AIML Engineering Lead

Lagos - Nigeria

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 06-11-2025

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

As the Engineering Lead youll architect and build the technical backbone of our clients healthcare product.

Youll work closely with our ML developers to deploy image classification models and nutrition recommendation engines into production. Youll also lead the development of our expert and patient-facing apps build scalable infrastructure and set the technical standards for everything from model inference to compliance and security.

Responsibilities

Own the AI integration pipeline from training to deploymentworking hand-in-hand with ML researchers to ship systems in production.
Build and scale model-serving infrastructure for multimodal AI (CV nutrition future LLMs).
Implement API endpoints and backend logic to support real-time and asynchronous inference leveraging frameworks like FastAPI or LangChain where appropriate.
Lead development of frontends for clinical experts and patients prioritising performance and simplicity.
Set up and manage cloud infrastructure (e.g. AWS GCP) for model serving API management analytics and user access controls.
Collaborate with product and design to turn ML outputs into intuitive features (e.g. diagnosis suggestions treatment plan builders).
Ensure AI-related privacy security and auditabilityaligned with GDPR/HIPAA standards.
Establish strong engineering practices and scale the team through mentorship and hiring.

Requirements

Must-Have Qualifications

5 years of experience in backend/full stack development in concrete ML-powered product environments.
Proven experience integrating and scaling machine learning models in production ideally with image (CV) or structured datasets.
Strong Python experience; comfortable with frameworks like FastAPI LangChain Sup-abase or equivalent.
Experience building APIs around inference pipelines and working with multi-label or multimodal ML outputs.
Deep understanding of cloud infra for AI (e.g. managing GPU instances auto scaling monitoring).
Strong product intuition and ability to translate ambiguous requirements into robust shippable systems.

Nice-to-Haves

Experience in health tech clinical decision support tools or regulated medical AI systems.
Understanding of data lifecycle and compliance in healthcare (GDPR HIPAA).
Exposure to LLM use cases in healthcare or structured clinical ontologies (e.g. SNOMED ICD10).
Familiarity with MLOps workflows and model versioning strategies.

Benefits

What You Get

Founding engineer-level autonomy and impact after probation
Competitive salary and equity package.
The opportunity to shape a new category of expert-facing AI in medicine.
Remote-first team async-friendly and mission-led culture.
A chance to directly improve medical care for thousands across Europe and the U.S.

Required Skills:

Python Programming PyTorch / TensorFlow / Transformers Frameworks Machine Learning Pipeline Development Large Language Models (LLMs) & API Integration Retrieval-Augmented Generation (RAG) & Vector Databases Agent Orchestration & Model Context Protocol (MCP) MLOps & CI/CD for Model Deployment Cloud AI Platforms (AWS SageMaker / Azure ML / GCP Vertex AI) Model Optimization (Quantization Distillation RLHF) Data Security & Compliance (SOC 2 / NIST / CJIS)

Required Education:

BSc

This is a remote position. As the Engineering Lead youll architect and build the technical backbone of our clients healthcare product. Youll work closely with our ML developers to deploy image classification models and nutrition recommendation engines into production. Youll also lead the deve...