Forward Deployed AI Engineer

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, and similar AI platforms.
• Design agent orchestration frameworks integrating enterprise systems, APIs, databases.
• 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 and Qualifications

• 4+ 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.
• Experience with AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or similar orchestration 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.
• 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 Harness Engineering, AI Observability and Responsible AI.
• Knowledge of distributed computing and enterprise AI infrastructure.