Technology

Ai Engineer At Helpmum

HelpMum·Lagos, nigeria·Full Time·Internship
TechnologyFull TimeInternship
-Closes Oct 5, 2026

Job Description

  • This Job is strictly on-site role and it is in Lekki Phase 2, Lagos State If you are not in Lagos for now, please do not apply.

About the Role

  • We're looking for an AI Engineer to build impactful healthcare AI solutions using LLMs, NLP, Speech AI, and model fine-tuning, helping improve maternal healthcare and medical access across Africa.

Key Responsibilities

  • Design, develop, and deploy production-grade AI solutions leveraging Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI technologies.
  • Architect and implement end-to-end AI/ML pipelines, covering data preparation, model selection, training, fine-tuning, evaluation, inference, deployment, and monitoring.
  • Architect and maintain scalable AI pipelines using cloud infrastructure (AWS/Azure/GCP) to ensure our tools work reliably in low-bandwidth environments.
  • Work with Speech AI technologies, including Speech-to-Text (STT), Text-to-Speech (TTS), voice processing, and real-time conversational AI pipelines..
  • Design, curate, preprocess, and validate high-quality datasets for model training, fine-tuning, and evaluation.
  • Establish and follow best practices for AI development, experimentation, testing, deployment, and responsible use of AI.

Required Qualifications

  • Education: Bachelor's or Master's Degree in Computer Science, Data Science, AI, or a related technical field.
  • Experience: 3+ years of experience in AI/Machine Learning engineering, preferably within health-tech or social impact sectors.
  • Tech Stack Proficiency: Languages: Expert-level Python (PyTorch, TensorFlow, Keras).
  • NLP: Experience with Transformers, Hugging Face, and fine-tuning LLMs.
  • Data: Strong SQL and experience with data engineering tools.
  • Cloud & DevOps: Experience with Docker, Kubernetes, and deploying models to production (MLOps).

Preferred Attributes

  • Passion for Impact: A deep-seated desire to use technology to solve real-world problems in Africa.
  • Problem Solver: Ability to build high-performing models that function within the constraints of resource-limited settings.
  • Language Tech: Interest or experience in building Translation Models for local African languages.

Key skills

BA/BSc/HNDMBA/MSc/MA

At a glance

Company

HelpMum

Location

Lagos, nigeria

Employment

Full Time

Experience

Valid until

October 5, 2026

Created

September 10, 2026

More opportunities

Similar roles you might like

Ai Engineer At Corona Management Systems

Corona Management Systems

Abuja, nigeria

full-time

Job Description Build and own production AI systems end-to-end, including LLM-powered applications, intelligent agents, conversational AI, document processing, decision-support tools, and automation workflows, from architecture and prototyping through deployment, monitoring, and continuous improvement. Design agent, RAG, and context-engineering systems, including retrieval, embeddings, reranking, grounding, memory, compaction, caching, token management, tool/function calling, agent harnesses, retries, state management, and failure recovery. Build robust AI evaluation and quality frameworks to measure accuracy, relevance, hallucination, safety, retrieval quality, latency, cost, and task completion, using regression testing, human evaluation, LLM-as-judge, and production feedback to continuously improve system performance. Evaluate, train, deploy, and optimise AI models, selecting between frontier and open-weight models and applying techniques such as SFT, LoRA/QLoRA, preference tuning, quantisation, and self-hosted inference where appropriate, while optimising for capability, security, privacy, latency, and cost. Engineer reliable and secure production AI infrastructure, developing Python/FastAPI services, APIs, data and inference pipelines, and observability while collaborating with Product, Software, and Platform Engineering teams and maintaining appropriate technical documentation, security controls, and responsible AI practices. Requirements 3+ years of relevant experience in AI Engineering, Machine Learning Engineering, Applied AI, Data Science, or related roles, with demonstrable experience designing, shipping, and maintaining LLM-powered systems in production. Strong proficiency in Python, FastAPI, APIs, SQL/databases, Git, Docker, and Linux, with solid software engineering fundamentals including asynchronous systems, retries, state management, testing, observability, debugging, scalability, latency, and cost optimisation. Hands-on experience with LLMs, Generative AI, RAG, agents, and context engineering, including prompt engineering, embeddings, vector/hybrid search, retrieval, reranking, tool/function calling, memory, context compaction, caching, grounding, and token management. Demonstrable experience building AI evaluation and model engineering pipelines, including regression testing, LLM-as-judge/human evaluation, hallucination mitigation, model benchmarking, and working with open-weight models through techniques such as SFT, LoRA/QLoRA, DPO/preference tuning, and production inference. Experience with relevant AI/ML and production technologies such as PyTorch, Hugging Face, vector databases, commercial and self-hosted LLMs, and inference frameworks such as vLLM/SGLang, with a strong understanding of AI security, privacy, responsible AI, model selection, performance, and production reliability.

