AI Engineer

Pay Range: $65.00hr - $70.00hr Job Overview: The candidate will lead and actively contribute to the development of scalable Gen AI products, architectures, and cloud-native solutions within an Agile environment. 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, prompt-based applications, and emerging technologies. • Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena. • Optimize performance of AI products, driving 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 while 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. Experience and Skills: • 8+ years of total experience, with 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives. • Proficiency with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques. • Experience with Agentic AI, MCP, and Graph/RAG architectures. • Experience with Gen AI Frameworks such as LangChain, LlamaIndex, and Amazon Bedrock. • Hands-on web application development experience using Next.js, React, and TypeScript/JavaScript. • Strong knowledge of AWS cloud services including EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, and Lake Formation. • Proficiency with Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments. • ETL orchestration experience using Apache Airflow and DAGs. • Experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization. • Advanced Python programming skills (NumPy, Pandas, Matplotlib, Boto3). • Experience with automated testing frameworks such as Ragas, Playwright, Zephyr, and 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 with BI tools such as QuickSight and Tableau. • Knowledge of financial markets and enterprise data systems. Education: • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.