Forward Deployed Engineer - LLM/Gen AI
- Posted 21 days ago
- Be among the first 10 applicants
Job Description
Job Role: Forward Deployed Engineer - LLM/Gen AI
Experience: 5-10yrs
Location: Bengaluru (Remote)
Notice Period: Immediate or max 15days preferred
Technical Skills Required
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
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
- 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
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
More Info
Key Skills
Data Pipelines Data Lakehouse and Data Mesh
API Design and Enterprise Integrations
Cloud Architecture AWS Azure GCP
Security Governance and Cost Optimization
AI ML Generative AI and Large Language Models LLMs
Retrieval-Augmented Generation RAG and AI Agents
MLOps CI CD Model Registry and Model Observability
About Company