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Gen AI Developer (Contract)
Saaki Argus And Averil Consulting
IND
Onsite
Discovered 1 weeks ago
Generative AILarge Language ModelsPythonRAGBackend APIsMicroservices
Free
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Generative AILarge Language ModelsPython
Role Overview
Develop scalable GenAI applications using LLMs, RAG, and agent-based architectures.
Build production-ready enterprise AI solutions, APIs, microservices, and foundation-model integrations.
Key Skills for This Role
Generative AILarge Language ModelsPythonRAGBackend APIsMicroservices
Full Job Posting
Role overview
Develop scalable GenAI applications using LLMs, RAG, and agent-based architectures.
Build production-ready enterprise AI solutions, APIs, microservices, and foundation-model integrations.
Core responsibilities
- Develop and optimize Python backend APIs and microservices.
- Build RAG pipelines covering document ingestion, preprocessing, chunking, embeddings, retrieval, and indexing.
- Work with vector databases for semantic search and context retrieval.
- Develop LLM applications using LangChain, LangGraph, and LangFuse.
- Deploy LLM solutions with Amazon Bedrock and integrate foundation models into enterprise applications.
- Design AI agents with tool calling, workflow orchestration, memory, and multi-step reasoning.
- Develop system prompts and context-engineering strategies to improve application quality.
- Implement SSO-based authentication and authorization.
- Containerize applications with Docker and support scalable deployment.
- Implement monitoring for APIs, LLM applications, model performance, latency, failures, and usage.
- Optimize performance, scalability, reliability, security, and cost efficiency.
- Troubleshoot production issues and continuously improve deployed GenAI applications.
Required experience and knowledge
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