Forward Deployed Engineer - LLM/Gen AI
# Forward Deployed Engineer - LLM/Gen AI **Evnek Technologies** · India · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[AI-Engineer]` `[LLM-Engineer]` `[Generative-AI-Engineer]` `[Data-Engineer]` `[Forward-Deployed-AI-Engineer]` `[Forward-Deployed-AI-Engineering]` `[Forward-Deployed-ML-Engineer]` `[Forward-Deployed-Engineer]` `[Forward-Deployed-Engineering]` `[Senior-Forward-Deployed-Engineer]` `[Forward-Deployed-Software-Engineer]` --- ### About the Role 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
- Machine-Learning-Engineer
- AI-Engineer
- LLM-Engineer
- Generative-AI-Engineer
- Data-Engineer
- Forward-Deployed-AI-Engineer
- Forward-Deployed-AI-Engineering
- Forward-Deployed-ML-Engineer
- Forward-Deployed-Engineer
- Forward-Deployed-Engineering
- Senior-Forward-Deployed-Engineer
- Forward-Deployed-Software-Engineer
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).