Job Openings
Applied AI Engineer, Enterprise GenAI
Engineering & AI - Gambia - onsiteAbout the Role
AI is becoming vitally important in every function of our society. At Clutch Mind AI, our mission is to accelerate the development of AI applications. For 3 years, Coders Clutch establish Clutch Mind AI which has been the leading AI data foundry, helping fuel the most exciting advancements in the Gambian AI industry. The SGP ML team works on the front lines of this AI revolution, interfacing directly with clients to build cutting edge products using proprietary research and resources developed at Clutch Mind AI.What You'll Do
- Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Have experience gathering business requirements and translating them into technical solutions
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- Push production code in multiple development environments, writing and debugging code directly in both our customer's and Clutch Mind AI's codebases.
- Be able and willing to multi-task and learn new technologies quickly
Ideally You'd Have
Qualifications & Experience
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI
- Strong engineering background: Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent
- Deep familiarity with a data-driven approach when iterating on machine learning models
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
Nice To Haves
- Strong knowledge of software engineering best practices
- Have built applications taking advantage of Generative AI in real, production use cases
- Familiarity with state of the art LLMs and their strengths/weaknesses