Senior Python Engineer – LLM / Agentic AI / MCP (Remote, U.S. Only)

Job Type:Contract (6 months, potential full-time conversion) Location:100% Remote (must work from the U.S., East Coast hours) Citizenship:U.S. Citizen or Green Card holder only About the Role We are hiring aSenior Python Engineerto develop next-generationLLM and Agentic AI applicationsfor a leading financial institution. You’ll buildRAG pipelines,Model Context Servers (MCP), andAI-powered workflowsusingAWS Bedrock, Claude Sonnet, LangGraph, andSnowflake. This role is ideal for an engineer passionate about buildingenterprise-grade, secure, and intelligent AI systemsin Python. Key Responsibilities • Design and developLLM-powered and agentic AI applicationsusing LangGraph, AWS Bedrock, and Claude Sonnet. • BuildRetrieval-Augmented Generation (RAG)pipelines and integrate enterprise data sources. • DevelopModel Context Protocol (MCP)services and context servers using theFAST MCP API in Python. • ImplementLambda-based data workflowsfor ingestion, retrieval, and AI context management. • Integrate applications withSnowflakefor structured and unstructured data pipelines. • BuildStreamlit-based interfaces for human-in-the-loop interactions and internal chatbot tools. • Collaborate with cross-functional technology and compliance teams to deliver secure, auditable AI solutions. • Ensure adherence tofinancial industry security and compliance standards. Qualifications • 8+ yearsof experience in Python, data engineering, or AI solution development. • Proven experience withLarge Language Models (LLMs)andAgentic AI frameworks(LangGraph, LangChain, Strands). • Experience building or integratingModel Context Protocol (MCP)or similar context management frameworks. • Hands-on experience withAWS Bedrock,Claude Sonnet, andAWS Lambda. • Strong knowledge ofSnowflake,S3,Glue, andSageMaker or equivalent • Experience developingStreamlitor similar applications for internal users. • Excellent communication skills and ability to collaborate across technical and business teams. Preferred Experience • Financial services or fintech background. • Knowledge ofvector databases,semantic retrieval, andembedding pipelines. • Experience withagent orchestration frameworks(CrewAI, AutoGen, Swarm, n8n). • Understanding ofCI/CD automation,Terraform, orcontainerized deployments (ECS). Assessment Requirement All candidates must complete atechnical assessmentbefore interview consideration. • Focus:Python proficiency (70%),AI/MCP/Agentic technologies (30%) • Minimum passing score:95% • Do not apply • if you are not willing to take the assessment. Additional Details • Contract Duration:6 months (C2C or W2 accepted) • Conversion:Full-time opportunity after 6 months (based on performance) • Work Hours:Must align with U.S. East Coast hours • Work Location:Must reside and work within the United States • Sponsorship:Not available (No H-1B or visa transfers) Job Type: Contract Pay: $75.00 - $90.00 per hour Expected hours: 40 per week Work Location: Remote