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.