Forward Deployed Engineer – LLM/Gen AI

🕒 5 days ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Evnek

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

Evnek is an AI-driven enterprise services company that builds and deploys agentic AI platforms, generative AI and machine learning solutions, and cloud-native engineering for businesses. It provides autonomous intelligent agents, cloud services across AWS/Google Cloud/Azure, data engineering, DevOps, API/microservices development, and strategic consulting to help organizations automate workflows, accelerate time-to-value, and realize measurable ROI from AI adoption.

📋 Description

• Run discovery independently with clients • Scope deliverables and critically review Generative AI, LLM, and RAG outputs • Understand data models, architecture diagrams, and API specifications without writing production code • Deliver solutions using cloud data and AI services at a conceptual and delivery level • Collaborate with data engineers on Snowflake, Databricks, or equivalent platforms • Rapidly prototype and demonstrate AI solutions to clients • Present to senior business and technology stakeholders • Write SOWs, project proposals, and technical specifications for client sign-off • Own delivery outcomes and accountability for results • Manage multiple workstreams in a fast-paced pod environment

🎯 Requirements

• 5–10 years of experience (job header) • 6–10 years in AI/data product delivery, technical consulting, or engineering • Solid understanding of data platforms — data lakes, pipelines, transformation, and data flow from source to AI model • Working knowledge of Generative AI, LLMs, and RAG pipelines • Ability to read and understand data models, architecture diagrams, and API specifications • Cloud platform knowledge — AWS and/or Azure — at a conceptual and delivery level • Familiarity with Snowflake, Databricks, or equivalent • Experience using AI platforms and tools to rapidly prototype and demonstrate solutions to clients • Proven ability to run discovery independently • Strong client-facing presence and comfort presenting to senior business and technology stakeholders • Experience writing SOWs, project proposals, or technical specifications for client sign-off • Track record of owning delivery outcomes • Experience in consulting, professional services, or embedded delivery model strongly preferred • Ability to manage multiple workstreams in a fast-paced pod environment • Immediate availability or maximum 15-day notice period preferred • 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