GEN AI Engineer

GEN AI Engineer Immediate need for a talented GEN AI Engineer. This is a 06 Months Contract opportunity with long-term potential and is located in Bethesda, MD (Remote). Please review the job description below and contact me ASAP if you are interested. Job ID:26-27648 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Solution Engineering: Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices. LLM and Agentic AI: Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support. Framework Expertise: Design and deploy AI solutions using leading frameworks such as Lang Chain, Lang Graph, and n8n for scalable agent orchestration, workflow automation, and integration with business systems Model Context Protocol (MCP): Develop, integrate, and manage MCP-based solutions to enhance model interpretability, context management, and deployment at scale. Cloud and Data Engineering: Leverage AWS and Client to build scalable, secure, and efficient data pipelines for structured and unstructured data. Collaboration: Partner with cross-functional teams, including other technology, business, risk, legal, and compliance stakeholders, to deliver integrated solutions. Innovation: Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation. Governance and Compliance: Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry. Mentorship: Provide technical leadership and mentorship to junior team members. Key Requirements and Technology Experience: Must have skills: Generative AI, Python, AWS Bedrock Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures. Hands-on experience with LLM deployment, fine-tuning, and integration. Advanced proficiency in Python programming with the ability to design, develop, test, and troubleshoot production-grade AI/ML applications and reusable frameworks. Proficiency in agentic AI design patterns and implementation. Expertise in Model Context Protocol (MCP) for context-aware model deployment and management. Strong knowledge of Client, AWS, and advanced data modeling. Experience with data governance, security, and compliance best practices. Excellent communication, collaboration, and presentation skills. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 8 years of experience in data engineering, AI solution development, or related roles. Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP). Good working experience developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration. Hands-on experience building AI applications using Python frameworks such as Lang Chain, Llama Index, Fast API, and AWS/Open AI SDKs. Strong experience with Client and AWS services (Glue, S3, Lambda, Sage Maker, etc.). Experience in the financial services or mortgage industry is preferred. Our client is a leading Banking Industry and we are currently interviewing to fill this and other similar contract positions. Pyramid Consulting