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ThinkMD is a high-growth, AI-native health and data company transforming global healthcare through scalable, clinically validated technology. Our mission is to defeat global healthcare inequity by enabling mass distribution of AI-driven clinical decision-support solutions.
 
Already conducting 22,000+ clinical assessments per week across our partner countries including Zambia, Kenya, Sierra Leone and Cambodia, ThinkMD is rapidly scaling across the developing and low resource countries — providing powerful health intelligence that optimizes patient & clinician experiences, informs national-level health decision making, and drives commercial value.
 
Backed by world-class venture partners and global health leaders, ThinkMD is not just creating impact—we are commercializing the future of AI-powered healthcare in low-resource settings. Through strategic partnerships with governments, not for profits, private healthcare providers, pharma, and telecom companies, we are positioning ourselves as a market leader in digital health solutions for the Global South and beyond.
 
We're scaling globally to impact over 1 billion lives by 2030. To support this next phase of innovation and growth, we're seeking a talented AI Engineer (Modeling) to strengthen our technical capabilities which underpin our products and organizational capabilities.
 
Ready to help us impact a billion lives by 2030? Submit your Expression of Interest today!
 
The Opportunity
As an AI Engineer (Modeling) at ThinkMD, you will focus on post-training and optimization of large language models (LLMs) and other AI systems, including fine-tuning, RLHF, and model distillation. You will also develop and apply advanced prompting strategies, RAG, and other approaches to improve performance and repeatability. Collaborating with cross-functional teams, you will drive model performance to support our mission of equitable healthcare delivery.
 
What You'll Do
 
Model Post-Training & Optimization
- Conduct fine-tuning, RLHF, and model distillation using techniques like Supervised Fine-Tuning (SFT), Quantized Low-Rank Adaptation (QLORA), Proximal Policy Optimization (PPO), and Direct Preference Optimization (DPO)
- Apply compression and optimization techniques to improve model efficiency without sacrificing performance
- Implement RLHF pipelines using libraries like trlX and Hugging Face TRL to align models with human preferences
 
Retrieval & Prompt Engineering
- Integrate LLMs with external knowledge sources to ensure factual accuracy and up-to-date responses
- Design and implement prompting strategies (e.g., building upon recent advances in Chain of Thought, Tree of Thought, and Chain of Verification etc.) to enhance model reasoning
 
Evaluation & Responsible AI
- Design and implement evaluation metrics and A/B testing to assess model performance and reliability in production
- Develop strategies to ensure ethical AI use, including bias mitigation, fairness, and transparency in model outputs
 
Research & Collaboration
- Work with pipeline engineers and data scientists to integrate optimized models into production pipelines
- Stay updated on advancements in AI/ML, experiment with new techniques, and contribute to ThinkMD's AI strategy
 
What You Bring
 
Education & Experience
- Master's or PhD in Computer Science, Electrical Engineering, Statistics, or a related field, with formal training in AI/ML, including coursework in deep learning, reinforcement learning, and/or natural language processing
- 2+ years in AI/ML engineering, with a focus on model post-training and optimization
- Proven expertise in fine-tuning and applying RLHF to LLMs (e.g., Llama, DeepSeek, Qwen)
- Experience with prompting and RAG-based strategies to improve model reasoning and reliability
 
Technical Expertise
- Deep Learning Frameworks: Proficiency in PyTorch and Hugging Face Transformers
- Tools and Frameworks: Familiarity with trlX, TRL, Unsloth, and Weights & Biases (Wandb) for model training and evaluation
- Prompting Techniques: Expertise in advanced prompting strategies (e.g., Chain of Thought, Tree of Thought, Chain of Verification)
- Programming: Advanced proficiency in Python; familiarity with shell scripting is a plus
 
Professional Qualities
- Strong analytical skills
- Excellent communication
- Ability to collaborate in a fast-paced, team-oriented environment
 
Preferred Qualifications
- Experience with model distillation and compression for efficient LLM deployment
- Knowledge of best practices for model evaluation, including metrics design and A/B testing
- Familiarity with responsible AI frameworks and techniques for bias mitigation
- Contributions to open-source AI/ML projects or publications in conferences like NeurIPS, ICLR, or ICML
 
What We Offer
- Opportunity to make a meaningful impact on global healthcare inequity
- Collaborative work environment with a mission-driven team
- Competitive compensation and benefits package
- Professional growth and development opportunities
- Flexible work arrangements
 
Requirements
- Ability to work flexible hours across global time zones with global teams
- Legal work rights in your country of residence
- Clean background check

Ready to help us impact a billion lives by 2030?
Submit your Expression of Interest today!
 
ThinkMD is an equal opportunity employer committed to building a diverse and inclusive team. We welcome candidates from all backgrounds who share our passion for using technology to transform healthcare accessibility worldwide.

AI Engineer (Modeling) - Expression of Interest

Join ThinkMD and help transform global healthcare through innovation
 
ThinkMD is a high-growth, AI-native health and data company transforming global healthcare through scalable, clinically validated technology. Our mission is to defeat global healthcare inequity by enabling mass distribution of AI-driven clinical decision-support solutions.
 
