GenAI Engineer

Spectraforce Technologies; South San Francisco (CA); Hybrid; USD 124,000 - 179,000; Part time

Job summary

Spectraforce Technologies in the Bay Area seeks a GenAI Engineer for a 6-month contract to build an enterprise GenAI application layer, handling orchestration, routing and tool integration. You will implement agent chaining, reusable skills, and grounded output formats, turning results into narratives, tables, charts and reliable payloads across services.

Must have strong Python or TypeScript backend, experience with AWS Bedrock and multi-agent workflows, and deliver production-ready code with

Qualifications

• Strong backend engineering in Python or TypeScript.
• Production experience with agent orchestration and multi-agent chaining.
• Experience designing structured JSON input/output contracts.
• Ability to combine user intents, history and screen context into downstream requests.

Responsibilities

• Build an enterprise GenAI application layer with routing and agent chaining.
• Manage reusable tools and skills and ensure grounded outputs (narratives, tables, charts).
• Turn agent results into consistent response payloads across services.
• Develop and deploy GenAI services on AWS Bedrock and related stack.

Skills

Python

TypeScript

Agent orchestration

API design

JSON contracts

GenAI services

AWS

Bedrock

AgentCore

Workflow chaining

Tools

AWS

Bedrock

AgentCore

Job description

Role: GenAI Engineer

Duration: 6 months (possibility of extension)

Location: Bay Area preferred, with ability to work from the office 1-2 days per week. Otherwise, must provide 4-6 hours of daily working overlap with Pacific Time

Description:

GenAI Engineer

Focus: Orchestration, Capability Discovery and Reusable Skills

The goal is to build an enterprise GenAI application layer that understands what the user is asking, captures relevant screen and workflow context, and passes a well-structured request to existing agents and data services. The engineer will implement routing and agent chaining, manage reusable tools and skills, and turn returned results into grounded narratives, tables, charts and consistent response payloads. The structured-data query capability already exists; this role builds the application logic and contracts around it.

Minimum capabilities

• Strong Python or TypeScript backend engineering experience
• Production experience with agent orchestration, tool calling, workflow routing and multi-agent chaining
• Strong API and schema design skills, including structured JSON input and output contracts
• Experience combining user intent, conversation history, screen context and filters into downstream agent requests
• Experience transforming agent results into narratives, tables, charts, citations and consistent application responses
• Hands-on experience building and deploying GenAI services with AWS, Amazon Bedrock and AgentCore
• Ability to independently deliver tested, production-ready code with minimal guidance

Preferred

• Experience building capability registries, agent and tool catalogs, workflow skills or discovery services
• Experience with MCP and API-first GenAI applications
• Experience building analytics applications on top of existing semantic-layer or data-query agents