Forward Deployed Ai Engineer (All Genders)

OverviewIn this role you will design and ship production-grade AI systems that drive measurable business results.You’ll operate in fast-changing environments, translating prototype ideas into scalable solutions and partnering with clients to enable AI-led change.You will work across AI deployment, business process transformation, and technical pre-sales to showcase real value.This is a hands-on position with a strong focus on impact, governance, and collaboration with cross-functional teams.ResponsabilidadesAI Implementation & Deployment: design, build, and deploy production-ready AI solutions (automation, agents, predictive analytics, generative AI); move ideas from prototype to production with modern frameworks and foundation models; API/data pipeline integration; governance and monitoring for safe operation; collaborate with client teams to enable AI adoptionBusiness Process Transformation: map current processes, identify bottlenecks, design AI-enabled future states, assess ROI and success metrics, prioritize use cases for impactTechnical Pre-Sales & Demonstration: build rapid AI prototypes and demos for prospects; demonstrate AI capabilities with concrete business examples; establish technical credibility; assess client AI readiness (data quality, infrastructure, organizational capability)Requisitos principales2+ years of AI/ML implementation experienceHands-on with large language models and generative AI (GPT-4, Claude, Llama); prompt engineering, RAG, fine-tuning, AI agent development (LangChain, AutoGen, CrewAI)Strong Python skills; data engineering capabilities (pipelines, vector databases, ETL)API/integration experience; solid ML foundations (scikit-learn, PyTorch, TensorFlow)Production shipping experience with cloud infrastructure knowledge (AWS, Azure, GCP incl. GPU/serverless)DevOps/MLOps practices (CI/CD, monitoring, model versioning); performance optimization (cost, latency, scalability)Strong business-outcome focus, rapid iteration, pragmatic problem-solving; clear non-technical communication; change management; collaboration with Deployment StrategistTravel flexibility; entrepreneurial mindset; ethical AI awareness (safety, bias, privacy)strong communication with non-technical stakeholderscollaboration withDeployment Strategistchange managementLangChainAutoGenCrewAI or similar

Technical Pre-Sales & Demonstration: build rapid AI prototypes and demos for prospects; demonstrate AI capabilities with concrete business examples; establish technical credibility; assess client AI readiness (data quality, infrastructure, organizational capability) Requisitos principales2+ years of AI/ML implementation experience Hands-on with large language models and generative AI (GPT-4, Claude, Llama); prompt engineering, RAG, fine-tuning, AI agent development (LangChain, AutoGen, CrewAI) Strong Python skills; data engineering capabilities (pipelines, vector databases, ETL) API/integration experience; solid ML foundations (scikit-learn, PyTorch, TensorFlow) Production shipping experience with cloud infrastructure knowledge (AWS, Azure, GCP incl. GPU/serverless) DevOps/MLOps practices (CI/CD, monitoring, model versioning); performance optimization (cost, latency, scalability) Strong business-outcome focus, rapid iteration, pragmatic problem-solving; clear non-technical communication; change management; collaboration with Deployment Strategist Travel flexibility; entrepreneurial mindset; ethical AI awareness (safety, bias, privacy) strong communication with non-technical stakeholders collaboration withDeployment Strategist change management LangChain AutoGen CrewAI or similar