Lead GenAI Engineer (Fully Remote, W2 only)

Dawar Consulting, Inc.; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical

Paid Sick Leave

401(k)

Job summary

Dawar Consulting, Inc. is seeking a Senior Lead GenAI Engineer to architect and build a stateful, headless GenAI application for personalized and grounded content creation.

The role involves designing multi-agent workflows, integrating enterprise services, managing application state, and delivering structured outputs for downstream platforms. This hands-on position requires taking architecture ownership, making technical decisions, and writing production-grade code using Python/TypeScript and

Qualifications

• Significant hands-on experience architecting and building production GenAI applications.
• Strong Python or TypeScript development and microservices experience.
• Experience with stateful, multi-turn and multi-agent orchestration.
• Strong API-first architecture and structured contract design experience.
• Experience building headless services that generate structured outputs for downstream applications.
• Experience integrating GenAI applications with enterprise platforms, data services, and content repositories.
• Strong experience with RAG, grounding, application state, memory, evaluations, and production observability.
• Experience building streaming, multi-turn GenAI applications with clarification flows, conversation history, and error handling.
• Experience rendering structured outputs such as tables, charts, citations, and reusable results.
• Ability to define architecture, establish coding standards, make technical decisions, review engineering work, and write production code.
• Strong hands-on experience with AWS, Amazon Bedrock, and AgentCore.

Responsibilities

• Architect and own the GenAI platform design and implementation.
• Deliver structured JSON/HTML outputs for downstream content platforms.
• Build multi-agent workflows and robust production-grade services.

Skills

GenAI architecture

Python/TypeScript

Multi-agent orchestration

API-first design

Production coding

AWS

Amazon Bedrock

AgentCore

Streaming GenAI

Stateful applications

Observability

Tools

AWS

Amazon Bedrock

AgentCore

Job description

This is a remote position. Our client, a world leader in biotechnology and life sciences, is looking for a “ Lead GenAI Engineer ”.

Location: South San Francisco, CA (Fully Remote) Job Duration: Long-Term Contract (Possibility Of Extension)

Company Benefits: Medical, Paid Sick Leave, 401 (k)

Seeking a Senior Lead GenAI Engineer to architect and build a stateful, headless GenAI application for personalized and grounded content creation. The role will design multi-agent workflows, integrate enterprise services, manage application and conversational state, and deliver structured JSON/HTML outputs for downstream content platforms. This is a hands‑on engineering role requiring architecture ownership, technical decision‑making, and production coding.

Required Skills & Qualifications

• Significant hands‑on experience architecting and building production GenAI applications .
• Strong Python or TypeScript development and microservices experience.
• Experience with stateful, multi-turn and multi-agent orchestration .
• Strong API-first architecture and structured contract design experience.
• Experience building headless services that generate structured outputs for downstream applications.
• Experience integrating GenAI applications with enterprise platforms, data services, and content repositories.
• Strong experience with RAG, grounding, application state, memory, evaluations, and production observability .
• Experience building streaming, multi-turn GenAI applications with clarification flows, conversation history, and error handling.
• Experience rendering structured outputs such as tables, charts, citations, and reusable results .
• Ability to define architecture, establish coding standards, make technical decisions, review engineering work, and write production code.
• Strong hands‑on experience with AWS, Amazon Bedrock, and AgentCore .

Preferred Skills

• Content generation, content‑as‑code, personalization, or marketing technology experience.
• Experience with Workfront, Veeva Vault PromoMats, AEM Assets , or similar enterprise content platforms.
• Experience in commercial pharma or other regulated content environments .