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 ProgrammingFoundational Models: Gemini, OpenAI, Claude, Llama, Local ModelsMachine Learning: PyTorch, TensorFlow, Fine-tuning AI Frameworks: Google’s ADK, LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph , Multi-Agent SystemsRetrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced RetrievalDeployment: Docker, Production APIs, MonitoringApplied 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. ------------------------------------------------------
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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