Job DescriptionWe 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 contemporary 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.

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