  • Cycle to Work and Electric Vehicle schemes
  • Flexible Working
  • Annual Away Days/Company Socials
  • Mental health and wellbeing support
  • Reasonable adjustments to support the application process
  • Accessible and inclusive recruitment process