- 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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