Overview
Join to apply for the AI Engineer (Senior / Lead) ID40978 role at AgileEngine .
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 fundamentals5+ years deploying production machine learning systems at scale3+ years of hands-on experience with LLMs, including API integration and local deploymentStrong data engineering and data science expertise—you can work with raw, unstructured data and transform it into ML-ready datasetsProficiency 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 systemsStrong cloud platform expertise (AWS, GCP, Azure) with containerization and orchestration experienceExperience building scalable microservices, APIs, and ML inference pipelinesDemonstrated ability to work independently and manage complex projects end-to-end with minimal oversightExceptional communication skills with experience presenting to senior leadershipConsulting mindset with ability to understand business requirements and translate them into technical solutionsTrack record of leading technical projects from conception to production deploymentUpper-Intermediate English levelNICE TO HAVES
Previous consulting or client-facing engineering experienceExperience across multiple industries (fintech, healthcare, e-commerce, etc.)Advanced statistical analysis and experimentation design experienceExperience with streaming data platforms and real-time ML systemsContributions to open-source AI / ML projects or technical publicationsExperience with MLOps, model monitoring, and deployment automationBackground in data engineering and large-scale data processingAdvanced degrees in Computer Science, AI / ML, or related technical fieldsStartup or fast-paced environment experiencePERKS 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, with options for working from home or at the office.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
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