Already conducting 22,000+ clinical assessments per week across our partner countries including Zambia, Kenya, Sierra Leone and Cambodia, ThinkMD is rapidly scaling across the developing and low resource countries — providing powerful health intelligence that optimizes patient & clinician experiences, informs national-level health decision making, and drives commercial value.
 
 Backed by world-class venture partners and global health leaders, ThinkMD is not just creating impact—we are commercializing the future of AI-powered healthcare in low-resource settings. Through strategic partnerships with governments, not for profits, private healthcare providers, pharma, and telecom companies, we are positioning ourselves as a market leader in digital health solutions for the Global South and beyond.
 
We're scaling globally to impact over 1 billion lives by 2030. To support this next phase of innovation and growth, we're seeking a talented AI Engineer (Pipelines) to strengthen our technical capabilities which underpin our products and organizational capabilities.
 
Ready to help us impact a billion lives by 2030?
Submit your Expression of Interest today!
 
The Opportunity
As our AI Engineer (Pipelines) at ThinkMD, you will design, implement, maintain, and optimize AI pipelines to support large language models (LLMs) and other AI systems, with a focus on infrastructure and operations. You will set up and manage robust Retrieval-Augmented Generation (RAG) architectures and enable post-training processes such as fine-tuning, RLHF, and model distillation. Working closely with cross-functional teams, you will ensure scalable, efficient, and reliable AI solutions that align with our mission to deliver equitable healthcare.
 
What You'll Do
 
Pipeline Development & RAG Architecture
- Design and implement end-to-end production AI pipelines for inference and post-training using LLMs such as Llama, DeepSeek, and Qwen, with a focus on RAG-based architectures
- Build and maintain RAG pipelines that integrate LLMs with external knowledge sources to ensure factual accuracy and up-to-date responses
 
Infrastructure & Cloud ML Ops
- Configure and optimize infrastructure to support LLMs and post-training processes, including fine-tuning, RLHF, and model distillation
- Manage AI workflows on Google Cloud Platform (GCP), leveraging Vertex AI, Google Kubernetes Engine (GKE), and GPU resource management for high performance
- Deploy and serve LLMs using tools like vLLM and Ray, ensuring low-latency and high-throughput inference
 
Data Engineering & Pipeline Management
- Develop and manage data pipelines using Google Cloud Storage and BigQuery to support training, evaluation, and RAG workflows
- Automate deployments and manage cloud infrastructure using Python, shell scripting, YAML, and infrastructure-as-code tools (e.g., Terraform)
- Implement monitoring systems and best practices for pipeline performance, scalability, and cost optimization in production environments
- Apply strategies to optimize cloud resource usage and reduce operational costs while maintaining performance
 
What You Bring
 
Education & Experience
- Master's or PhD in Computer Science, Electrical Engineering, Statistics, or a related field, with formal training in AI/ML, including coursework in deep learning and/or natural language processing
- 2+ years in AI/ML engineering and cloud ML Ops, with a focus on building and optimizing AI pipelines for production
- Proven expertise in deploying and maintaining RAG-based architectures using LLMs (e.g., Llama, DeepSeek, Qwen)
- Hands-on experience with distributed training and inference on cloud GPUs
 
Technical Expertise
- Deep Learning Frameworks: Proficiency in PyTorch and Hugging Face Transformers
- Vector Databases & Embeddings: Experience with vector databases (e.g., Pinecone, FAISS, Chroma) and embedding models for RAG workflows
- Tools and Frameworks: Familiarity with Unsloth, vLLM, Ray and Weights & Biases (Wandb) for pipeline development and monitoring
- Cloud Platforms: Extensive experience with GCP, particularly Vertex AI, GKE, and GPU resource management
- Programming: Advanced proficiency in Python, shell scripting, and YAML; knowledge of Terraform is a plus
- Containerization and Orchestration: Expertise in Dockerized workflows and Kubernetes for scalable AI deployments
- Data Engineering: Skills in managing datasets and building data pipelines using Google Cloud Storage and BigQuery
 
Professional Qualities
- Strong problem-solving abilities
- Excellent communication skills
- Ability to collaborate in a fast-paced, team-oriented environment
 
 Preferred Qualifications
- Experience setting up infrastructure for model post-training, including fine-tuning, RLHF, and distillation
- Knowledge of cost optimization strategies on cloud platforms, such as auto-scaling and resource allocation
- Familiarity with software engineering principles, including Git, CI/CD pipelines, and unit testing
- Contributions to open-source AI/ML projects or publications in conferences like NeurIPS, ICLR, or ICML
 
What We Offer
- Opportunity to make a meaningful impact on global healthcare inequity
- Collaborative work environment with a mission-driven team
- Competitive compensation and benefits package
- Professional growth and development opportunities
- Flexible work arrangements
 
Requirements
- Ability to work flexible hours across global time zones with global teams
- Legal work rights in your country of residence
- Clean background check

Ready to help us impact a billion lives by 2030?
Submit your Expression of Interest today!

