Full stack software engineer

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.

ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.

DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.

RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients’ Data at Welo Data.

Job Reference: #LI-JC1

MAIN PURPOSE OF JOB:

The full-stack software engineer is responsible for developing information systems by studying operations, designing and developing software components, and collaborating with others in a software development team to ensure that solutions are maintainable, scalable, and tested.

Note: This role primarily requires strong front-end development experience. Candidates must have solid expertise in front-end technologies. However, knowledge of back-end development is preferable and will be considered an added advantage.

MAIN DUTIES

The following is a non-exhaustive list of responsibilities and areas of ownership of a Software Engineer:

Study information needs, systems flow, data usage, and work processes to formulate solutions.

Collaborate with Product Management and UX personnel to understand priorities and ensure designs are refined through user testing.

Document and demonstrate proposed solutions.

Determine operational feasibility by evaluating analysis, problem definition, requirements, and proposed solutions.

Implement solutions following the software development lifecycle.

Update job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations

Protect operations by keeping information confidential.

Accomplish engineering and organization mission by completing work in a timely fashion.

Support and develop software engineers by providing advice, coaching, and educational opportunities.

Education Level-

Post-secondary degree in Computer Science or equivalent professional experience.

Experience-

Demonstrable professional experience as the technical owner of major components or subsystems through the software development lifecycle.

Excellent problem-solving skills and attention to detail.

Proficiency in Nodejs and different frameworks such as Express, Typescript.

Previous professional experience collaborating with business stakeholders.

Experience shipping code in an agile SDLC.

Previous experience in performance analysis and benchmarking.

Able to apply continuous integration, develops, and automated testing concepts.

Knowledge of multiple frameworks, paradigms, languages, and trends in the relevant domain.

Other relevant skills

Strong understanding of design patterns.

Experience in JavaScript web development with Reactjs or Vue.js

Knowledge of version control systems, particularly Git.

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Knowledge of asynchronous programming, queuing, cacheing, logging, security, and persistence.

Practical knowledge of algorithms, big O complexity, and the CAP theorem.

Able to add value to team discussions, prevent views persuasively with rational justifications, and solve disagreements constructively.

Able to assess and evaluate 3rd party components and systems

Able to solve technical challenges independently.