CrawlJobs Logo

Ai Engineer

United Kingdom, London 95000.00 - 105000.00 GBP / Year · Job Posted April 24, 2026
Apply Position
Job Link Share

Job Description

At Data Idols, we are working with a forward-thinking technology business that is building advanced AI-driven platforms to automate complex workflows and deliver intelligent insights at scale. This is a high-growth environment where engineering plays a critical role in shaping product capability. The business is now looking for a Senior Backend AI Engineer to take ownership of its AI and platform architecture as it continues to scale. The Opportunity: This is a senior, high-impact role where you will own the design and delivery of both AI orchestration systems and the underlying platform infrastructure. You will be responsible for building the layer that connects AI models, workflows, and decision-making processes, while also ensuring the platform is secure, scalable, and compliant for enterprise use. Working closely with product, data, and engineering teams, you will play a key role in bringing AI-driven features into production and ensuring they operate reliably and efficiently. This role suits someone who enjoys building from scratch, taking ownership, and working across both AI systems and platform engineering in a fast-moving environment.

Job Responsibility

  • Own the design and delivery of both AI orchestration systems and the underlying platform infrastructure
  • Build the layer that connects AI models, workflows, and decision-making processes
  • Ensure the platform is secure, scalable, and compliant for enterprise use
  • Work closely with product, data, and engineering teams
  • Play a key role in bringing AI-driven features into production and ensuring they operate reliably and efficiently

Requirements

  • Strong experience with Python
  • Experience building production systems using LLMs or generative AI
  • Knowledge of prompt engineering, RAG, or agent-based architectures
  • Experience working with APIs, distributed systems, or event-driven architectures
  • Understanding of authentication and security protocols
  • Experience building secure, scalable platforms
  • Knowledge of observability, monitoring, and system reliability
  • Proven experience owning systems end-to-end

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Ai Engineer

8 matching positions

Ai Engineer

I'm working with a well known and established charity as they continue a major t...
Location
Location
United Kingdom , London
Salary
Salary:
60000.00 - 70000.00 GBP / Year
understandingrecruitmentnfp.com Logo
Understanding Recruitment NFP
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience with Microsoft Copilot Studio and the wider Microsoft stack
  • Experience building AI agents, automations and integrations within Power Platform
  • Experience with Azure technologies
  • Understanding of AI governance, security, RBAC and AI guardrails
  • Experience designing APIs, integrations and scalable AI workflows
  • Strong stakeholder engagement and communication skills
  • Fulltime
Read More
Arrow Right
New

Ai Engineer

JOB DESCRIPTION Join in developing and applying the ML/DL techniques to resolve ...
Location
Location
Vietnam , Ho Chi Minh
Salary
Salary:
Not provided
saigontechnology.com Logo
Saigon Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 3 years of experience working with AI/ML projects as a Data Engineer, Research Engineer, or Software Engineer.
  • Have programming skills in one of these languages: Python, Java...
  • Have experience with one of ML/DL Frameworks: Tensorflow, Pytorch, Keras, scikit-learn, Pandas, Langchain, LlamaIndex…
  • Have experience working with OpenAI, Gemini, any LLM... to build agents, workflows, or RAG systems.
  • Have experience with one of chatbot building frameworks or services like Rasa, Dialogflow, Transformer, BERT, LLM/Prompt…
  • Familiar with OCR algorithms or services: OpenCV, Tesseract, Textract (AWS), Google Cloud Vision, PaddleOCR.
  • Experience with common development tools: Linux, GPU server, Google Colab, Jupyter, Git, Docker.
  • Good English proficiency and communication skills.
Job Responsibility
Job Responsibility
  • Join in developing and applying the ML/DL techniques to resolve our client’s business problems such as building chatbot systems, LLM/Prompt, OCR systems, fraud detection systems, facial recognition systems…
  • Join in developing some internal products applying AI models
What we offer
What we offer
  • Competitive Salary and Brilliant Health Benefits
  • Attractive salary (13th-month salary, salary review twice/year) and project bonus
  • Bonus programs for candidate referral, technical article writing
  • Allowance for sickness, maternity, paternity and periodic health examination
  • PVI health care program
  • The staff of the quarter and year reward
  • Progressive and Fun Working Environment
  • A professional English-speaking working environment with Agile – Scrum model
  • Hybrid Working Model: Flexible working time and WFH support.
  • Surrounded with friendly, open-minded, young and supportive colleagues
  • Fulltime
Read More
Arrow Right
New

