Note: The job is a remote job and is open to candidates in USA. Glint Tech Solutions is a global staffing and IT recruiting firm connecting technical talent with enterprise clients. The company is seeking a Senior AI Engineer to design, build, and deliver scalable production Generative AI products using Python, React, AWS, LLM pipelines, RAG, agentic systems, and modern AI frameworks. The role also leads delivery, optimizes performance, manages cloud-native infrastructure and data pipelines, and contributes to the organization’s AI roadmap.
Responsibilities
- Design, architect, and build scalable Gen AI solutions including LLM pipelines, Agentic AI, MCP, Graph/RAG architectures, and prompt-based applications
- Lead end-to-end delivery of production-ready AI products using Python, React/Next.js, and AWS
- Implement cloud-native solutions across AWS EKS, Lambda, Fargate, Glue, and Athena
- Leverage Gen AI frameworks including LangChain, LlamaIndex, and Amazon Bedrock
- Design and optimize vector and graph database solutions — Weaviate, Milvus, PGVector, Neo4J, Neptune
- Build and orchestrate ETL pipelines using Apache Airflow/DAGs
- Optimize AI product performance and drive continuous experimentation with cutting-edge Gen AI methods and toolchains
- Serve as SME on Gen AI technologies and actively contribute to shaping the organization's AI roadmap
- Own timelines, deliverables, and project milestones using Agile Scrum/Kanban practices
- Monitor operational metrics and incident data to drive continuous improvement and reliability
- Ensure adherence to DevSecOps protocols, governance standards, and SDLC best practices
Skills
- 7+ years of progressive engineering experience with 1–2 years leading AI or emerging tech initiatives
- Hands-on expertise with Gen AI models — GPT, Claude, Gemini, LLaMA — and advanced prompt engineering
- Strong experience with Agentic AI, MCP, and Graph/RAG architectures
- Proficiency in Gen AI frameworks — LangChain, LlamaIndex, Amazon Bedrock
- Web development proficiency in Next.js, React, and TypeScript/JavaScript
- Deep AWS expertise — EC2, EKS, Fargate, Lambda, Athena, Glue, Lake Formation
- Infrastructure as Code experience — Terraform, Docker, Puppet
- Strong Python programming skills — NumPy, Pandas, Matplotlib, Boto3
- Vector and graph database experience — Weaviate, Milvus, PGVector, Neo4J, Neptune
- ETL orchestration experience using Apache Airflow/DAGs
- Experience with automated testing frameworks — Ragas, Playwright, Selenium, Zephyr
- Familiarity with LLM fine-tuning techniques
- Strong understanding of SDLC best practices, DevSecOps, and Agile Scrum/Kanban
- Experience with JIRA, Confluence, and JIRA Align
- Experience with BI tools such as QuickSight or Tableau
- Knowledge of financial markets and enterprise data systems
- Background working in highly regulated or enterprise-scale environments
Company Overview
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