We are looking for a highly skilled
AI Agent Developer
to build advanced AI-driven solutions that empower businesses through cutting-edge technologies.
This role focuses on designing, developing, and optimizing AI-powered agents that leverage machine learning, natural language processing (NLP), and automation frameworks.
You will collaborate with cross-functional teams to deliver intelligent solutions that enhance business operations, customer interactions, and automation workflows.
This role is 100% remote but only open to candidates based in Latin America (LATAM). Applications outside this region will not be considered.
Key Responsibilities
Design and develop
AI-driven agents
for customer service, process automation, and knowledge retrieval.
Implement
LLMs (Large Language Models)
and
NLP techniques
to improve AI agent capabilities.
Optimize
prompt engineering
and
retrieval-augmented generation (RAG)
techniques for efficiency and accuracy.
Integrate AI models with
APIs, cloud services, and existing enterprise systems
.
Fine-tune AI models and continuously improve their
context awareness and problem-solving capabilities
.
Work with
vector databases, embeddings, and knowledge graphs
for AI memory and reasoning.
Collaborate with cross-functional teams, including
data scientists, software engineers, and product managers
, to deploy AI-driven solutions.
Monitor and improve AI performance using
A/B testing, feedback loops, and real-world user interactions
.
Requirements
Required Skills & Experience
Proficiency in AI/ML frameworks
: TensorFlow, PyTorch, LangChain, OpenAI API, Hugging Face, or similar.
Strong experience in
NLP, LLM fine-tuning, and embedding models
.
Hands-on experience with
retrieval-augmented generation (RAG)
and
prompt engineering
.
Expertise in
Python, FastAPI, Flask, or similar backend frameworks
.
Experience with
vector databases (Pinecone, Weaviate, FAISS, ChromaDB, etc.)
.
Knowledge of
cloud services (AWS, Azure, or GCP) and serverless architectures
.
Experience integrating AI with
API-driven applications and automation workflows
.
Familiarity with
CI/CD pipelines, version control (Git), and Agile methodologies
.
Strong problem-solving and analytical skills, with a passion for AI innovation.
Preferred Qualifications
Experience with
multi-agent architectures
and
AI-driven decision-making systems
.
Understanding of
graph neural networks (GNNs) and symbolic AI
.
Experience with
LLM orchestration tools
such as
AutoGPT, BabyAGI, CrewAI, or OpenDevin
.
Contributions to
open-source AI projects
or publications in AI/ML research.
Knowledge of
ethical AI principles and responsible AI deployment
.