3 hours ago

Senior Platform Engineer At Trust Wallet

Trust Wallet

All, nigeria

full-time

If you're passionate and motivated by building modern, cloud native and cloud agnostic platforms we invite you to join us to build innovative crypto architectures and advance technologies that will accelerate the delivery of web3 innovations to our users. Responsibilities: Infrastructure: You will be spearheading the planning and execution of infrastructure deployments, leveraging automation tools and best practices to guarantee a stable and scalable foundation for the platform serving our million users. Operations: You will be managing day-to-day operations, troubleshooting issues, and optimizing workflows to maintain high availability (HA) and meet service level objectives (SLOs) for the platform. Feature development: You will be owning backend features that support all our platforms (extension, mobile and desktop). Interfacing with users: You will be interfacing directly with end-users and developers building on Trust Wallet - supporting them and collecting feedback to inform the direction of the product. Team building: You will be working with the team to create and foster a culture of raising the bar with each new hire. AI & DevX: You will leverage AI engineering best practices to boost developer productivity and engineering velocitystandardizing AI-assisted workflows (coding, reviews, debugging, incident response), building/maintaining internal tooling and prompts/guardrails, and measuring impact through delivery and reliability metrics. Qualifications: Deep experience managing and building with Cloud Platforms (AWS, Cloudflare) Experience with Kubernetes and adjacent technologies (Istio, Helm Charts) Experience with infrastructure configuration management (Terraform, Atlantis) Experience building CI/CD pipelines and accelerating application delivery (GitHub Actions, ArgoCD) Experience with production observability technologies (Prometheus, Grafana, Sentry) Hands on Go lang experience (Networking, HTTP, gRPC, OpenTelemetry) Expertise in implementing SRE principles, focusing on maintaining high availability Familiar with incident handling and on-call responsibilities Experience leveraging AI-assisted engineering tools and best practices (e.g., LLM coding assistants, AI-driven code review/testing, prompt patterns/guardrails) Strong security fundamentals and hands-on experience implementing cloud and Kubernetes security best practices.

a day ago

Software Engineering Manager At Remita

Remita

Lagos, nigeria

full-time

The role We're hiring a Senior Engineering Manager to lead our Java-based platform teams. You'll own delivery, reliability, and technical growth across mission-critical payment APIs and microservices. This is a hands-on leadership role combining architecture, people management, and operational excellence. What you'll do Lead and grow multiple engineering teams, including hiring, performance management, and career development. Drive architecture and design for microservices, APIs, and payment integrations. Ensure system reliability, scalability, security, and compliance with payment standards. Champion engineering best practices: CI/CD, automated testing, code reviews, observability. Own system reliability, capacity planning, and SLOs for both transactional services and ML inference workloads; optimize cost and latency trade-offs. Partner with Product, Data & AI Engineering, Risk, Security, and Compliance to prioritize initiatives, embed models into workflows, and ensure regulatory readiness. Establish KPIs for engineering and AI (lead time, MTTR, model drift, inference latency, false positive/negative rates); use metrics to drive continuous improvement. Evaluate and introduce technologies that improve performance and developer productivity. What we're looking for 10+ years software engineering experience; 5+ years in engineering management or equivalent. Strong Java (Java 8+) expertise and proven experience building production microservices. Experience with Spring Boot, Spring Cloud, messaging (Kafka/RabbitMQ), and databases (Oracle, Postgres, Redis, etc.). Cloud & container experience (AWS/Azure/GCP, Kubernetes/Docker). Hands-on with CI/CD, IaC (Terraform/CloudFormation), and observability tools (Prometheus/Grafana/ELK). Solid knowledge of secure development practices and payment industry/regulatory requirements. Familiarity with specification-driven AI development, including structured workflows, schema-based outputs, guardrails, and evaluation-driven AI system design. Familiarity with ML frameworks and tooling (TensorFlow, PyTorch, scikit-learn), model orchestration (Kubeflow, MLflow), and cloud AI services (SageMaker, Vertex AI, Azure ML); or demonstrated ability to evaluate and adopt equivalent solutions. Demonstrated ability to lead through ambiguity, manage complex stakeholder networks, and deliver under high operational pressure. Excellent communicator and stakeholder partner; experience in fintech/payments preferred.