Ai Engineer

GitGuardian is a global cybersecurity scale-up. The company is based in Paris, N...
Location
Location
France , Paris
Salary
Salary:
Not provided
gitguardian.com Logo
GitGuardian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software engineering and a proven track record of shipping production systems
  • Hands-on experience building LLM-powered features in production, with a clear understanding of the trade-offs (quality, cost, latency, safety) and how they connect to product and business needs
  • Know how to systematically improve LLM systems: versioned prompts, offline/online evaluations, data analysis, and iteration based on real-world signals
  • Can industrialize LLM systems at scale (caching, batching, model routing, observability, rate limiting, ML CI/CD pipelines)
  • Strong in Python and comfortable working with REST APIs and making pragmatic architectural decisions
  • Operate as a senior engineer: debugging complex systems, refactoring with intent, reviewing code thoughtfully, and thinking ahead about scalability
  • Take ownership: identify gaps, propose solutions, and go beyond your immediate scope
  • Connect technical decisions to product and business outcomes
  • Regularly use AI tools in your daily workflow
  • Communicate clearly and collaborate effectively, especially with ML teams
Job Responsibility
Job Responsibility
  • Build and iterate on LLM features, including agentic workflows, using LangGraph and LangSmith
  • Scale the platform foundations behind these features — orchestration, performance, and reliability
  • Partner closely with the team's ML Engineer on design, evaluation, and productionization of AI systems
What we offer
What we offer
  • Package that includes BSPCE
  • Lunch voucher (Swile, 9€ at 50%)
  • Sponsored Wellpass (gymlib)
  • Non-charged health insurance for children (Sidecare / Generali)
  • Up to €300 to improve your home office set-up
  • Yearly holiday allowance
  • Referral bonus of 4000€ for any new Guardian we might hire thanks to you
  • Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)
  • Remote policy: hybrid (3 days/week at the office in Paris)
  • Opportunities for career development in the long term
  • Fulltime
Read More
Arrow Right

Ai Engineer

Location
Location
United States
Salary
Salary:
Not provided
influur.com Logo
Influur
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • What technologies from our stack (Python, Next.js, Node.js) have you worked with, and at what depth?
  • What's the most complex AI agent you've built (e.g., using OpenAI, Anthropic, or custom orchestration)?
  • Do you have early or growth stage startup experience?
  • Are you legally authorized to work in the United States?
Read More
Arrow Right

Ai Engineer

At myPOS, we're all about helping businesses grow and get paid. We make payments...
Location
Location
Bulgaria , Sofia; Varna
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
  • 5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
  • Strong Python skills (typed code, async, testing) and solid SQL fluency
  • Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs — including tool use, memory, and multi-step reasoning patterns
  • Practical experience with MCP or comparable tool/function-calling protocols
  • comfortable designing tool schemas and sub-agent boundaries
  • Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
  • Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
Job Responsibility
Job Responsibility
  • Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
  • Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
  • Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
  • Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
  • Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
What we offer
What we offer
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full 'Luxury' package health insurance including dental care and optical glasses
  • Meal vouchers of 102.26 EUR per month
  • Fully covered Multisport card
  • Fully covered public transport pass for Sofia
  • Free coffee, snacks and drinks at the office
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Fulltime
Read More
Arrow Right

