Forward Deployed Engineer - LLM/Gen AI
Evnek Technologies · India · posted today ago
Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.
About this 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
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
RequirementsKey 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
