Generative AI Engineer

🚀Job Vacancy: Generative AI Engineer 

🌆 Location: Columbia - 100% Remote
⏰ Contract: B2B, Full-Time 

Role Summary:

We are looking for a motivated Generative AI Engineer to work alongside our team on the sleep apnea project. This role involves building knowledge graphs, designing graph-based AI systems, and implementing generative AI solutions. The ideal candidate will have a strong foundation in graph theory, machine learning, and data engineering, with a willingness to learn advanced techniques and tools.

Key Responsibilities:

• Build and maintain knowledge graphs using graph databases like Neo4j, leveraging Cypher or Gremlin for queries.
• Process forum data into structured formats and offload it to graph databases using ETL tools.
• Develop and implement graph-based AI to convert questions/answers into a graph structure and vice versa.
• Collaborate on training AI assistants capable of answering forum queries based on the built knowledge engine.
• Learn and apply AWS Bedrock and SageMaker for deploying machine learning models.
• Work on small-scale optimization models for sleep pattern analysis and machine setups.

Qualifications and skills:

• Strong background in maths, statistics, and graph theory (degree centrality, eigenvalues, eigenvectors, Dijkstra's algorithm, etc.).
• Expertise in Generative AI, including vectorization, embeddings, multi-modal AI, prompt engineering, and frameworks like LangChain and LangGraph.
• Hands-on experience with graph databases (e.g., Neo4j, PG Vector, Milvus) and traversal/query languages (Cypher, Gremlin).
• Knowledge of retrieval-augmented generation (RAG) techniques with a focus on graphs.
• Proficiency in Python and libraries like Polars, Scikit-Learn, Pandas, and Numpy.
• Familiarity with regressive optimization techniques such as Logistic Regression, Bayesian Optimization, and ARIMA.
• Basic knowledge of anomaly detection and covariate shift detection techniques.
• Understanding of FastAPI and microservice development.
• Experience with Docker for containerized deployments.
• Strong data engineering skills, including large pipeline processing, multiprocessing, and multithreading.

Nice-to-Have Skills:

• Familiarity with vector databases like Pinecone, ChromaDB, or Milvus.
• Basic understanding of out-of-distribution analysis and semantic similarity techniques.
• Experience with multi-modal AI systems.

Utilization:

• Work alongside senior team members to develop and implement graph AI and the knowledge engine.
• Build and optimize systems for transferring scraped knowledge into target platforms.
• Learn optimization techniques for sleep patterns and machine setups to scale the project’s impact.

ABOUT KOLOMOLO

Kolomolo is a global leader in digital solutions, renowned for pushing tech boundaries. As we continue to grow, we’re seeking an experienced Generative AI Engineer to join our agile, forward-thinking team.

What sets us apart

At Kolomolo, we break the corporate mold. 

We offer:

• Agile Teams & Autonomy: No micromanagement. You’ll own your projects and enjoy the freedom to innovate.
• Work-Life Harmony: Inspired by Scandinavian values, we prioritize balance and flexibility—remote work and asynchronous collaboration are in our DNA.
• Learning & Growth: Continuous learning is at our core. We reward hard work, value smart ideas, and foster an environment of mutual respect and trust.
• Inclusive Culture: We believe in working hard and playing harder! Our team is passionate, supportive, and fun-loving.

Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.

Ready for the next step? Apply now and start an exciting journey of growth and innovation with us!