Forward Deployed AI Engineer

Job description

Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work directly with customers to design, build, deploy, and scale production-grade AI solutions that solve complex business challenges. You will act as the bridge between business and technology, partnering with stakeholders to transform organizations through AI-powered applications, intelligent automation, and modern AI platforms. Key Responsibilities • Design, develop, and deploy enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, SLMs, and RAG. • Work closely with customers to understand business problems and translate them into scalable AI solutions. • Develop AI-powered applications for conversational AI, intelligent automation, and AI-assisted Software Development Lifecycle (SDLC). • Build production-ready AI workflows using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, and similar AI platforms. • Design agent orchestration frameworks integrating enterprise systems, APIs, databases, and external tools. • Optimize AI solutions for accuracy, latency, scalability, reliability, and cost efficiency. • Build robust APIs, microservices, and AI services following software engineering best practices. • Collaborate with Product, Engineering, Data Science, and DevOps teams to deliver enterprise AI platforms. • Participate in customer workshops, solution design, PoCs, technical discussions, and deployment activities. • Contribute to continuous improvement by evaluating emerging AI technologies and recommending innovative solutions. Required Skills & Qualifications • 713 years of experience in Software Engineering, AI Engineering, or Machine Learning. • Strong programming expertise in Python. • Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, and AI Agents. • Experience with AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or similar orchestration platforms. • Knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, or equivalent AI platforms. • Experience with PyTorch, TensorFlow, Hugging Face, or modern AI frameworks. • Strong understanding of vector databases, embeddings, semantic search, and AI workflows. • Experience with Docker, Kubernetes, REST APIs, CI/CD, and cloud platforms (AWS, Azure, or GCP). • Strong communication skills with experience working directly with enterprise clients. • Experience working in Agile development environments. Preferred Skills • Experience with MLOps/LLMOps and AI deployment frameworks. • Exposure to PEFT, LoRA, QLoRA, or model optimization techniques. • Knowledge of distributed computing and enterprise AI infrastructure.