Fresh Jobs at Moniepoint Inc.

Job Description

• The Quality Assurance Analyst responsibilities include designing and implementing tests, debugging, and defining corrective actions. You will also review system requirements and track quality assurance metrics.
• The QA Analyst role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs while being cost-effective.

Responsibilities
What you’ll get to do:

• Work with other developers, enterprise architects,  product and project managers in designing software solutions.
• Derive acceptance criteria from a quality assurance perspective for given product requirements.
• Derive test cases based on the acceptance criteria defined.
• Perform the different types of tests required to certify the quality of an application before deployment.
• Maintains records of bugs captured for applications.
• Carry out exploratory/learning tests for new features.
• Ensures that every feature being deployed is without bugs.

Requirements
To succeed in this role, we think you should have:

• Candidates should possess a minimum of B.Sc Degree in Computer Science or a Related Field
• 3-5 years of proven experience as a quality assurance analyst/engineer or similar role.
• Familiarity with Agile development methodologies.
• Experience with software design and development in a test-driven environment.
• Excellent communication skills.
• Resourcefulness and troubleshooting aptitude.
• Attention to detail.
• Technical depth.
• Analytical skills

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Job Purpose

• The Operations Lead is a critical member of the Product team, acting as the bridge between product functionality, customer experience, and operational excellence.
• This role is responsible for managing escalated support issues, driving continuous improvement, and ensuring the stability and efficiency of product-related operations. You will be the go-to expert for operational challenges that require deep product knowledge.
• The Operations Lead is accountable for the operations team's execution, with the goal of meeting and surpassing all defined operational metrics.

Roles & Responsibilities
Operational Management:

• Proactively manage and resolve non-support operational issues that occur during standard business activities.
• Work in close collaboration with the Product Manager to translate operational data and qualitative feedback into actionable product improvements and feature enhancements.
• Develop, review, and optimize Standard Operating Procedures (SOPs) for loan operations
• Participate in new product/feature launches to ensure operational readiness, including updating processes and training materials for support teams.

Process & System ImprovementIdentify and lead automation, workflow optimization, and process improvement initiatives to increase operational efficiency:

• Develop, review, and optimize Standard Operating Procedures (SOPs) for loan operations
• Participate in new product/feature launches to ensure operational readiness, including updating processes and training materials for support teams.

Regulatory & Compliance:

• Ensure adherence to internal loan policies, central bank/MFB regulatory requirements, AML/KYC, data privacy, and audit standards.
• Support both internal and external audit processes, ensuring timely response to findings and implementation of corrective actions relating to product operations

Key Requirements 

• 6–10+ years of experience in leading a high-volume operations, support, or service delivery role, preferably within a technology or product-focused environment.
• Strong analytical skills with proficiency in data analysis and reporting tools (e.g., SQL, Excel, data visualization platforms like Tableau/Looker).
• Demonstrated ability to setup and manage complex operational workflows
• Excellent communication and stakeholder management skills, with the ability to effectively translate technical/operational findings into business-friendly insights.
• Experience collaborating directly with Product and Engineering teams.
• A meticulous approach to tracking, documentation, and process improvement

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About the Role

• Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc. 
• We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience. 
• We are looking for a highly skilled AI Python Engineer with deep expertise in large language models (LLMs), prompt engineering, and applied AI development.
• You will design and deploy production-grade AI solutions, integrate language models into core systems, and contribute to the evolution of Moniepoint’s AI-driven products.

Responsibilities
What You'll Be Doing:

• Design, develop, and deploy AI-driven applications using Python and modern frameworks.
• Craft, refine, and test prompts and multi-step prompt chains for optimal LLM performance across various business contexts.
• Integrate and orchestrate LLM APIs (OpenAI, Anthropic, Gemini, HuggingFace, etc.) and open-source models (LLaMA, Mistral, etc.).
• Fine-tune and optimize models for domain-specific use cases.
• Build evaluation frameworks to measure model accuracy, prompt effectiveness, and output quality.
• Work closely with product managers and domain experts to translate business needs into robust AI-driven solutions.
• Develop scalable APIs, pipelines, and microservices that integrate AI models into Moniepoint’s backend systems.
• Ensure scalability, security, and reliability of AI systems in production environments.
• Research and experiment with cutting-edge techniques in embeddings, RAG (retrieval-augmented generation), and generative AI deployment.

Requirements
What We're Looking For:

• BS/MS in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience as a Python Developer, preferably in AI/ML-focused roles.
• Proven hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, or HuggingFace.
• Strong skills in prompt engineering (system prompts, few-shot, zero-shot, and chain-of-thought techniques).
• Experience with LangChain, LangGraph, LlamaIndex, Ollama, or similar orchestration frameworks.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Redis, PgVector, etc.) and embeddings.
• Good understanding of NLP fundamentals, machine learning workflows, and fine-tuning techniques.
• Experience building APIs and integrating AI into production systems.
• Knowledge of cloud environments (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes).
• Strong problem-solving skills, with an emphasis on experimentation, iteration, and data-driven decision making.
• Strong debugging skills and a methodical approach to problem-solving.
• Excellent communication skills and a team-first attitude.

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About the Role

• You're a senior individual contributor who drives design excellence and strategic impact across multiple teams.
• You lead through craft mastery, strategic thinking, and influence, not through people management.
• You set direction, solve complex problems that span products, and multiply impact by raising the capabilities of designers around you

Responsibilities
What you’ll do:

• Lead design strategy for major product areas or cross-product initiatives
• Drive complex, ambiguous projects from discovery through launch across multiple teams
• Set design standards, patterns, and best practices that others follow
• Identify and solve systemic design problems across products
• Partner with senior product and engineering leadership on strategy
• Mentor and sponsor senior and mid-level designers (informally, no direct reports)
• Make critical design decisions that affect multiple teams
• Contribute significantly to design system strategy and evolution
• Represent design in organisational planning and cross-functional forums
• Identify strategic opportunities that weren't on the roadmap

Requirements

• Mastery of design tools and advanced prototyping
• Ideally, 10+ years of product design experience with demonstrated strategic impact
• Strategic product thinking and strong business acumen
• Ability to influence without authority
• Comfortable operating with extreme ambiguity and creating clarity for others
• Strong facilitation skills for workshops and alignment sessions
• Can work autonomously for extended periods without guidance
• Makes high-stakes decisions

What you bring:

• Portfolio showing leadership and influence across multiple teams or products
• Proven track record of solving complex, ambiguous problems
• Deep expertise in visual design, interaction design, and systems thinking
• Strong research skills and ability to validate strategic decisions with evidence
• History of setting direction that others follow
• Experience mentoring and developing other designers
• Excellent stakeholder management and communication at senior leadership level
• Track record of identifying opportunities and driving them to completion