Senior AI Engineer

• Design, develop, and deploy Agentic AI solutions using modern AI frameworks
• Integrate structured and unstructured data sources into GenAI systems to expand capabilities and generate actionable insights
• Leverage MCP tooling to ingest and manage diverse datasets for agent-based applications
• Collaborate with cross-functional teams to define and deliver new GenAI use cases
• Build and maintain robust APIs and data pipelines for efficient data processing and model interaction
• Stay up to date with advancements in Generative AI and Large Language Models (LLMs) and apply relevant innovations
• Document system architectures, experiments, and processes to support reproducibility and knowledge sharing
• Optimize AI solutions for scalability, performance, and responsible/ethical use
• Write unit tests and participate in code reviews to ensure high-quality, maintainable code
• Continuously evaluate emerging tools, frameworks, and methodologies in AI and apply them to improve systems
• Experience with MLOps, infrastructure-as-code tools (e.g., Terraform, Ansible, CloudFormation), or CI/CD platforms (e.g., GitLab)
• Hands-on experience with Generative AI, LLMs (e.g., LLaMA), and RAG architectures

This role involves designing, developing, and deploying cutting-edge Generative AI (GenAI) systems, integrating diverse data sources, and collaborating closely with Product, Data, Engineering, and Compliance teams. The ideal candidate is passionate about AI, highly self-motivated, and committed to building scalable, responsible, and high-performance AI solutions., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field

• 5+ years of programming experience, with strong proficiency in Python
• Proven experience designing and deploying machine learning, GenAI, or LLM-based solutions
• Strong analytical, problem-solving, and critical-thinking skills
• Experience integrating both structured and unstructured data into AI/ML systems
• Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face
• Experience building and maintaining data pipelines and RESTful APIs
• Solid understanding of data structures, algorithms, and system architecture
• Experience with containerization tools such as Docker and Kubernetes
• Experience with cloud platforms (e.g., AWS) for deploying AI/ML workloads

My client, an established investment management firm, is seeking a Senior AI Software Engineer to join their Tooling and Automation team. This team is focused on building advanced Agentic AI solutions that enhance how artificial intelligence is used to generate insights and drive automation across the organization.