ThinkMD is an equal opportunity employer committed to building a diverse and inclusive team. We welcome candidates from all backgrounds who share our passion for using technology to transform healthcare accessibility worldwide.

AI Engineer (Pipelines) - Expression of Interest

Join ThinkMD and help transform global healthcare through innovation
ThinkMD is a high-growth, AI-native health and data company transforming global healthcare through scalable, clinically validated technology. Our mission is to defeat global healthcare inequity by enabling mass distribution of AI-driven clinical decision-support solutions.
 
Already conducting 22,000+ clinical assessments per week across our partner countries including Zambia, Kenya, Sierra Leone and Cambodia, ThinkMD is rapidly scaling across the developing and low resource countries — providing powerful health intelligence that optimizes patient & clinician experiences, informs national-level health decision making, and drives commercial value.
 
Backed by world-class venture partners and global health leaders, ThinkMD is not just creating impact—we are commercializing the future of AI-powered healthcare in low-resource settings. Through strategic partnerships with governments, not for profits, private healthcare providers, pharma, and telecom companies, we are positioning ourselves as a market leader in digital health solutions for the Global South and beyond.
 
We're scaling globally to impact over 1 billion lives by 2030. To lead this next phase of innovation and growth, we're seeking a world-class Chief Technology Officer to own, define, and scale our technical capabilities which underpin our products and organizational capabilities.
 
Ready to help us impact a billion lives by 2030?
Apply now to join our mission to defeat global healthcare inequity through innovative technology.
 
The Opportunity
As our Chief Technology Officer, you'll be the driving force behind ThinkMD's technology vision and execution. Working directly with our Chief Product Officer, and executive team, you'll balance strategic leadership with hands-on technical expertise. You'll guide our product evolution and technology infrastructure as we expand across the Global South—a market of 6.5 billion people currently underserved by traditional healthcare systems.
 
What You'll Do
Strategic Leadership
- Define and implement ThinkMD's technology vision
- Lead R&D initiatives to drive innovation and competitive advantage
- Identify emerging trends and cutting edge AI/ ML technologies ThinkMD
- Represent technology initiatives at the executive level and to external stakeholders
 
Technical Architecture & Infrastructure
- Design and implement enterprise-wide technical architecture that scales globally
- Build robust data architecture and database management systems
- Ensure security, compliance, and effective risk management across all systems
- Develop and maintain infrastructure that works in varied technological environments
 
Team Leadership
- Build and mentor a high-performing engineering projects teams
- Manage and integrate deliverables from external outsourced engineering teams

- Foster a culture of innovation, continuous improvement, and technical excellencez

- Lead talent acquisition and development strategies

- Balance strategic oversight with hands-on technical guidance

Cross-Functional Collaboration
- Partner with Product, Medical, Commercial and Design teams to deliver exceptional healthcare solutions
- Collaborate across departments to ensure technological alignment with business objectives
- Communicate complex technical concepts effectively to all stakeholders
 
What You Bring
Experience & Education
- Degree(s) in Computer Science, Information Technology, and related field (Master's or Higher preferred)
- Extensive experience in technology leadership with proven success in strategic planning and execution
- Track record of building and scaling technology platforms in challenging environments
- Experience with global deployment, preferably in emerging markets
 
Technical Expertise
- Strong knowledge of IT infrastructure, security frameworks, and enterprise architecture
- Proficiency in modern programming languages and software development practices
- Experience with cloud services, data management, and cybersecurity technologies
- Understanding of healthcare technology and regulatory compliance
- Immersed in all aspects of AI & ML and how best to leverage enhancing products, and internal efficiencies
 
Leadership Qualities
- Strategic vision combined with tactical execution ability
- Exceptional communication and relationship-building skills
- Problem-solving mindset with the ability to navigate complex challenges
- Adaptability and comfort with ambiguity in a fast-paced environment
- Passion for leveraging technology to address global healthcare disparities
 
Success Looks Like
First 3 months: Establish comprehensive understanding of current systems and build key relationships with stakeholders.
First 6 months: Implement improvements in technology infrastructure and successfully lead key initiatives.
Beyond 6 months: Drive significant advancements in organizational technology capabilities and achieve compliance with all relevant standards.
 
What We Offer
- Opportunity to make a meaningful impact on global healthcare inequity
- Collaborative work environment with a mission-driven team
- Competitive compensation and benefits package
- Professional growth and development opportunities
- Flexible work arrangements
 
Requirements
- Ability to work flexible hours across global time zones with global teams
- Legal work rights in your country of residence
- Clean background check
 
Ready to help us impact a billion lives by 2030?
Apply now to join our mission to defeat global healthcare inequity through innovative technology.
 
 ThinkMD is an equal opportunity employer committed to building a diverse and inclusive team. We welcome candidates from all backgrounds who share our passion for using technology to transform healthcare accessibility worldwide.