前部署工程师 - LLM/生成式 AI
Forward Deployed Engineer - LLM/Gen AI
AI开发工程限定地区（需当地身份）
公司Evnek Technologies
薪资未公开
工作地点India
地域资格限定地区（需当地身份）
时区要求日间重叠约 6 小时，基本正常作息
用工类型Full Time
发布时间7 天前
数据来源Himalayas
注意地域限制：该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。
Job Role: Forward Deployed Engineer - LLM/Gen AI
Experience: 5-10yrs
Location: Bengaluru (Remote)
Notice Period: Immediate or max 15days preferred
Technical Skills Required
- Solid understanding of data platforms — data lakes, pipelines, transformation, and how data flows from source to AI model
- Working knowledge of Generative AI, LLMs, and RAG pipelines — enough to scope deliverables and review outputs critically
- Ability to read and understand data models, architecture diagrams, and API specs — you don't write production code but understand what's being built
- Cloud platforms — AWS and/or Azure — data and AI services at a conceptual and delivery level
- Familiarity with Snowflake, Databricks, or equivalent — enough for informed conversations with data engineers
- Experience using AI platforms and tools to rapidly prototype and demonstrate solutions to clients
Delivery & Client Skills Required
- 6–10 years in AI/data product delivery, technical consulting, or engineering — not pure product management
- Proven ability to run discovery independently — without a senior consultant holding your hand
- Strong client-facing presence — comfortable presenting to senior business and technology stakeholders
- Experience writing SOWs, project proposals, or technical specifications that get signed off by clients
- Track record of owning delivery outcomes — accountable for the result, not just managing tasks
- Experience in consulting, professional services, or embedded delivery model strongly preferred
- Ability to manage multiple workstreams simultaneously in a fast-paced pod environment
Requirements
Requirements
Key Skills
• Cloud Architecture (AWS/Azure/GCP)
• AI/ML, Generative AI, and Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) and AI Agents
• API Design and Enterprise Integrations
• Data Pipelines, Data Lakehouse, and Data Mesh
• MLOps, CI/CD, Model Registry, and Model Observability
• Security, Governance, and Cost Optimization
Originally posted on Himalayas
本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。
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