Senior Backend Engineer: Scalable Ai-Driven Systems Remote

Quik Hire Staffing; Buenos Aires; Teletrabalho; ARS 230 602 000 - 292 096 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

USD payments

Learning platforms

Resumo da oferta

Darwoft is seeking a Senior AI Engineer to design, build, and deploy agentic AI systems and LLM-powered workflows for international clients. This contract role emphasizes production-grade AI/ML capabilities, prompt engineering, and end-to-end integration.

You'll collaborate with global teams, focusing on scalable architectures, evaluation pipelines, and advanced tooling. Remote work options are available, with USD payments and opportunities for growth within a dynamic fintech/conversational AI

Qualificações

• Must have 5+ years in software engineering with at least 1-2 years building and deploying production-grade AI/ML apps focused on LLMs.
• Expertise in Python and core 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 understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines.
• Ability to translate high-level business goals into clean, maintainable code.

Responsabilidades

• Design, build, test, and deploy robust AI agents and workflows.
• Connect AI 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 and tools, RAG architectures, and vector search for grounded performance.
• Provide technical leadership and guidance on generative AI practices.

Conhecimentos

Python

LLM APIs

Agentic workflows

Prompt engineering

Git & CI/CD

Ferramentas

LangChain

LlamaIndex

OpenAI SDK

Google AI SDK

CrewAI

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.