AI Agent Engineer
FullStack
Job Overview
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Job Description
About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
Why Choose FullStack?
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
The Opportunity: AI Agent Engineer
Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Agent Engineer. You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
What We Are Looking For
- 4+ years of professional software development experience.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Strong experience with Python or JavaScript/TypeScript.
- Hands-on experience with LLMs (OpenAI, Anthropic, Gemini, or similar).
- Experience building AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.
- Solid understanding of prompt engineering, embeddings, and vector databases.
- Experience integrating APIs and backend services.
- Strong problem-solving skills and ability to work independently in a remote environment.
- Experience with multi-agent systems.
- Knowledge of RAG (Retrieval-Augmented Generation) architectures.
- Experience deploying AI solutions to production.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail. A positive mindset and a can-do attitude.
- Experience working on Agile / Scrum teams.
- Meaningful experience working on large, complex systems.
- Ability to take extreme ownership of your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
What We Offer
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities.
- Opportunity to grow and expand your career.
Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.
Key skills/competency
- AI Agent Development
- Large Language Models (LLMs)
- LangChain
- LlamaIndex
- Python
- Prompt Engineering
- Vector Databases
- RAG Architectures
- API Integration
- CI/CD
How to Get Hired at FullStack
- Research FullStack's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your AI Agent Engineer resume: Highlight your Python/TypeScript, LLM, LangChain, and RAG experience.
- Showcase project experience: Detail your contributions to AI agent development and production deployments.
- Prepare for technical interviews: Expect questions on LLMs, prompt engineering, vector databases, and API integration.
- Demonstrate strong communication: Emphasize advanced English proficiency for remote client collaboration.
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