Pay Range: $65.00hr - $70.00hr

Job Overview:

The candidate will lead and actively contribute to the development of AI products, pilots, and solutions, focusing on clean, maintainable code using Python, React, and AWS tools. The successful candidate will design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, and Graph/RAG architectures, while acting as a subject matter expert to help shape the organization's AI roadmap.

Responsibilities:

- Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
- Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.
- Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
- Optimize performance of AI products; drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
- Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
- Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.
- Own end-to-end delivery of Gen AI solutions, managing timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
- Monitor operational metrics and incident data to drive continuous improvement and reliability.




- Ensure adherence to governance and DevSecOps protocols.

Requirements:

- 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
- Experience with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques.
- Experience with Agentic AI, MCP, and Graph/RAG architectures.
- Proficiency with Gen AI Frameworks (LangChain, LlamaIndex, Amazon Bedrock).
- Web application development experience using Next.js, React, and TypeScript/JavaScript.
- Experience with AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation).
- Experience with Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments.
- Experience with ETL orchestration using Apache Airflow/DAGs.
- Experience with Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune) and query optimization.
- Robust Python programming skills (NumPy, Pandas, Matplotlib, Boto3).
- Experience with automated testing frameworks (Ragas, Playwright, Zephyr, Selenium).
- Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
- Knowledge of LLM fine-tuning techniques.
- Experience in BI tools like QuickSight or Tableau.
- Knowledge of financial markets and enterprise data systems.

Education:

Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

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