SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.
Responsibilities:
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Design, implement, and scale core AI capabilities and agent workflows for the Dev Team Assistant (DTA) platform.
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Build and refine intelligent routing, dynamic agent coordination, and multi-assistant orchestration patterns.
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Optimize response quality, inference latency, system throughput, and RAG retrieval accuracy.
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Take ownership of key technical decisions and define the long-term AI application architecture.
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Integrate newly developed domain-specific assistants and external enterprise services into the central platform.
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Implement robust AI observability, automated evaluation pipelines, and DevSecOps best practices.
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Act as a senior technical mentor and sparring partner in an agile, cross-functional delivery team.
Skills
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Strong hands-on software engineering background in Python.
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Production experience building LLM-powered applications, multi-agent systems, and enterprise RAG architectures.
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Framework expertise with LangGraph and/or LangChain for stateful workflow orchestration.
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Practical experience evaluating, benchmarking, and optimizing LLM and agent outputs.
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Building and deploying high-performance APIs using FastAPI.
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Cloud deployments using Azure OpenAI Service and Azure Web Apps.
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Proactive problem-solving skills in emerging tech areas without established playbooks.
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Professional working proficiency in English with transparent, collaborative communication.
Nice to have:
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Frontend development skills with React and TypeScript.
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DevOps practices: CI/CD automation, testing frameworks, application security, networking, and Terraform.
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Hands-on experience operating within secure, governed Microsoft Azure enterprise environments.
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PLAI2606
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