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AI Engineer (Senior / Lead) ID40978 [Solo Quedan 24h]...

AI Engineer (Senior / Lead) ID40978 [Solo Quedan 24h]...

AgileEngineCartagena de Indias, Bolívar, CO
Hace 13 días
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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    Solo Quedan Engineer • Cartagena de Indias, Bolívar, CO