AI Consultant

Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed :) WHAT YOU WILL DO - Partner with sales and business teams to identify client needs and participate in sales calls to shape compelling AI offerings; - Collaborate with clients to define AI roadmaps, prioritize use cases, and translate business needs into actionable AI solutions; - Design and lead proof-of-concepts (PoCs) using Generative AI (e.g., LLMs, RAG pipelines, agents) and Predictive AI (e.g., forecasting, classification, clustering); - Act as a trusted strategic advisor, helping clients understand where AI fits in their product or data journey; - Collaborate with internal teams to ensure a smooth transition from early consulting phases to implementation; - Contribute to proposals, workshops, and documentation for AI adoption initiatives; - Optionally: Evangelize our capabilities by writing, speaking, or mentoring internally. MUST HAVES - 5+ years of AI/ML experience , with proven delivery of both predictive and generative AI solutions in business settings; - Demonstrated consulting experience (e.g., client-facing, pre-sales support, fractional CTO work, or agency consulting); - Hands-on experience with Generative AI tools and models (e.g., OpenAI GPT, Claude, open-source LLMs, vector databases, LangChain/RAG architectures); - Experience building or advising on predictive modeling pipelines, using tools like scikit-learn, XGBoost, Prophet, etc.; - Strong communication skills: able to present to executives and business users, explain technical concepts, and tell compelling data stories; - Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices is a plus; - Self-starter mentality with the ability to kickstart projects, shape ambiguous goals, and move fast with confidence; - Upper-Intermediate English level. NICE TO HAVES - Prior experience in fractional CTO roles or acting as a strategic technical advisor; - Background in startup consulting, product ideation, or venture-backed AI/ML companies; - Experience with multi-modal AI (e.g., text, image, audio) or agent-based systems; - Public speaking, writing, or AI evangelism contributions. THE BENEFITS OF JOINING US - 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. Your application doesn't end here To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process. Requirements 5+ years of AI/ML experience, with proven delivery of both predictive and generative AI solutions in business settings; Demonstrated consulting experience (e.g., client-facing, pre-sales support, fractional CTO work, or agency consulting); Hands-on experience with Generative AI tools and models (e.g., OpenAI GPT, Claude, open-source LLMs, vector databases, LangChain/RAG architectures); Experience building or advising on predictive modeling pipelines, using tools like scikit-learn, XGBoost, Prophet, etc.; Strong communication skills: able to present to executives and business users, explain technical concepts, and tell compelling data stories; Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices is a plus; Self-starter mentality with the ability to kickstart projects, shape ambiguous goals, and move fast with confidence; Upper-Intermediate English level.