AI Application Engineer

Note-

5 years experience with 6 months or more experience working with Claude. Some Compliance experience within FS preferred but even without is fine. Someone who can drive projects through based on passion and ability to develop quickly on Claude.

We are seeking a highly skilled AI Development Engineer to design build and deploy advanced Claude -stack based solutions that power next generation products and internal platforms. This role is ideal for someone who thrives at the intersection of software engineering AI application and business outcomes. You will work closely with cross functional teams to translate business needs into scalable production ready systems leveraging AI for coding.

Key Responsibilities

• Develop leveraging Claude for real world applications.
• Build scalable data pipelines and model serving infrastructure for high performance AI systems.
• Collaborate with product engineering and research teams to define technical requirements and deliver end to end AI solutions.
• Implement and maintain MLOps workflows including model versioning monitoring and continuous improvement.
• Conduct experiments evaluate model performance and apply state of the art techniques to improve accuracy and efficiency.
• Integrate AI models into production environments using APIs microservices or cloud native architectures.
• Stay current with emerging AI technologies frameworks and best practices.

Required Qualifications

• Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
• 3 years of experience in AI/ML engineering software development or applied machine learning.
• Strong experience and passion of at least 6 months with Claude
• Strong proficiency in Python and ML frameworks such as TensorFlow PyTorch Scikit learn or similar.
• Experience with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
• Solid understanding of data structures algorithms and distributed systems.
• Hands on experience with model deployment inference optimization and API development.
• Familiarity with NLP computer vision generative AI or LLM fine tuning is a plus.

Preferred Qualifications

• Some exposure to Compliance requirements within the Asset Management / Hedge Fund industry
• Experience with vector databases retrieval augmented generation (RAG) or LLM orchestration frameworks.
• Knowledge of MLOps tools such as MLflow Kubeflow SageMaker or Vertex AI.
• Background in reinforcement learning generative modeling or multimodal AI.
• Contributions to open source AI/ML projects.