Codeln is an AI-Powered Technical Recruitment platform. We offer the best approach to recruiting software engineering talent by automating the entire process thereby cutting down technical recruitment time by 70%. We understand that the process of recruiting Software Developers is a hectic and time-consuming process and if not properly conducted, the Company risks having a bad hire. Finding and identifying skilled talents is quite a process and employing a wrong fit slows down technical productivity rate. We thereby make the process fast and easy for Companies.
Our key services:
Talent Sourcing: we help Companies find skilled Software Developers through our Online Marketplace of pre-vetted Software Developers. To ensure quality, we verify the coding skills of all candidates before we place them on our Platform by testing them using a project-based approach.
Talent Screening: validating the skills of potential employees cannot be overemphasized. Using our Testing Platform, we help verify the coding skills of Software Developers by giving them projects (workplace sample tests) to build on our online Integrated Development Environment (IDE). We check for code quality (vulnerability, maintainability etc) based on standards and best practices.
Payroll: We offer a seamless cross-border payroll process for companies allowing them to pay their remote employees with ease. We offer multiple payment options: bank transfers, debit/credit card, direct debit, ApplePay, digital wallet or the option to integrate with any of your preferred payment partners.
Codeln is an AI-Powered Technical Recruitment platform. We offer the best approach to recruiting software engineering talent by automating the entire process thereby cutting down technical recruitment time by 70%. We understand that the process of recruiting Software Developers is a hectic and time-consuming process and if not properly conducted, the Company risks having a bad hire. Finding and identifying skilled talents is quite a process and employing a wrong fit slows down technical productivity rate. We thereby make the process fast and easy for Companies.
Our key services:
Talent Sourcing: we help Companies find skilled Software Developers through our Online Marketplace of pre-vetted Software Developers. To ensure quality, we verify the coding skills of all candidates before we place them on our Platform by testing them using a project-based approach.
Talent Screening: validating the skills of potential employees cannot be overemphasized. Using our Testing Platform, we help verify the coding skills of Software Developers by giving them projects (workplace sample tests) to build on our online Integrated Development Environment (IDE). We check for code quality (vulnerability, maintainability etc) based on standards and best practices.
Payroll: We offer a seamless cross-border payroll process for companies allowing them to pay their remote employees with ease. We offer multiple payment options: bank transfers, debit/credit card, direct debit, ApplePay, digital wallet or the option to integrate with any of your preferred payment partners.
Target focus: Software engineering talent with emphasis on African-based developers
Company Overview
Problem Domain
Technical recruitment and developer skills validation
Founded
2017
Industry
HR tech / recruiting
Funding Track Record
Non-Equity Assistance- 2022-03-30
Most recent reported funding event (Non-Equity Assistance)
Non-Equity Assistance- 2021-06-29
Pre-Seed- 2018-09-12
Investor Signal
“Reported participation or support from MassChallenge and Meltwater Entrepreneurial School of Technology (MEST) and Yale Africa Startup Review”
Founders
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Join the Team
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Technical Leadership & Delivery**
* Design, develop, and deploy AI and Generative AI solutions, including LLM-based systems
* Own technical architecture, model selection, and implementation decisions
* Build and scale solutions including ML pipelines, LLM-based systems, and computer vision
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* Ensure production readiness, scalability, performance, security and cost of AI systems
* Review code, models, and experiments to maintain high engineering standards
* Establish and enforce best practices in data processing, model evaluation, and MLOps
**Team Leadership & Mentorship**
* Lead, mentor, and support a team of ML/AI engineers
* Set clear technical direction, priorities, and quality expectations
* Provide ongoing feedback, conduct technical reviews, and support skill development
* Foster a culture of ownership, accountability, and collaboration
* Support hiring, onboarding, and performance management of team members
**Client Collaboration & Communication**
* Serve as the technical point of contact for clients on AI-related topics
* Collaborate directly with clients to understand technical requirements and assess AI feasibility
* Present technical solutions, demos, and progress updates to client stakeholders
* Translate client business goals into clear technical approaches and implementation plans
* Set and manage expectations around AI capabilities, limitations, and delivery timelines
**Project & Resource Management**
* Lead AI engineering efforts across multiple concurrent client projects
* Balance team capacity and skills across 3–5 simultaneous engagements
* Prioritize competing demands and clearly communicate technical trade-offs
* Ensure consistent quality and engineering standards across all client work
* Work closely with Project Managers to estimate effort, plan delivery, and manage technical risks
* Innovation & Continuous Improvement
* Stay current with AI and Generative AI advancements and assess practical applications
* Drive experimentation and adoption of new tools, frameworks, and methodologies
* Improve internal processes, documentation, and engineering workflow
**Requirements**
* 6+ years of software engineering experience
* 4+ years of experience in AI, Machine Learning; building ML/AI systems
* 3+ years of experience in deploying ML/AI models into production environment
* Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
* Practical experience with Generative AI / LLMs (OpenAI, Anthropic, or open-source models)
* Strong understanding of:
* Machine learning algorithms and evaluation methods
* LLMs and generative AI architectures
* Data pipelines and feature engineering
* Experience building and deploying AI systems into production environments
* Experience with MLOps pipelines and tools ( as Weights & Biases, AWS SageMaker ect’)
* Prior experience leading or mentoring engineers
* Strong communication skills, including client-facing technical discussions
* High sense of ownership, accountability, and delivery focused
**Nice to Have**
* Experience with cloud platforms (AWS, GCP, Azure)
* Familiarity with vector databases, RAG architectures, and MLOps pipelines
* Experience in fast-paced startup or consultancy environments
