Sr. AI Engineer - Early-Team Building Agents to Fix The $1.03 Trillion Grant Funding Ecosystem

*"I probably spend 60% of my time trying to get grant funding, 30% lecturing, and only around 10% of my time is reamining for me to pursue my research" - Dr. Michael Sacks, Professor of Biomedical Engineering at The University of Texas

When we spoke to Dr. Sacks he told us a story of frustration and struggle, where his work (despite it's relevance) was constantly threatened by what seemed like an impossible process for securing the grant funding needed to support his lab.

Dr. Sacks strives everyday to further our understanding of the human heart. His work impacts every human being with a heartbeat.
Imagine what the world would look like if we made it possible for him to 10x the amount of time he spends on his research?

Now imagine the impact to society if we could do that for every person striving to change the world?

That's what we're building at Grantx!
www.grantx.io

Role Overview:
We are seeking a high-performing engineer with ambition, focus, and experience building innovative products. As a key member of the early team, you will be responsible for helping inform and execute the technical vision, driving the development process, and ensuring the successful delivery of our products. Our team possesses solid experience building AI-enabled products, but is in need of a specialist to lead the effort towards a more agentic product offering.
You'll have the opportunity to lead the effort to take a more agentic approach for building a software solution to address a key problem that is significantly impacting society.
This role requires a background in data science, applied machine learning, cloud-native applications, and a deep understanding of NLP, LLM's, and RAG along with strong communication and collaboration skills.

Key Responsibilities:

High-Performance & Pace: Joining a team of 4 highly motivated and productive engineers in the development of post-launch beta.
AI Leadership: Drawing upon previous experience studying/building AI-enabled products to lead focus on building out an agential offering.
Product Management: Work closely with the founding team to define product requirements, iterate roadmaps, and prioritize features based on user feedback and market trends.
Implementation: Develop and implement core components of the product, including natural language processing, machine learning models, generative AI, retrieval-augmented generation, and web scraping mechanisms.
Quality Assurance: Establish best practices for code quality, automated/manual testing, and deployment to ensure a robust and scalable product.

Qualifications:

• Current stack is React, FastAPI, Python, Postgres/SupaBase, hosted on GCP.
• Minimum of 3 years of profesisonal experience in software development.
• Proficiency in programming languages such as Python, JavaScript, HTML/CSS, or similar, and experience with relevant frameworks and libraries (e.g.,LangChain, TensorFlow, PyTorch, Hugging Face).
  • Experience with web scraping, data extraction, establishing datapipelines, and integration of data from various online sources.
• Familiarity with retrieval-augmented generation and its applications in search and information retrieval.
• Experience with or knowledge of DevOps/MLops architacture design
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.
• Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
• A passion for innovation and a commitment to staying up-to-date with the latest advancements in AI and technology.

What We Offer:
Equity stake in the company + salary to be negotiated following our upcoming round.
The opportunity to shape the future of a product that will make an impact across industries.
A collaborative and inclusive work environment with a focus on innovation and growth.
Flexibility in work location and hours.