Ai Engineer

4 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.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.OverviewWe are 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 doDesign 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 Haves5+ 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 HavePrevious 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 BenefitsProfessional 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, with options to work from home or in the office.ENGENHEIRO(A) DE MACHINE LEARNING SR - 8693283We're unlocking community knowledge in a new way.Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr