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- Tasks: Lead and refine AI-driven code generation systems while collaborating with cross-functional teams.
- Company: Join a forward-thinking tech company focused on GenAI innovations.
- Benefits: Flexible freelance remote work with competitive pay and the chance to shape AI technology.
- Why this job: Make a real impact in AI coding and drive groundbreaking advancements.
- Qualifications: 7-10+ years in software development, strong coding skills, and GenAI familiarity preferred.
- Other info: Part-time or full-time contract with excellent opportunities for innovation.
The predicted salary is between 60000 - 84000 £ per year.
Freelance Remote Opportunity: We’re seeking an experienced Tech Lead / Senior Software Engineer to spearhead our GenAI Code Initiatives. This is a hands-on, freelancing remote role focused on evaluating, improving, and advancing AI-driven code generation systems.
Key Responsibilities
- Code Generation & Refinement: Write, evaluate, and refine complex code solutions. This is a hands-on technical role, not purely managerial.
- Code Validation: Design and implement advanced frameworks to rate and test model-generated code, including automated test suites and benchmarking systems.
- Code Quality & Efficiency: Analyze and enhance both human-written and model-generated code for performance, correctness, and maintainability.
- Cross-Functional Collaboration: Work closely with research, engineering, and product teams to integrate evaluation insights and drive model improvements.
Required Skills & Qualifications
- Experience: 7–10+ years of proven experience in building and deploying complex software solutions.
- Languages (Priority): Strong proficiency in Python, Java, C, C++, or JavaScript — especially for evaluating and refining model-generated code.
- Code Evaluation Expertise: Skilled in developing test harnesses, assessing code for correctness, efficiency, and security, and defining measurable code quality metrics.
- GenAI Familiarity (Preferred): Understanding of LLMs, code generation, and model evaluation/fine-tuning workflows.
Preferred Skills
- Priority Languages: Python, Java, C, C++, JavaScript
- Domain Expertise: STEM fields, data analysis/science, or data visualization
- Technical Stack: Web visualization platforms, SQL/databases, JSON, HTML, Markdown, and modern data libraries.
- Seniority: Tech Lead level — suited for candidates who thrive on solving complex technical challenges in smaller, high-impact datasets.
Why This Role Matters
- Accelerate Development: Streamline validation and refinement of AI code models.
- Ensure Quality: Guarantee production-grade, secure, and efficient model outputs.
- Drive Innovation: Lead groundbreaking advancements in GenAI code generation.
Role Type: Freelance / Remote
Engagement: Part-time or full-time contract
Experience Level: Tech Lead / Senior Software Engineer
If you’re passionate about building the future of AI-assisted coding, we’d love to hear from you. Apply now with your CV, hourly rate, and availability.
Technical Lead - Gen AI employer: Aceolution
Contact Detail:
Aceolution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead - Gen AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who are already working in AI or software development. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to code generation and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with code evaluation and model improvements.
✨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 hearing from passionate candidates who want to shape the future of AI-assisted coding.
We think you need these skills to ace Technical Lead - Gen AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and deploying complex software solutions. We want to see your proficiency in languages like Python, Java, C, C++, or JavaScript, so don’t hold back on showcasing those skills!
Showcase Your Code Evaluation Skills: Since this role involves evaluating and refining model-generated code, include examples of your work with test harnesses and code quality metrics. We love seeing how you’ve tackled code correctness, efficiency, and security in past projects.
Highlight Cross-Functional Collaboration: This position requires working closely with various teams, so share any experiences where you’ve collaborated with research, engineering, or product teams. We’re keen to know how you’ve integrated insights to drive improvements.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way for us to receive your application and get to know you better. Don’t forget to include your hourly rate and availability!
How to prepare for a job interview at Aceolution
✨Know Your Code Inside Out
Make sure you’re well-versed in the languages mentioned in the job description, especially Python, Java, C, C++, and JavaScript. Be prepared to discuss your past projects and how you've evaluated and refined code solutions. Brush up on your coding skills, as you might be asked to solve problems on the spot.
✨Showcase Your Evaluation Skills
Since the role involves code validation and quality assurance, come ready to talk about your experience with developing test harnesses and assessing code for correctness and efficiency. Have examples of frameworks or automated test suites you've implemented in the past to demonstrate your expertise.
✨Highlight Cross-Functional Collaboration
This position requires working closely with various teams, so be prepared to share experiences where you’ve collaborated with research, engineering, or product teams. Discuss how you’ve integrated insights from different stakeholders to drive improvements in code generation systems.
✨Stay Updated on GenAI Trends
Familiarise yourself with the latest advancements in GenAI, particularly around LLMs and model evaluation workflows. Being able to discuss current trends and innovations will show your passion for the field and your commitment to driving innovation in AI-assisted coding.
