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- Tasks: Stabilise and enhance an AI-powered executive intelligence system with backend engineering.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Flexible hours, competitive pay, and the chance to work on cutting-edge technology.
- Why this job: Tackle real architecture challenges and make a significant impact in AI development.
- Qualifications: Strong backend engineering skills, experience with API orchestration, and SQLAlchemy.
- Other info: Work independently in a dynamic environment with opportunities for growth.
The predicted salary is between 3000 - 4500 £ per month.
Project Overview:
We are building an AI-powered executive intelligence and meeting-prep system that integrates:
- People enrichment APIs (identity and canonical fields)
- Google Calendar and Gmail ingestion
- Visibility sweep engines (TED, keynote, podcast discovery)
- Evidence graph modeling
- LLM-based dossier synthesis
- Entity disambiguation and scoring logic
The system is functional but needs architectural hardening and production-level reliability improvements. We are looking for a strong backend engineer to take ownership of stabilizing and improving core pipelines.
Project Scope:
This is not a research or prompt-writing task. This is a systems engineering project.
Key deliverables:
- Identity and Enrichment Stabilization
- Ensure enrichment (PDL or similar) properly feeds canonical fields
- Improve entity lock scoring logic
- Eliminate 0/100 lock edge cases
- Add clear scoring transparency
- Ensure deterministic SerpAPI execution
- Persist retrieval ledger rows
- Guarantee sweep execution before gating
- Improve visibility confidence scoring
- Ensure migrations are actually applied in production
- Implement safe schema evolution patterns
- Eliminate column-missing runtime errors
- Enforce proper stage ordering (retrieval → evidence → synthesis → QA)
- Remove premature fail-closed logic
- Improve error reporting and debugging endpoints
- Add debug endpoints for enrichment and sweep execution
- Improve logging around rate limits and API failures
- Add system health diagnostics
Definition of Done:
- Deep research executes reliably
- Retrieval ledger rows persist and are visible
- Entity lock reflects enrichment data correctly
- No regression of profile photos
- Calendar-based enrichment works consistently
- Migrations apply cleanly in production
Tech Stack:
- Python backend (FastAPI + SQLAlchemy)
- PostgreSQL
- Railway deployment
- SerpAPI
- People Data Labs
- LLM-based synthesis layer
Ideal Candidate:
- Strong backend systems engineer
- Experience with API orchestration and rate limiting
- Comfortable working with SQLAlchemy and migrations
- Strong debugging instincts
- Experience with LLM-based systems is a plus
- Comfortable working independently with high ownership
Why This Is Interesting:
You will be working on a non-trivial AI orchestration system that blends deterministic data pipelines, identity resolution, retrieval systems, evidence modeling, and generative synthesis. This is a real architecture problem, not a cosmetic AI wrapper.
Contract duration of 1 to 3 months, with 30 hours per week.
Mandatory skills: Artificial Intelligence
Fixed-Fee Project: Harden employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fixed-Fee Project: Harden
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for those tricky questions! Research common backend engineering interview questions and practice your answers. We want you to feel confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Fixed-Fee Project: Harden
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your backend engineering experience, especially with Python, FastAPI, and SQLAlchemy. We want to see how your skills align with our project needs, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your relevant experience and how you can contribute to our AI-powered system.
Tailor Your Application: Take a moment to customise your application for this role. Mention specific aspects of the job description that excite you and how your background fits into the project scope. It shows us you’re genuinely interested!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at FreelanceJobs
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Python, FastAPI, SQLAlchemy, and PostgreSQL. Be ready to discuss how you've used these technologies in past projects and how they relate to the role.
✨Demonstrate Problem-Solving Skills
Prepare to showcase your debugging instincts and problem-solving abilities. Think of specific examples where you’ve tackled complex issues in backend systems or API orchestration. This will help illustrate your capability to handle the architectural challenges of the project.
✨Understand the Project Scope
Familiarise yourself with the project scope and deliverables. Be prepared to discuss how you would approach stabilising and improving core pipelines. Showing that you understand the nuances of the project will set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the project and the team. This shows your genuine interest and helps you gauge if the company culture aligns with your values. Questions about their current challenges or future plans can spark engaging conversations.
