Software Engineer - Level 3

BravoTECH

Richardson, TX, United States

5 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

jobs.bravotech.com

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence ARM Architecture Customer Data Management Database Queries Identity and Access Management Node.Js Next.js Software Deployment Systems Integration TypeScript

+7 more

Google Cloud ReactJS Large Language Models Snowflake Multi-Agent Systems Backend NestJS

Job description

Design and develop AI agents and multi-agent workflows using Google ADK or comparable frameworks.
Implement agent orchestration including tool use, function calling, sub-agent delegation, and state/session management.
Integrate AI agents with enterprise data sources such as Snowflake, Salesforce, and internal APIs.
Deploy and scale AI solutions on Google Cloud / Vertex AI.
Evaluate and optimize agent performance, latency, reliability, and cost.
Build testing, observability, guardrails, and safety controls for AI agents.
Partner with data engineering and platform teams to ensure agents have access to reliable, governed data.
Deliver AI capabilities that reduce manual effort and provide measurable business value.

Requirements

8+ years of software engineering experience, including recent hands-on experience in applied AI/agent development.
3+ years of AI engineering experience preferred within the overall software engineering background.
Strong Python development skills.
Hands-on experience building AI agents using Google ADK or comparable frameworks such as LangGraph, AutoGen, or CrewAI.
Experience with LLM APIs such as Gemini, Claude, OpenAI, or similar.
Strong understanding of agent architecture, including planning, tool orchestration, memory/state, and multi-agent coordination.
Experience building and integrating REST APIs and backend services.
Experience deploying applications on Google Cloud Platform, including familiarity with Vertex AI, Cloud Run, IAM, and Secrets Manager.
Experience shipping AI features to production, beyond proof-of-concept or prototype development.
Strong communication skills and ability to work independently in a fast-changing environment.

Preferred Qualifications:

Experience with Model Context Protocol (MCP) or similar agent-to-tool integration standards.
Strong SQL skills, preferably with Snowflake.
Experience with Snowflake Cortex / Cortex Analyst.
Familiarity with Salesforce data models and object relationships.
Experience with LLM/agent evaluation frameworks.
Experience integrating AI agents with React/Next.js, Node.js, or NestJS applications.
TypeScript/JavaScript experience.