AI Engineer (Senior/Lead) ID40978

AgileEngine; Santiago del Estero; Presencial; ARS 9.750.000 - 12.500.000; Jornada completa

Descripción de la vacante

A leading technology consulting firm in Santiago del Estero is seeking a Senior AI Engineer. You will design and implement end-to-end AI solutions, mentor junior engineers, and present outcomes to executives. The role demands extensive experience in software development, production ML systems, and cloud expertise. Benefits include competitive USD-based compensation and flexible working hours.

Servicios

Professional growth opportunities

Competitive compensation

Exciting project selection

Flextime scheduling

Formación

• 5+ years of professional software development experience.
• 5+ years deploying production machine learning systems at scale.
• 3+ years hands-on experience with LLMs, API integration and deployment.

Responsabilidades

• Design and implement end-to-end AI solutions for clients.
• Build sophisticated LLM applications using RAG and vector databases.
• Develop custom ML models for client-specific challenges.

Conocimientos

Software development

Production machine learning systems

LLMs hands-on experience

Data engineering expertise

Data manipulation tools proficiency

Python proficiency

Cloud platform expertise

Microservices and APIs building

Independent project management

Communication skills

Consulting mindset

Statistical analysis experience

MLOps experience

Herramientas

pandas

NumPy

SQL

Spark

Dask

PyTorch

TensorFlow

Hugging Face

AWS

GCP

Azure

Descripción del empleo

ABOUT THE ROLE

We're looking for an experienced Senior AI Engineer to join our elite consulting team. You'll work on diverse internal R&D initiatives and high-stakes client projects, delivering production-ready AI systems that solve real business problems. This role combines deep technical expertise with client-facing responsibilities. You'll architect solutions, lead implementation, and present to C-level executives and technical stakeholders.

WHAT YOU WILL DO

• Design and implement end-to-end AI solutions for clients across various industries and use cases;
• Build sophisticated LLM applications using RAG, vector databases, fine-tuning, and agentic workflows;
• Develop custom ML models for client-specific challenges including NLP, computer vision, and predictive analytics;
• Independently assess, clean, and engineer features from complex, messy datasets;
• Own the complete data pipeline from ingestion through model training and deployment;
• Lead technical discovery sessions and solution architecture discussions with client stakeholders;
• Present technical concepts and project outcomes to executive leadership and technical teams;
• Mentor junior engineers and establish AI/ML best practices across client engagements;
• Collaborate with cross-functional teams including product managers, designers, and business stakeholders;
• Contribute to internal R&D initiatives and thought leadership in AI/ML.

MUST HAVES

• 5+ years of professional software development experience with strong fundamentals;
• 5+ years deploying production machine learning systems at scale;
• 3+ years of hands-on experience with LLMs, including API integration and local deployment;
• Strong data engineering and data science expertise—you can work with raw, unstructured data and transform it into ML-ready datasets;
• Proficiency with data manipulation tools: pandas, NumPy, SQL, and big data frameworks (Spark, Dask);
• Expert-level Python proficiency with deep knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face);
• Proven experience with modern AI techniques: RAG, vector search, prompt engineering, and agentic systems;
• Strong cloud platform expertise (AWS, GCP, Azure) with containerization and orchestration experience;
• Experience building scalable microservices, APIs, and ML inference pipelines;
• Demonstrated ability to work independently and manage complex projects end-to-end with minimal oversight;
• Exceptional communication skills with experience presenting to senior leadership;
• Consulting mindset with ability to understand business requirements and translate them into technical solutions;
• Track record of leading technical projects from conception to production deployment;
• Upper-Intermediate English level.

NICE TO HAVES

• Previous consulting or client-facing engineering experience;
• Experience across multiple industries (fintech, healthcare, e-commerce, etc.);
• Advanced statistical analysis and experimentation design experience;
• Experience with streaming data platforms and real-time ML systems;
• Contributions to open-source AI/ML projects or technical publications;
• Experience with MLOps, model monitoring, and deployment automation;
• Background in data engineering and large-scale data processing;
• Advanced degrees in Computer Science, AI/ML, or related technical fields;
• Startup or fast-paced environment experience.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.