1040 - AI Engineer (Agentic Systems / LLMs) · Senior · LATAM

Darwoft; Córdoba; À distance; COP 381 607 000 - 572 410 000; Plein temps

Avantages offerts par ce poste

Contractor USD payment

100% remote work

Argentine public holidays

Résumé du poste

Darwoft is seeking a Senior AI Engineer (Agentic Systems & LLMs) to join its core engineering team. You will design, build, and deploy end-to-end AI agents that integrate into business ecosystems to deliver tangible value.

Requirements include 5+ years in software engineering with 1–2 years in production AI/ML, deep familiarity with Python, LLM APIs, LangChain, RAG, and CI/CD. This is a remote contractor role.

Qualifications

• 5+ years of software engineering experience with AI/ML focus.
• Hands-on with Python and major LLM APIs/frameworks (OpenAI SDK, Google AI SDK).
• Experience building agentic workflows and RAG architectures.
• Strong fundamentals in software dev, Git, and CI/CD pipelines.
• Proven ability to translate business goals into maintainable code.

Responsabilités

• Design, build, test, and deploy AI agents that integrate into business ecosystems.
• Connect agents with diverse data sources and external APIs for end-to-end workflows.
• Design evaluation pipelines for LLM-powered agents focusing on accuracy, speed, and cost.
• Develop prompts, tooling, and RAG architectures for grounded performance.
• Provide technical leadership across the agentic lifecycle.

Connaissances

Python

LLM APIs

LangChain

RAG architectures

CI/CD

Git

Communication

Software engineering

Outils

OpenAI SDK

Google AI SDK

CrewAI

LangChain

LlamaIndex

Description du poste

Disclaimer – Must read: Commitment & Focus This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours. It is not compatible with other full-time professional engagements. Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.

About Darwoft

Darwoft is a software factory that develops custom software solutions and provides IT staff augmentation services for international clients, primarily in the United States and Latin America. We partner with startups and high-growth companies to build high-impact digital products. Our culture is people-first, focused on technical quality, long-term relationships, and a collaborative mindset. We combine technical excellence with human proximity.

Senior AI Engineer (Agentic Systems & LLMs) | Contractor

Global General Information Location: Remote (Global) Contract Type: Contractor Industry / Project: Fintech / Conversational AI & Agentic Workflows Time Zone: Coordination with US / LATAM / Global teams English Level: Advanced (C1)

About the Role

We are seeking a Senior AI Engineer specializing in LLMs and agentic architectures to join our core engineering team. In this role, you will be responsible for designing, building, and deploying end-to-end AI agents that integrate directly into business ecosystems to deliver tangible value. You will act as a subject matter expert on the latest generative AI advancements, establishing rigorous evaluation pipelines and optimizing prompt engineering, RAG, and tool connections for accuracy, speed, and cost efficiency.

Responsibilities

• Agent Development & Deployment: Design, build, test, and deploy robust, stateful, and scalable AI agents using Python and modern frameworks (Google ADK, LangChain, LlamaIndex, CrewAI, OpenAI SDK, etc.).
• End-to-End System Integration: Connect AI agents seamlessly with diverse data sources, internal services, and external APIs to deliver complete, high-value workflows.
• LLM Evaluation & Optimization: Design and implement rigorous evaluation pipelines for LLM-powered agents, driving continuous testing and performance monitoring focused on accuracy, response speed, and cost efficiency.
• Prompt Engineering & Custom Tooling: Apply advanced prompt engineering techniques and develop custom tools, Retrieval-Augmented Generation (RAG) architectures, and vector search systems to ensure grounded, reliable performance.
• Technical Scrutiny & Leadership: Act as a subject matter expert on generative AI advancements, best practices, and protocols, guiding technical decisions across the agentic lifecycle.

Requirements

Must-Have:

• 5+ years of experience in software engineering, with at least 1-2 years dedicated to building and deploying production-grade AI/ML applications focused on LLMs or generative AI.
• Technical Mastery: Expertise in Python and deep hands-on familiarity with core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, LlamaIndex, etc.).
• Agentic Systems & AI Architecture: Proven experience implementing agentic workflows, including RAG architectures, vector databases, and state/memory management.
• Engineering Fundamentals: Strong understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines.
• Execution & Communication: Demonstrated ability to translate high-level business goals into clean, maintainable, and well-tested code.

Nice-to-Have

• Active contributions to open-source AI projects or personal projects visible on GitHub.
• Experience optimizing token usage, latency profiling, and LLM cost-attribution models.

What We Offer (Contractor)

• Contractor agreement with payment in USD.
• 100% remote work in an international setting.
• Access to Argentine public holidays.
• Direct involvement in building cutting-edge conversational AI products.
• Access to learning platforms, referral rewards, and English classes.