6 days ago

Al Engineer At Ehealth4everyone

eHealth4everyone

Abuja, nigeria

full-time

Summary We are looking for an AI Engineer that would primarily be using cutting-edge machine learning to tackle complex problems. The ideal candidate must have knowledge or coursework in topics such as software engineering, artificial intelligence, machine learning and Natural Language Processing (NLP) to support projects. Responsibilities Assisting with the development of technologies and products that leverage Artificial Intelligence to provide the discriminating capability to our customers. Utilizing current AI paradigms including computer vision, deep learning, and reinforcement learning, applying these techniques to help solve complex problems and field innovative solutions. Conducting statistical analysis and interpreting the results so that they can guide the organization's decision-making process. Automating important infrastructure for the data science team. Developing infrastructures for data transformation and ingestion. Explaining the usefulness of the AI models they create to a wide range of individuals within the organization, including stakeholders and product managers. Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills. Qualifications and Skills Degree or Coursework in Engineering, Computer Science, in a related discipline, or equivalent experience. Three (3) years of experience using machine learning frameworks (Pytorch, Tensorflow,, etc.). Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, etc.). Experience with C++, Java, GO, and other compiled languages. Familiarity with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]. Familiarity with modern Computer Vision Familiarity with high-performance computing. Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.). Familiarity interfacing with databases (SQL, MongoDB, etc.).

13 days ago

Senior Ai Engineer At Conclase Consulting

Conclase Consulting

Lagos, nigeria

full-time

Role Description The person in this role will design, develop, and deploy advanced AI models and systems, with a focus on solving complex business problems using pattern recognition, neural networks, and natural language processing. Day-to-day responsibilities include collaborating with product and engineering teams to define AI requirements, building and optimizing machine learning pipelines, writing high-quality production-level code, and integrating AI solutions into existing software platforms. The Senior AI Engineer will also conduct experiments, evaluate model performance, ensure scalability and reliability of AI services, and provide technical guidance to junior engineers. Additionally, the role involves staying current with emerging AI technologies and recommending tools and frameworks that can improve Conclase's technical offerings. Qualifications Strong foundation in Computer Science, with expertise in algorithms, data structures, and software development best practices. Advanced knowledge of Pattern Recognition and Neural Networks, including experience building and training deep learning models. Hands-on experience with Natural Language Processing (NLP), such as text classification, entity recognition, and language modeling. Proficiency in one or more programming languages commonly used in AI (e.g., Python, Java, or C++), and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience designing and deploying AI systems in production environments, including model optimization, monitoring, and maintenance. Ability to translate business requirements into technical solutions and communicate complex concepts clearly to non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. Experience working in cross-functional teams and mentoring other engineers; prior work in startup or fast-paced environments is an advantage. Banking or Fintech experience is a plus .

13 days ago

Nlp/ai Engineer At Vennote Technologies Limited

Vennote Technologies Limited

Lagos, nigeria

full-time

Are you a talented NLP or AI Engineer with strong technical skills and the ability to innovate, multitask, and work in an agile environment? Then, join our team for Product Development and Projects Implementations in Lagos Nigeria. Vennote Technologies is building a next-generation Natural Language Understanding, Machine Learning and Artificial Intelligence products with a focus on Multimodal and Cross-Channel User Interfaces (phone, web, mobile, etc.) The position requires individuals who enjoy challenges, prioritize, meet deadlines, and have a collaborative work ethic and teamwork spirit working closely with our Speech Scientists, Software Developers, Analysts, and Project Managers. We have: A state-of-the-art, highly innovative Product platform that we continuously expand/improve to maintain our leadership A team of seasoned experts to collaborate with. An open mind to new technologies, methodologies, challenges, and innovation We are looking for you if you can: Leverage a wide range of techniques from linguistic rules to transformers and deep neural networks in your day-to-day work. Gather and clean relevant datasets for training a chatbot. Create predefined templates to structure responses based on identified intents and entities. Use statistical models to generate more natural and diverse responses. Experience extracting meaningful features from text data, such as n-grams, part-of-speech tags, and named entities. Build models to identify the user's intent or purpose behind their query. Research, experiment with and implement innovative approaches to named entity recognition, relationship extraction entity linking and classification Work with customer provided data to both evaluate and continuously iterate on NLP solutions Produce performant and production quality robust code following the best practices adopted by the product team Improve (in performance, accuracy etc.) existing solution to NLP problems Have an agile product mentality balancing between finding solutions that deliver high precision/recall, over simpler approaches that can give value to customers in shorter intervals. Demonstrate passion, excitement, and real interest in what we do while being respectful of others and fun to work with Proven experience with Python Deep Learning Frameworks (Pytorch preferably, Keras optionally) Get involved in all stages of ML lifecycle Optional: Experience with chat or voice bots Knowledge of low code frameworks Experience with Application Containerization method and Application Containerization Engines (e.g. Docker) Experience with web frameworks for building APIs with Python (e.g. FastAPI, Flask, Sanic) You are: Holding a Degree in Data Science, Computer Science, or similar field An NLP Engineer with more than 7 years of experience Proficient in English, both verbal and written Hard worker, task, deliverables, and quality oriented Highly knowledgeable and efficient in standards and documentation Self-motivated, proactive with demonstrated creative and critical thinking capabilities Fun to work with and be around, like we are. Passionate, enthusiastic and with a desire to meet objectives and company targets Quick to adjust inside a rapid-changing environment

18 days ago