Startup à United States

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! : )

• 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.

• 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.

• 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.

• 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.

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.