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▷ [Buen Sueldo] AI Engineer (Senior / Lead) ID40978...

AgileEngineCartagena de Indias, Bolívar, CO

Hace 7 horas

Descripción del trabajo

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AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you / 're looking for a place to grow, make an impact, and work with people who care, we / 'd love to meet you!

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries

IT Services and IT Consulting

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Engineer • Cartagena de Indias, Bolívar, CO

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