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We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.
Responsibilities:
- Design, develop, and maintain full-stack Python applications with modern frontend frameworks
- Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
- Create and implement efficient vector databases and knowledge stores
- Develop APIs that connect frontend interfaces with backend AI services
- Implement and maintain CI/CD pipelines for AI applications
- Monitor application performance and troubleshoot issues in production
Mandatory Skills:
Artificial Intelligence (AI)
Mandatory Skills Description:
• Minimum of 6 to 9 years of experience to implement the solution
• Skills Required
:- Multi-Agent System Design & Orchestratio
n- Full-stack AI Integration (Frontend to Backend
)- Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex
)- Advanced Prompt Engineering & LLM Fine-tunin
g- Agentic Retrieval Augmented Generation (RAG
)- AI Safety, Guardrails & Governanc
e- Enterprise Application Integration & AI Orchestratio
n- Semantic Modeling & Knowledge Graph Constructio
n- High-Scale Vector Database Managemen
t- LLM Observability, Evaluation & Monitoring (LLMOps
)
• Main Technologie
s:- Python (FastAPI / Pydanti
c)- LangChain & LangGra
ph- Edio & Render (Deployment & Hostin
g)- Streamlit & Gradio (UI/UX for A
I)- OpenAI & Open-Source Models (Llama 3, Mistra
l)- Vector Databases (Pinecone, Milvus, Weaviat
e)- Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Stud
io- LLM Monitoring Tools (LangSmith / Arize Phoeni
x)Nice-to-Have Skills Descriptio
n:Tesseract OCR (nice to hav
e)Job ID: 150661769
Skills:
Machine Learning, Microservices, Nlp, Pytorch, Docker, Python, AWS, Apis, Sql, Deep Learning, Gcp, MLops, Azure, Kubernetes, embeddings, vector databases, LangGraph, RAG prompt engineering, evaluation frameworks, LLM architectures, LangChain, Monitoring, AI agents, LlamaIndex, model serving
Skills:
Machine Learning, Microservices, Nlp, Pytorch, Docker, Python, AWS, Apis, Sql, Deep Learning, Gcp, MLops, Azure, Kubernetes, embeddings, vector databases, LangGraph, RAG prompt engineering, evaluation frameworks, LLM architectures, LangChain, Monitoring, AI agents, LlamaIndex, model serving
Skills:
AI ML, Sql, Nosql, Data Quality, Data Extraction, Python, AI Data Engineering, Data Manipulation and Transformation frameworks, AI Governance, AI document processing, Cloud-based AI Platform infrastructure, AI workflow automation, AI Solutions Development, Business Intelligence
Skills:
Restful Services, Computer Vision, Deep Learning, Machine Learning, MySQL, Python, Kubernetes, Docker, Apis, MongoDB, Spark, Azure DevOps, Azure machine learning service, Optimization, Amazon Sagemaker, Generative AI, Google Cloud AI
Skills:
Java, Golang, Apis, Microservices, Distributed Systems, Testing Frameworks, Kubernetes, Python, LLMs, Cloud platforms, Scalable backend services, Agentic AI systems, Developer tooling, Event-driven architectures
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