AI Forward Deployed Engineer

• Partner directly with customers to understand complex business challenges and translate them into scalable AI solutions. • Design solution architectures and end-to-end AI systems from concept to production. • Prototype quickly, validate ideas with users, and iterate based on real-world feedback. • Build production-ready AI applications using modern frameworks, cloud platforms, and best engineering practices. • Develop intelligent agents, RAG applications, recommendation systems, computer vision pipelines, and machine learning solutions. • Architect scalable, reliable, and maintainable software systems that integrate seamlessly with customer environments. • Collaborate with researchers, engineers, product teams, and customer stakeholders to deliver measurable business impact. • Drive technical decisions around system design, AI architecture, scalability, and performance. • Help shape both the technical solution and the product strategy from discovery through deployment. • Continuously evaluate emerging AI models, frameworks, and developer tools to improve how we design, build, and ship software.

Want to build AI that changes how companies work? At Marvik, we don't build the same product over and over. We partner with companies worldwide to solve real business problems using Artificial Intelligence. One week you might be designing an autonomous agent for a Fortune 500 company. The next, you'll be building recommendation systems, optimizing manufacturing processes, or helping a startup launch its first AI product. Every project is different. Every challenge is new. And every solution you build has a real impact. If you enjoy working closely with customers, moving fast, and turning ambiguity into software, you'll probably love this role. What do we offer?🚀 • Work on AI projects across multiple industries. • Travel opportunities to meet clients and collaborate on-site. • Design and build AI systems that create measurable business impact. • Solve problems using the latest technologies in Generative AI, Computer Vision, NLP, Recommendation Systems and Machine Learning. • Work directly with technical and business stakeholders. • Join one of the strongest AI consulting teams. • Learn faster by working across different products, industries and technologies. • Build solutions most engineers only read about. What you'll do?🧑🏻‍💻 • Partner directly with customers to understand complex business challenges and translate them into scalable AI solutions. • Design solution architectures and end-to-end AI systems from concept to production. • Prototype quickly, validate ideas with users, and iterate based on real-world feedback. • Build production-ready AI applications using modern frameworks, cloud platforms, and best engineering practices. • Develop intelligent agents, RAG applications, recommendation systems, computer vision pipelines, and machine learning solutions. • Architect scalable, reliable, and maintainable software systems that integrate seamlessly with customer environments. • Collaborate with researchers, engineers, product teams, and customer stakeholders to deliver measurable business impact. • Drive technical decisions around system design, AI architecture, scalability, and performance. • Help shape both the technical solution and the product strategy from discovery through deployment. • Continuously evaluate emerging AI models, frameworks, and developer tools to improve how we design, build, and ship software. If you have🤝 • Proven experience building production-grade software: 7+ years in software engineering with at least 2 years delivering AI solutions, or 4+ years building AI systems end-to-end. • Strong Python skills, with hands-on experience in AI-assisted development (vibe coding). • Experience with LLMs, Machine Learning or modern AI frameworks. • Experience with cloud platforms (AWS, Azure, OCI or GCP). • Comfortable working with customers and ambiguous problems. • Strong communication skills. • Curiosity and willingness to learn continuously. • AI-first development mindset, with daily use of Claude or similar AI coding tools. • Advanced English. You'll stand out if you have experience with: • Agentic AI and multi-agent systems. • LangChain, LangGraph or similar orchestration frameworks. • Retrieval-Augmented Generation (RAG). • Vector Databases (pgvector, Pinecone, Weaviate, Milvus, etc.). • Model Context Protocol (MCP). • FastAPI or modern Python backend frameworks. • CI/CD and MLOps practices. • Building production AI systems at scale. • Building enterprise software and/or fast-growing startups. The industry calls it a Forward Deployed Engineer. At Marvik, we've been building engineers like this for years. Originally posted on Himalayas AI-Engineer, Forward-Deployed-Engineer, Software-Engineer, Machine-Learning-Engineer, Solutions-Engineer, Forward-Deployed-AI-Engineer, Forward-Deployed-AI-Engineering, Forward-Deployed-ML-Engineer, Forward-Deploy-Engineer, Forward-Deployment-Engineer, Senior-Forward-Deployed-Engineer, Forward-Deployed-Software-Engineer