REQUIRED QUALIFICATIONS & SKILLS

Technical Expertise

• Advanced proficiency in Python, Git/GitHub, and API development
• Hands-on experience with:
• LLMs, prompt engineering, and fine-tuning
• RAG pipelines, embeddings, vector databases, LangChain
• Multi-agent systems (e.g., CrewAI) and memory management
• MLOps, CI/CD, Docker, cloud deployment, and API security
• Strong grasp of software engineering fundamentals: testing, EDA, model evaluation

Experience

• 2 - 4+ years in software engineering and AI/ML product development
• Track record of taking AI products from concept to deployment
• Experience in startup or fast-paced, project-based environments

Soft Skills & Mindset

• Excellent communicator and collaborator, with cross-cultural sensitivity
• Proactive problem solver with a hands-on “doer” mentality
• Adaptable, curious, and eager to learn alongside entrepreneurs
• Passionate about excellence, creativity, and innovation

To Apply

• Submit your resume/CV to emily@meltwater.org with “Technical Fellow In-Residence” in the subject line for initial review
• Initial Phone Interview — discuss your background, experience, and career goals
• Interactive Assessment — shortlisted candidates complete a technical task
• Final Interview — meet with key decision-makers for an in-depth discussion
• Job Offer & Next Steps — successful candidates receive offer details and onboarding plan

Due to high application volume, only shortlisted candidates will be contacted. If you do not hear from us within one month of applying, please consider your application unsuccessful

TECHNICAL FELLOW IN-RESIDENCE ROLE OVERVIEW

The AI Technical Fellow In-Residence is the technical backbone of the MEST AI Startup Program each year. During this one-year contract, you will work directly with entrepreneurs-in-training (EITs) to ensure they can apply the technical concepts taught in the curriculum — from AI model development to deployment. This is a highly hands-on, highly interactive role that includes regular meetings with EITs, experts, partners, facilitators, and program staff to collaborate, troubleshoot, and accelerate learning.
You should have deep technical expertise, a passion for AI, and an excitement for learning alongside entrepreneurs. This is a role for a doer — someone who thrives in a fast-paced, high-energy environment and is ready to dig in.

KEY RESPONSIBILITIES

Technical Training & Support

• Deliver interactive tutorials and workshops on AI/ML, software engineering, and MLOps topics from the curriculum (e.g., Python, APIs, LLMs, RAG, LangChain, vector databases, multi-agent systems, Docker, CI/CD)
• Provide 1:1 and group technical coaching, ensuring entrepreneurs can implement concepts in their MVPs
• Conduct code reviews and guide participants in adopting best practices

Curriculum Integration

• Work with expert facilitators to align technical sessions with business and product milestones
• Adapt and create technical content based on evolving AI tools and participant needs

Problem-Solving & Mentorship

• Support entrepreneurs in debugging and overcoming technical challenges
• Learn and experiment with new AI tools alongside participants, sharing insights rapidly
• Promote responsible AI use, including bias mitigation, privacy by design, and ethical considerations

Collaboration & Program Support

• Partner with program staff to ensure participants have the technical resources they need
• Contribute to creating a dynamic, inclusive, and innovative learning environment
• Actively engage in scheduled check-ins, collaborative planning meetings, and review sessions with EITs and program stakeholders