Lead GenAI Engineer - Senior

Dawar Consulting, Inc.; South San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical

Paid Sick Leave

401(k)

Job summary

Dawar Consulting, Inc. seeks a senior Lead GenAI Engineer in South San Francisco to architect and code a stateful GenAI application for grounded content.

You will design multi-agent workflows, integrate enterprise services, and manage application state to deliver structured outputs for downstream platforms. The role combines hands-on engineering with architectural ownership, production decision-making, and building robust, scalable GenAI solutions using AWS Bedrock and AgentCore.

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 and data services.
• Strong experience with RAG, grounding, application state, memory and production observability.
• Experience building streaming, multi-turn GenAI apps with history and error handling.
• Experience rendering structured outputs such as tables, charts, citations, and reusable results.
• Ability to define architecture, coding standards, and produce production code.

Responsibilities

• Architect and build a stateful, headless GenAI application for personalized content creation.
• Design multi-agent workflows, integrate enterprise services, and manage conversational state.
• Deliver structured JSON/HTML outputs for downstream content platforms.
• Own architecture decisions, coding standards, and production code reviews.

Skills

Production GenAI apps

Python/TypeScript

Stateful orchestration

API-first design

Structured outputs

Enterprise integration

RAG & grounding

Multi-turn GenAI

Outputs rendering

Code review & leadership

AWS Bedrock/AgentCore

Tools

AWS

Amazon Bedrock

AgentCore

Job description

Job Description

Our client, a world leader in biotechnology and life sciences, is looking for a "Lead GenAI Engineer".

Location: South San Francisco, CA

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.

Skill Set

• Primary immune-cell isolation, In-vitro immunological and cellular assays, Cell engineering, flow cytometry