• Strong expertise with 10+ years in microservices, RESTful APIs, and distributed architectures.
• Experience in the following AI/ML technologies
  • Development: Python, FastAPI, Java, Spring AI, Async Programming
  • Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
  • Machine Learning: PyTorch, TensorFlow, Fine-tuning
  • AI Frameworks: Google’s ADK, LangChain, LlamaIndex, Hugging Face
  • Orchestration: LangGraph, Multi-Agent Systems
  • Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
  • Deployment: Docker, Production APIs, Monitoring
  • Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization
• Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies.
• Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP).
• Familiarity with React or Angular, TypeScript, and modern front-end frameworks.
• Strong understanding of SAFe Agile framework and enterprise-scale agile delivery.
• Knowledge of DevOps, CI/CD, container orchestration, and observability tools.
• Experience in large-scale financial services enterprise environments.
• Excellent communication, stakeholder management, and executive reporting skills.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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