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About this role:
As a Senior AI Developer (GenAI) you will design and build production-grade Generative AI systems for large-scale enterprise document ecosystems.
What you'll do:
• Build enterprise GenAI applications (chatbots, copilots, assistants)
• Design and own end-to-end RAG pipelines (ingestion retrieval generation)
• Engineer scalable document processing across PDF, DOC, HTML, and more
• Implement agentic AI workflows and tool-based orchestration
• Build and optimize vector search & hybrid retrieval systems
• Improve grounding, relevance, and hallucination control in production
• Integrate and optimize LLMs via AWS Bedrock / Azure OpenAI
• Focus on token efficiency, latency, streaming, and cost optimization
• Develop production-ready APIs using FastAPI
• Deploy and scale GenAI services on AWS
What we're looking for:
• Total 6 years plus experience.
• Strong hands-on experience building GenAI systems from scratch.
• Deep experience with RAG, embeddings, and vector databases
• Solid backend engineering and cloud-native expertise
• Production mindset: monitoring, reliability, and observability
This is a builder role — not research or analytics
Job ID: 148900199
Skills:
Node.js, Cloud deployment, Typescript, Docker, Sailpoint, Python, AWS, Linux Server Administration, structured output extraction, Anthropic Claude, Saviynt, Google Gemini, identity platforms, REST API design, prompt engineering, workflow orchestration platforms, agentic AI architectures, LLM APIs, JSON schema manipulation, OpenAI
Skills:
Tensorflow, Numpy, Git, Pandas, Pytorch, Docker, Terraform, Azure, Python, Kubernetes, LLMs, scikit-learn, RAG, Bicep
Skills:
Java, Enterprise Security, Python, LangChain, cloud AI APIs, vector databases, Pinecone, prompt engineering, Google Cloud Vertex AI, ADKs, Anthropic models, compliance standards, SDKs, Weaviate, LlamaIndex, Vertex AI Vector Search, RAG architectures, Ai Development
Skills:
Docker, Linux, MongoDB, Python, Angular, RAG Retrieval-Augmented Generation, Generative AI, FAISS, Pinecone
Skills:
PostgreSQL, Tensorflow, Django, Git, Pytorch, Gcp, MySQL, Flask, MongoDB, FastAPI, Rest Apis, Azure, Python, AWS, LangChain, Hugging Face, microservices architecture, OpenAI, AI tools and technologies
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