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. If you are interested in this position, please apply online for immediate consideration.
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