Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
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- Design, develop, and deploy AI-driven applications and agentic workflows
- Build and integrate multi-agent systems to automate engineering processes
- Develop full-stack applications using Python (frontend & backend)
- Work across the full Agile development lifecycle (design development production)
- Collaborate with cross-functional teams to deliver enterprise-grade solutions
- Integrate AI solutions with internal platforms such as ServiceNow, CMDB, and JIRA
- Contribute to improving engineering and operational excellence standards
- Provide technical guidance and AI expertise across teams
Required Qualifications:
- 10+ years of software engineering experience
- 7+ years of strong hands-on experience with Python (full-stack development)
- 2+ years of experience in AI/Generative AI engineering
- 5+ years of experience with AWS
- Strong experience with: LLMs (GPT models) and AI application development
- Agentic AI frameworks (e.g., LangChain, LangGraph)
- RAG (Retrieval-Augmented Generation) architectures
- Hugging Face Transformers, PEFT
- LLM orchestration frameworks
- Experience building scalable, production-ready applications
- Strong understanding of system design and backend architecture
Preferred Qualifications:
- Experience with LLM fine-tuning (nice to have)
- Familiarity with CI/CD pipelines
- Prior experience working with Capital One (highly preferred)
- Experience building multi-agent AI systems
- Exposure to enterprise integrations and large-scale platforms
For applications and inquiries, contact: [email protected]
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