AI Engineering - Associate

AI Engineering – Associate

B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 4-7 years of proven experience, or equivalent experience, for Associate positions and 8-12 years, or equivalent experience, for Vice President or Technical Architect positions.
Strong proficiency and hands-on experience in object-oriented programming with Java and Python.
Experience building applications using LLM frameworks such as LangChain, Llama Index, and Semantic Kernel.
Familiarity with event-driven architecture and messaging frameworks like Kafka.
Proficiency in designing and building scalable APIs and Microservices.
Experience with cloud platforms such as Azure (*Preferred*), AWS, or GCP.
Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with relational databases and NoSQL databases like Apache Cassandra.
Experience working in Agile development teams.
Excellent collaboration skills.

Design and build the next generation of the world’s best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.
Leverage existing AI/ML infrastructure to develop new platform services.
Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.
Work with team members in a multi-office, multi-country environment.
Refine business and functional requirements and translate them into scalable technical designs.
Apply quality software engineering practices throughout the software development lifecycle.
Conduct code reviews, perform unit, regression, and user acceptance testing, and provide level two production support to ensure resilience and stability.

Experience with ML model training and fine-tuning.
Understanding of prompt engineering and prompt tuning.
Knowledge of ML model evaluation to ensure consistent performance with changing data.
Familiarity with MLOps and ML model lifecycle pipelines.