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Forward Deployed Engineer - LLM/Gen AI

Evnek Technologies · घर से काम
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प्रकारFull timeSenior
Posted8 Oct16 दिन पहले, Himalayas से
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Machine Learning EngineerAI EngineerLLM EngineerGenerative AI EngineerData EngineerForward Deployed AI EngineerForward Deployed AI EngineeringForward Deployed ML EngineerForward Deployed EngineerForward Deployed EngineeringSenior Forward Deployed EngineerForward Deployed Software Engineer
इस job के बारे में
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

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