What You’ll Do
At DAKOTA, you will assume leadership of the AI Operations team from the outset, taking full ownership of its delivery, expansion, and impact validation. Your responsibilities will include developing automation solutions and agent-based systems for internal applications, while functioning as a trusted advisor to Engineering teams to embed AI capabilities into customer-facing products. Embrace the opportunity to merge innovative AI technologies with mission-driven initiatives that advance digital and financial inclusion throughout Africa.
Key responsibilities include overseeing daily operations to ensure seamless workflow, managing cross-functional teams to meet project deadlines, and implementing strategic initiatives to enhance productivity and efficiency. You will liaise with stakeholders to gather requirements, assess performance metrics, and identify opportunities for process improvements. Additionally, you will collaborate with senior leadership to align departmental goals with organizational objectives, drive innovation, and maintain high standards of operational excellence. This role demands strong analytical skills, exceptional leadership capabilities, and the ability to adapt to evolving business priorities while delivering measurable results.
Responsibilities include leading a team of two AI Ops Engineers, overseeing their completion of deliverables, guiding their professional growth, and managing their daily tasks and performance.
Efficiently prioritize tasks by adeptly managing competing demands from various teams, utilizing a structured prioritization framework that you will both establish and refine.
Develop and deploy automations and intelligent agents designed to enhance operational efficiency and productivity for both internal teams and customer-facing personnel.
Maintain the operational integrity and performance of the AI tooling infrastructure to ensure seamless scalability in conjunction with the expanding user base of over 2,500 employees.
To maintain expertise in rapidly evolving AI landscapes, actively monitor and assess new tools and technologies, distinguishing between transient trends and genuinely impactful innovations.
Assist in enhancing AI training methodologies for various departments within the organization, with a focus on collaborating with Engineering teams.
The role requires proficiency in various technical environments, including cloud platforms, containerization technologies, and DevOps practices. A strong grasp of programming languages, such as Python or Java, is essential, along with experience in CI/CD pipelines and infrastructure as code (IAC). Familiarity with monitoring tools, logging systems, and security best practices is also necessary. The position demands the ability to troubleshoot issues, optimize performance, and collaborate with cross-functional teams to implement scalable solutions.
We seek expertise in advanced AI and agentic frameworks, including Claude, Claude Code, Anthropic tooling, Lang Chain, MCP, and Google ADK—or comparable agentic solutions.
Automation and Prototyping: Responsibilities include developing scripting solutions, designing workflow tools, leveraging AI-assisted development techniques, and implementing rapid prototyping solutions using platforms such as Tercel and Railway.
We specialize in developing and maintaining enterprise tooling solutions, including identity automation systems such as Entry, internal platform integrations, and tools like Notion and HiBob. This role involves designing, implementing, and optimizing these systems to ensure seamless operations and enhanced productivity across the organization.
For over a year, our production environment has successfully leveraged automated systems powered by Claude, Notion, HiBob, and Entry.
Our Approach
Here’s a dynamic and professional rewrite of your paragraph:
This is a hands-on team where you’ll actively develop and deploy functional automations and agents, not just provide recommendations.
Demonstrate tangible value initially with a team of two engineers, subsequently scaling efforts based on measurable outcomes to drive broader impact.
A commitment to a product-driven approach is essential, requiring you to view internal teams as valued customers and develop tooling solutions tailored to their needs.
Analyze nascent AI tools with a discerning eye, prioritizing tangible utility over superficial promotional claims.
What You Need
We seek a technically proficient professional with a product-driven mindset to design and implement intelligent automation solutions. Your role will not involve model development, as that responsibility lies with our dedicated Data Science teams; instead, you will create autonomous agents, deploy workflow automations, and guide a team to enhance the efficiency and intelligence of DAKOTA’s internal processes.
Seeking candidates with a minimum of [X] years of relevant experience in [specific field/industry], preferably in [related roles or sectors]. Proficiency in [key skills or tools] is essential, along with demonstrated expertise in [specific responsibilities or tasks]. Ideal applicants will possess a track record of success in [relevant achievements or outcomes], supported by strong problem-solving abilities and adaptability. A degree in [field of study] or equivalent professional experience is required. Familiarity with [industry standards or regulations] is a plus.
Professional candidates must demonstrate practical expertise in developing automation solutions, including scripting, workflow optimization tools, and AI-driven development methodologies.
Proven expertise in developing agents utilizing agentic frameworks such as Lang Chain, MCP, Google ADK, or comparable tools is essential.
Background in enterprise tooling, including rapid prototyping solutions such as Tercel or Railway, identity automation platforms like Entry, or internal platform development.
You must possess proven experience in leading and mentoring engineers, with the ability to take full ownership of a team’s delivery and development.
Qualifications
BA/BSc/HND
