Job Title

Engineering Matching Specialist (focus in GenAI and AI/ML roles) Join to apply for the Engineering Matching Specialist (focus in GenAI and AI/ML roles) role at Andela. About the Role Matching is about finding exceptional talent and connecting them with the perfect client. Our team of experts quickly identifies the specific requirements of our clients and works closely with them to develop a customized recruitment strategy that meets their unique needs. We take the time to understand the specific skills and attributes required for each role and use our industry knowledge and experience to identify and attract the best talent. Exceptional Leadership Low ego, low drama: share credit, take blame, and welcome being wrong so others can build on better ideas. Oneteam mentality: break silos across teams and put the company and mission first. Great listener, hungry for feedback: always seeking improvement, soliciting diverse opinions, and deeply listening. Owner, not renter: see the problem, fix it or find someone who will; the buck stops with you. Teamplayer: roll up sleeves, get scrappy, and collaborate proactively while engaging in important details. Business problem solver: approach your function through the lens of solving business problems, not just being a functional expert. Responsibilities Technical Talent Advisory & Evaluation Perform indepth analysis of engineering resumes and portfolios, evaluating candidates realworld coding experience, scalability considerations, and project relevance against client requirements. Engineering Capability Assessments Lead structured technical screenings and scenariobased interviews to probe problemsolving skills, depth of systems knowledge, and ability to apply engineering principles across SDLC stages. Strategic Client Advisory Advise CTOs, VPs of Engineering, and Product leaders on engineering talent strategy; translate project requirements and product roadmaps into talent specifications and guide clients as a strategic engineering partner. Technical Talent Pipeline Development Curate and maintain a network of highcaliber engineers, staying ahead of industry shifts in cloud infrastructure, distributed systems, AI/ML, DevOps, and modern frameworks; proactively surface candidates who align with emerging client needs. Stakeholder & Team Alignment Collaborate with engineering leadership to ensure candidates align not only on technical ability but also on team practices, delivery models, and longterm architectural direction. Engineering Career Guidance Build trusted relationships with engineers, providing technical career guidance and mapping their expertise to market demand; position yourself as a longterm advisor helping them navigate opportunities in modern engineering landscapes. Continuous Technical Depth Remain current with advancements in cloud platforms, container orchestration, data engineering, AI/ML stacks, and secure development practices, translating this knowledge into sharper evaluation and client advisory. Qualifications Degree or equivalent qualification in an ITrelated field (e.g., Computer Science, Information Technology, Software Engineering). Proven experience working with Sales Teams or in a Sales/presalesfacing role. Data Engineering/Science/Generative AI Transition: demonstrated track record of transitioning from software engineering to data engineering or data science. Data Expertise at least 2 years of experience in datarelated roles, with strong understanding of at least one of the following: Data Engineering: building and maintaining data pipelines, ETL/ELT processes, and working with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Generative AI (GenAI): experience with large language models (LLMs), prompt engineering, and building applications using GenAI technologies. AI/ML: solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikitlearn). Matching Acumen: ability to accurately assess the technical skills and experience of candidates for Data Engineering, GenAI, and AI/ML roles. Experience leading teams, managing and motivating team members, setting goals, and ensuring successful project outcomes. Demonstrated ability to work remotely, with strong communication skills and the ability to collaborate effectively with team members in different locations. Previous experience working in a startup environment, with a willingness to be flexible and adaptable to changing priorities and requirements. Experience in a multicultural environment, able to work effectively with team members from diverse backgrounds and cultures. Availability to overlap 5 hours with EST (9AM 2PM EST). Seniority Level Entry level Employment Type Fulltime Job Function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr