At a Glance
- Tasks: Design and implement a document intelligence workflow using LlamaIndex and Python.
- Company: MaximAI.CX is an innovative tech company focused on AI-driven solutions.
- Benefits: Enjoy remote work flexibility and the chance to work on exciting projects.
- Other info: This is a contract role with milestone-based payments, starting September 2025.
- Why this job: Join a cutting-edge team and tackle real-world challenges in document intelligence.
- Qualifications: Experience with LlamaIndex, Python, and fuzzy matching techniques is essential.
The predicted salary is between 50000 - 70000 £ per year.
Freelance Document Intelligence Engineer
Freelance Document Intelligence Engineer
Direct message the job poster from MaximAI.CX Lab
Freelance Document Intelligence Engineer (LlamaIndex) – Contract (UK/EU)
MaximAI.CX is hiring an expert freelancer to build a production-readydocument intelligenceworkflow.
The core challenge:reliable three-way matchingacrossQuotes, Purchase Orders and Delivery Notes, usingLlamaIndex (or similar) with robustfuzzy matchingtechniques and Python.
What you’ll doFreelance Document Intelligence Engineer (LlamaIndex) – Contract (UK/EU)
MaximAI.CX is hiring an expert freelancer to build a production-readydocument intelligenceworkflow.
The core challenge:reliable three-way matchingacrossQuotes, Purchase Orders and Delivery Notes, usingLlamaIndex (or similar) with robustfuzzy matchingtechniques and Python.
What you’ll do- Design and implement a LlamaIndex-based pipeline (or similar) to ingest, parse and normalise multi-format documents.
- Build fuzzy/approximate matching logic (e.g., token/character similarity, thresholds, blocking, tie-break rules) to align items betweenQuote PO Delivery Noteat line level. (OCR + python + NLP + LLM)
- Implementthree-way reconciliationwith clear exception handling, confidence scoring, and audit trails.
- Integrate the workflow inton8n, or similar(triggers, queues, error handling) and expose results via API/webhook for downstream use.
- Deploy onAzure(storage, security, monitoring); work natively within theMicrosoftecosystem.
- Document the solution, tests and acceptance criteria for delivery-based sign-off.
- LlamaIndexin production (index design, node parsing, metadata, query engines).
- Python(typing, tests, packaging) and practicalfuzzy matching(e.g., Levenshtein/Jaro/Jaccard, token sort/partial ratios), record linkage, and deduping at scale.
- Buildingthree-way matchingor reconciliation engines for financial/ops documents (quotes/POs/invoices/delivery notes or similar).
- n8nfor orchestration and integrations.
- LLMsfor retrieval/structuring/extraction (prompting, evaluation, guardrails).
- Azureservices andMicrosoftstack proficiency (security, storage, identity).
- Data quality, observability, and GDPR-aware handling.
- Advanced OCR
- Experience with schema/ontology design for line-item matching.
- Vector stores, chunking strategies, and evaluation frameworks for doc QA/extraction.
- CI/CD for data/ML pipelines.
- Start date:1 September 2025.
- Contract / delivery-based engagement;payments tied to agreed milestones and success criteria.
- Non-exclusive: you may work on other projects in parallel.
- Remotewithin theUK or EU(must have right to work in your UK/EU location).
Emailfreelance@maximai.cx
with:
- YourCVcontainingonly relevant co-intelligence projects(human + AI workflows, document intelligence, reconciliation). Nothing else needed.
- Optionally: links to code or demos.
Once your CV is reviewed,successful candidates will receive next steps by email.
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#J-18808-LjbffrFreelance Document Intelligence Engineer employer: MaximAI.CX Lab
MaximAI.CX offers an exceptional freelance opportunity for Document Intelligence Engineers, providing a dynamic work environment that fosters innovation and collaboration. With a focus on cutting-edge technologies like LlamaIndex and Azure, freelancers can expect to engage in meaningful projects that enhance their skills while enjoying the flexibility of remote work across the UK and EU. The company values professional growth and encourages freelancers to explore diverse projects, making it an attractive choice for those seeking rewarding and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Freelance Document Intelligence Engineer
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
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We think you need these skills to ace Freelance Document Intelligence Engineer
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Freelance Document Intelligence Engineer at MaximAI.CX Lab, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at MaximAI.CX Lab.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at MaximAI.CX Lab
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
