AI Engineer – Global Markets
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Key skills for this role
About the Role
DICETEK LLC seeks an AI Engineer to design, develop, deploy, and support AI-driven solutions in the Global Markets domain. The role requires 8+ years of AI/ML engineering experience with recent focus on GenAI and agentic AI, hands-on experience with AWS/Azure, and proficiency in Python, LangChain, and MLOps tools.
Key Skills for This Role
Responsibilities
- Collaborate with business and technology stakeholders to understand analytical needs and translate them into AI solutions
- Design and implement AI/ML pipelines, including data ingestion, model training, evaluation, and deployment
- Develop and maintain GenAI and agentic AI applications using modern frameworks and cloud native tools
- Ensure solutions are aligned with enterprise AI governance, security, and compliance standards
- Provide production support and continuous improvement for deployed models and applications
- Contribute to knowledge sharing and capability building within the team
Requirements
- 8+ years of experience in AI/ML engineering, with recent focus on GenAI and agentic AI
- Hands on experience on AWS and Azure
- Hands on experience with CrewAI, LangChain, LangGraph, RAG pipelines, and LLM fine tuning
- Strong programming skills in Python and experience with FastAPI, REST APIs, and microservices
- Proficiency in cloud platforms (AWS, Azure) and MLOps tools (Vertex AI, SageMaker, MLflow)
- Experience with DevOps practices including CI/CD, containerization (Docker), and infrastructure as code (Terraform, CloudFormation)
- Familiarity with vector databases (e.g., FAISS, ChromaDB) and graph based reasoning (e.g., Neo4j)
- Bachelor's degree in information systems or related field
Full Job Posting
Role Overview
- The AI Engineer will be responsible for the design, development, deployment, and support of AI driven solutions within the Global Markets domain.
- The role requires strong technical expertise in machine learning, generative AI, and agentic AI frameworks, with a focus on delivering scalable, secure, and future proof solutions aligned with enterprise architecture standards.
General Expectations
- Collaborate with business and technology stakeholders to understand analytical needs and translate them into AI solutions.
- Design and implement AI/ML pipelines, including data ingestion, model training, evaluation, and deployment.
- Develop and maintain GenAI and agentic AI applications using modern frameworks and cloud native tools.
- Ensure solutions are aligned with enterprise AI governance, security, and compliance standards.
- Provide production support and continuous improvement for deployed models and applications.
- Contribute to knowledge sharing and capability building within the team.
- Respect timelines.
- Good communication skills.
Skillset and Experience
- 8+ years of experience in AI/ML engineering, with recent focus on GenAI and agentic AI.
- Hands on experience on AWS and Azure.
- Hands on experience with CrewAI, LangChain, LangGraph, RAG pipelines, and LLM fine tuning.
- Strong programming skills in Python and experience with FastAPI, REST APIs, and microservices.
- Proficiency in cloud platforms (AWS, Azure) and MLOps tools (Vertex AI, SageMaker, MLflow).
- Experience with DevOps practices including CI/CD, containerization (Docker), and infrastructure as code (Terraform, CloudFormation).
- Familiarity with vector databases (e.g., FAISS, ChromaDB) and graph based reasoning (e.g., Neo4j).
- Exposure to financial services or Global Markets, specifically Murex is a plus.
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