Ai Engineer

Join our team as an AI Engineer and play a critical role in developing next-gene...
Location
Location
India , Noida
Salary
Salary:
Not provided
aqusag.com Logo
AquSag Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years in at least one of the following languages: Python, PHP, GoLang, JAVA, .NET, C++, or C#
  • Strong experience with developing and deploying AI or machine learning models
  • Proven ability to write clear documentation and effectively communicate complex concepts, both in writing and verbally
  • Demonstrated success in training AI systems using real-world datasets
  • Ability to collaborate remotely and work independently in a distributed team environment
  • Solid grounding in computer science fundamentals, algorithms, and software engineering best practices
  • Attention to detail and a passion for building high-impact AI solutions
Job Responsibility
Job Responsibility
  • Develop, test, and optimize AI models and intelligent agents for diverse applications
  • Collaborate with cross-functional teams to identify and implement AI-driven solutions
  • Contribute to training datasets, algorithm selection, and model evaluation
  • Apply advanced programming skills in Python, PHP, GoLang, JAVA, .NET, C++, OR C# to build robust, scalable AI systems
  • Document technical processes and communicate findings through clear written and verbal reports
  • Continuously monitor AI agent performance to ensure reliability and accuracy
  • Stay updated on the latest AI advancements and recommend innovative approaches for the customer’s projects
  • Fulltime
Read More
Arrow Right

AI Engineer

About the Role: We are a fast-growing technology company leveraging large langua...
Location
Location
India , Bengaluru
Salary
Salary:
1500000.00 - 3000000.00 INR / Year
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in AI/ML, NLP, or software engineering with a focus on prompt or LLM integration
  • Strong proficiency in Python and familiarity with LLM client libraries
  • Hands-on with at least one orchestration framework (LangChain, LlamaIndex, Dify, etc.)
  • Experience working with vector databases (Pinecone, Weaviate, Qdrant) or embedding services
  • Solid understanding of prompt-engineering techniques, chain-of-thought, and RAG concepts
  • Ability to benchmark, profile, and optimize model calls for performance and cost
  • Excellent written communication for clear documentation and prompt examples
Job Responsibility
Job Responsibility
  • Prompt Design & Optimization: Craft and iterate prompt templates for a variety of use cases (summarization, classification, Q&A)
  • Implement few-shot examples, chain-of-thought techniques, and dynamic parameterization
  • Benchmark, profile, and refine prompts to balance accuracy, latency, and cost
  • Workflow & Chain Development: Build multi-step LLM pipelines using frameworks like LangChain, LlamaIndex, or equivalent
  • Integrate retrieval-augmented generation (RAG) with vector stores and document loaders
  • Develop agentic workflows that orchestrate API calls, data enrichment, and user interactions
  • Model Integration & Testing: Integrate with public and private LLM services (e.g., OpenAI, Anthropic, self-hosted models)
  • Automate performance tests, error-handling routines, and hallucination checks
  • Monitor usage metrics, implement rate-limits, and optimize token budgets
  • Collaboration & Documentation: Work closely with backend/frontend engineers to expose LLM endpoints
What we offer
What we offer
  • Impactful Projects: Shape core LLM-driven capabilities across diverse applications
  • Innovative Environment: Work with cutting-edge models, RAG pipelines, and agent frameworks
  • Growth & Learning: Access to mentorship, training budgets, and conference support
  • Fulltime
Read More
Arrow Right

Ai Engineer

A London-based organisation is looking to bring on an AI Engineer to help develo...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
hunterbond.com Logo
Hunter Bond
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience working on complex AI systems spanning conversational AI, agentic workflows, and voice applications
  • Strong focus on production-grade engineering, scalability, and real-time performance
  • Experience collaborating with cross-functional teams including architecture, security, and data governance
  • Exposure to modern AI tooling, LLM frameworks, and cloud-native infrastructure
  • Ability to experiment with emerging AI techniques and influence technical direction
Job Responsibility
Job Responsibility
  • Design and implement advanced RAG pipelines with hybrid search, re-ranking, and optimised retrieval strategies
  • Build and deploy conversational AI agents with robust multi-turn dialogue and contextual memory
  • Develop end-to-end voice AI systems integrating STT, TTS, and real-time audio processing
  • Optimise LLM performance through fine-tuning, prompt engineering, and evaluation frameworks
  • Architect scalable AI infrastructure, including model serving, monitoring, and observability in production environments
  • Fulltime
Read More
Arrow Right