Engineering Matching Specialist (Focus In Genai And Ai / Ml Roles)

We help enterprises source, qualify, hire, manage, and pay global technical talent in one integrated platform.Market leaders partner with Andela to help rewrite their workforce strategies to include global, remote talent from over 175 countries to scale their teams and deliver projects faster.Andela Talent Cloud provides an intelligent, AI-driven platform that helps enterprises build remote-fluent teams from emerging geographies such as Africa and Latin America.

Powerful AI-matching algorithms learn from thousands of data points in the hiring journey to pinpoint the best engineers up to 70% faster at 30 to 50% less cost than other hiring approaches.

Andela caters to specialized disciplines such as Application Engineering, Artificial Intelligence, Cloud, and Data & Analytics, with over 30 specific use cases.

The world's best brands trust Andela, including GitHub, Mastercard Foundry, ViacomCBS, and Mindshare.

• About the role :
• Matching is about finding exceptional talent and connecting them with the perfect client.

Our team of experts can quickly identify the specific requirements of our clients, and we work 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.

• Responsibilities :
• Technical Talent Advisory & Evaluation
• Perform in-depth analysis of engineering resumes and portfolios with a strong lens on software architectures, tech stacks, and system design approaches.

Evaluate candidates' real-world coding experience, scalability considerations, and project relevance against client requirements.

• Engineering Capability Assessments
• Lead structured technical screenings and scenario-based interviews to probe problem-solving skills, depth of systems knowledge, and ability to apply engineering principles.

Assess strengths across SDLC stages, from architecture through deployment and operations.

• Strategic Client Advisory
• Advise CTOs, VPs of Engineering, and Product leaders on engineering talent strategy.

Translate project requirements and product roadmaps into talent specifications, guiding clients on the types of engineers and skillsets required to scale effectively.

Operate as a strategic engineering partner.

• Technical Talent Pipeline Development
• Curate and maintain a network of high-caliber 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 long-term 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 long-term 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 IT-related field, such as Computer Science, Information Technology, or Software Engineering.
• Proven experience working with Sales Teams or in a Sales / pre-sales-facing role, demonstrating an understanding of the sales process and the ability to work collaboratively with sales professionals.
• Data Engineering / Science / Generative AI Transition : A demonstrated track record of transitioning from software engineering to data engineering or data science.

This could be evidenced by relevant work experience, personal projects, or certifications.

• Data Expertise : At least 2 years of experience in data-related roles, with a 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 : A solid understanding of Machine Learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Matching Acumen : The ability to accurately assess the technical skills and experience of candidates for Data Engineering, GenAI, and AI / ML roles.

This includes understanding the nuances of different data-related technologies and how they apply to specific client needs.

• Experience leading teams, including managing and motivating team members, setting goals, and ensuring successful project outcomes.
• Demonstrated ability to work remotely, including strong communication skills and the ability to collaborate effectively with team members in different locations.
• Previous experience working in a startup environment, including a willingness to be flexible and adaptable to changing priorities and requirements.
• Experience in a multicultural environment, with an ability to work effectively with team members from diverse backgrounds and cultures.
• Ability to overlap 5 hours with EST (9AM - 2PM EST)#LI-Remote #LI-NR1
• Benefits
• Fully Remote work culture - we hire globally and all of our roles are fully remote!
• Bring your own device stipend - buy your own laptop with funds from Andela
• Flexible working hours
• Equity (as a part of the compensation package)
• Healthcare, 401k / pension (US only)
• Generous Paid Time Off, Parental Leave, Compassionate LeaveAnd more to come!

We're on a journey to reimagine global benefits at Andela.At Andela, we outcompete through diversity.

We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds & orientations resident in our community and we take pride in that.

Andela is committed to a work environment in which all individuals are treated with respect and dignity.

Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices.

Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV / AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws.

This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Our policies expressly prohibit any form of harassment and / or discrimination as stated above.

Andela is home for all, come as you are.

• Exceptional Leadership :
• As an Andelan, you'll serve as a role model for the rest of the company; you do not need to manage people to be a leader at Andela!

Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you.

• Low ego, low drama :
• You share credit, take blame.

You like being wrong because it means someone else had an even better idea.

• One team mentality :
• You break silos across teams.

You put the company and mission first above your team alone.

• Great listener, hungry for

#J-

• Ljbffr