Senior Backend Engineer - Scalable Ai Systems (Remote)

Coderio; Buenos Aires; Teletrabalho; ARS 127 071 000 - 254 142 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Contractor with USD payments

100% remote work

Access to learning platforms

Public holidays in Argentina

English classes

Resumo da oferta

Darwoft is seeking a Senior AI Engineer (Agentic Systems & LLMs) for a global contractor role. You will design, build, and deploy AI agents, integrate them with data sources and APIs, and lead evaluation pipelines to optimize performance and cost.

Roadmap includes RAG architectures, vector databases, and advanced prompt tooling. Remote, worldwide coordination with US/LATAM teams is expected.

Qualificações

• 5+ years of software engineering experience, with 1–2 years building and deploying production AI/ML apps.
• Expertise in Python and major LLM APIs/frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, LlamaIndex).
• Experience implementing agentic workflows, including RAG architectures, vector databases, and state/memory management.
• Strong software development fundamentals, version control (Git/GitHub), and CI/CD pipelines.
• Ability to translate high-level business goals into clean, maintainable, well-tested code.
• Nice-to-have: open-source contributions visible on GitHub.
• Nice-to-have: token usage optimization and LLM cost-attribution modeling.

Responsabilidades

• Agent Development & Deployment: Design, build, test, and deploy robust AI agents using Python and modern frameworks.
• End-to-End System Integration: Connect AI agents with diverse data sources, services, and external APIs.
• LLM Evaluation & Optimization: Build evaluation pipelines for LLM-powered agents focusing on accuracy and cost efficiency.
• Prompt Engineering & Custom Tooling: Develop tools, RAG architectures, and vector search systems for grounded performance.
• Technical leadership: Guide decisions on agentic lifecycle and AI advancements.

Conhecimentos

Python

LLMs / Generative AI

CI/CD

Git / GitHub

Execution & Communication

Ferramentas

OpenAI SDK

Google AI SDK

CrewAI

LangChain

LlamaIndex

Vector databases

Descrição da oferta de emprego

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.

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)

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.