1040 - Ai Engineer (Agentic Systems / Llms) · Senior · Latam

Darwoft; Buenos Aires; Remote; ARS 184,482,000 - 276,723,000; Part time

Benefits offered by this job

USD payment

Remote work

Argentine holidays access

Learning platforms

English classes

Job summary

Darwoft is seeking a Senior AI Engineer specializing in LLMs and agentic architectures to design, build, and deploy end-to-end AI agents that integrate with business ecosystems. You will lead evaluation pipelines, optimize prompt engineering, RAG, and tool connections for accuracy, speed, and cost efficiency.

This contract role offers 100% remote work in a global setting with USD payments and collaboration across US, LATAM, and international teams, shaping cutting-edge conversational AI products.

Qualifications

• 5+ years of software engineering experience with 1-2 years in production AI/ML
• Expertise in Python and core LLM APIs/frameworks such as OpenAI SDK, Google AI SDK, CrewAI, LangChain, LlamaIndex
• Experience implementing agentic workflows, RAG architectures, vector databases, and memory management
• Strong fundamentals in software development, Git/GitHub, CI/CD
• Ability to translate business goals into clean, maintainable code

Responsibilities

• Design, build, test, and deploy AI agents using Python and modern frameworks
• Connect AI agents to diverse data sources and APIs for end-to-end workflows
• Create evaluation pipelines and monitor performance (accuracy, speed, cost)
• Develop prompts, RAG tooling, and vector search for grounded AI behavior
• Provide technical leadership and decision guidance across agent lifecycles

Skills

5+ years experience

AI/ML production

Python

LLM APIs & frameworks

OpenAI SDK

Google AI SDK

LangChain

LlamaIndex

CrewAI

Git / GitHub

CI/CD pipelines

Tools

OpenAI SDK

Google AI SDK

CrewAI

LangChain

LlamaIndex

Job description

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

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.

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 a close, human approach to how we work.

Senior AI Engineer (Agentic Systems & LLMs) | Contractor Global

• 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.

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