INTL
Freelancer
전문가
외주
원격 가능
Generative AI Engineer - Azure, Python Required
예산
$750~$1,250 INR
예상 기간
3~6개월
난이도
전문가
기술 스택
Python
FastAPI
Azure AI Foundry
Anthropic Claude
Azure AI Search
Azure Functions
RAG
LLMOps
AI 분석 요약 기회점수 42/100
Microsoft Azure AI Foundry와 Anthropic Claude 모델을 활용해 엔터프라이즈급 생성형 AI 애플리케이션과 AI 에이전트를 설계·개발·배포하는 프로젝트입니다. RAG, 프롬프트 엔지니어링, 에이전틱 워크플로우(툴/함수 호출), 모델 평가 프레임워크, AI 가드레일 및 LLMOps 구축이 핵심 업무입니다. Azure AI 서비스와 Claude API에 깊은 실전 경험이 있는 9년차 이상의 시니어 GenAI 엔지니어/아키텍트에게 적합합니다.
핵심 요구사항
- Azure AI Foundry 및 Anthropic Claude 모델 기반 엔터프라이즈 GenAI 솔루션 설계·구축
- RAG 파이프라인(임베딩, 벡터검색, 리랭킹) 및 Azure AI Search 통합
- Claude 툴/함수 호출을 활용한 에이전틱 워크플로우 개발
- 모델 평가 프레임워크(groundedness, hallucination, 안전성 등) 구축
- AI 가드레일, 콘텐츠 필터링, 프롬프트 인젝션 방어 등 책임있는 AI 적용
- LLMOps/GenAIOps(프롬프트 버전관리, CI/CD, 모니터링, 롤백) 체계 수립
산출물
- 엔터프라이즈 GenAI 애플리케이션 및 AI 에이전트
- RAG 기반 지식검색/코파일럿 시스템
- 모델 평가 및 모니터링 프레임워크
- 솔루션 아키텍처 문서 및 기술 설계서
- 재사용 가능한 GenAI 액셀러레이터
매력 포인트
- 명확하고 상세한 스펙
- 최신 GenAI/에이전트 기술 스택
- 원격 근무
주의사항
- 예산 표기가 모호함($750~1,250인데 통화가 INR로 혼재, 시급형 프로젝트 대비 낮음)
- 'Indians only' 등 국적 제한으로 지원자 풀 한정
- 9년차 시니어·아키텍트 요구 대비 예산이 매우 부족함
프로젝트 유형신규개발
적합 개발자9년차 이상 시니어 GenAI 엔지니어/아키텍트 (Azure + Python + Claude)
클라이언트 정보
지원자37명
평균 입찰가$1,046
프로젝트 원문 설명
Role: Generative AI Engineer / Architect - Indians only
Location: Remote
Experience: 9+ years
Role Summary
We are looking for a hands-on Generative AI Engineer/Architect with strong expertise in Microsoft Azure AI services, Azure AI Foundry (Microsoft Foundry), and Anthropic Claude models.
The candidate will be responsible for designing, developing, evaluating, and deploying secure, enterprise-grade Generative AI applications and AI agents. Strong practical experience with RAG, prompt engineering, agentic workflows, tool/function calling, Claude APIs, and responsible AI practices is required.
The ideal candidate should be able to translate business requirements into scalable GenAI architectures and take solutions from POC through production deployment.
Key Responsibilities
Design and implement enterprise GenAI solutions using Azure AI Foundry/Microsoft Foundry and Anthropic Claude.
Build intelligent assistants, copilots, knowledge-search applications, and autonomous/human-in-the-loop AI agents.
Develop agentic workflows using Claude tool use/function calling.
Integrate Claude models through supported APIs, SDKs, and enterprise model endpoints.
Design and implement RAG solutions using Azure AI Search, embeddings, vector search, reranking, and enterprise data sources.
Develop system prompts, reusable prompt templates, structured outputs, and multi-step prompt chains.
Evaluate and recommend models based on accuracy, reasoning, latency, context-window requirements, security, and cost.
Build model evaluation frameworks covering groundedness, relevance, coherence, hallucination, safety, tool-call accuracy, and task completion.
Implement AI guardrails, content filtering, prompt-injection protection, data privacy controls, and responsible AI practices.
Integrate GenAI applications with enterprise systems, APIs, databases, document repositories, and collaboration platforms.
Develop backend AI services and APIs using Python, FastAPI, REST APIs, Azure Functions, and/or Azure Container Apps.
Implement monitoring for token consumption, response quality, latency, errors, model usage, and operational costs.
Establish LLMOps/GenAIOps practices covering prompt versioning, automated evaluation, CI/CD, deployment, monitoring, and rollback.
Collaborate with business stakeholders, product teams, data engineers, security teams, and cloud architects.
Provide architectural guidance, conduct technical reviews, and mentor development teams.
Create solution architecture documents, technical designs, implementation plans, and reusable GenAI accelerators.
Location: Remote
Experience: 9+ years
Role Summary
We are looking for a hands-on Generative AI Engineer/Architect with strong expertise in Microsoft Azure AI services, Azure AI Foundry (Microsoft Foundry), and Anthropic Claude models.
The candidate will be responsible for designing, developing, evaluating, and deploying secure, enterprise-grade Generative AI applications and AI agents. Strong practical experience with RAG, prompt engineering, agentic workflows, tool/function calling, Claude APIs, and responsible AI practices is required.
The ideal candidate should be able to translate business requirements into scalable GenAI architectures and take solutions from POC through production deployment.
Key Responsibilities
Design and implement enterprise GenAI solutions using Azure AI Foundry/Microsoft Foundry and Anthropic Claude.
Build intelligent assistants, copilots, knowledge-search applications, and autonomous/human-in-the-loop AI agents.
Develop agentic workflows using Claude tool use/function calling.
Integrate Claude models through supported APIs, SDKs, and enterprise model endpoints.
Design and implement RAG solutions using Azure AI Search, embeddings, vector search, reranking, and enterprise data sources.
Develop system prompts, reusable prompt templates, structured outputs, and multi-step prompt chains.
Evaluate and recommend models based on accuracy, reasoning, latency, context-window requirements, security, and cost.
Build model evaluation frameworks covering groundedness, relevance, coherence, hallucination, safety, tool-call accuracy, and task completion.
Implement AI guardrails, content filtering, prompt-injection protection, data privacy controls, and responsible AI practices.
Integrate GenAI applications with enterprise systems, APIs, databases, document repositories, and collaboration platforms.
Develop backend AI services and APIs using Python, FastAPI, REST APIs, Azure Functions, and/or Azure Container Apps.
Implement monitoring for token consumption, response quality, latency, errors, model usage, and operational costs.
Establish LLMOps/GenAIOps practices covering prompt versioning, automated evaluation, CI/CD, deployment, monitoring, and rollback.
Collaborate with business stakeholders, product teams, data engineers, security teams, and cloud architects.
Provide architectural guidance, conduct technical reviews, and mentor development teams.
Create solution architecture documents, technical designs, implementation plans, and reusable GenAI accelerators.
Freelancer에서 원본 확인
원본 보기