Description

The AI Forward Deployed Engineer works at the intersection of AI, engineering, and business, partnering closely with stakeholders to identify use cases, build prototypes, and deliver production-grade AI solutions. This role requires hands-on experience with LLMs, cloud platforms, APIs, and enterprise system integration, along with strong problem-solving and communication skills.

Responsibilities

• Identify and define AI use cases with business stakeholders
• Design and develop AI/ML and GenAI-based solutions (LLMs, RAG, agents)
• Build and deploy production-ready applications, copilots, and automation tools
• Integrate solutions with enterprise systems, APIs, and databases
• Collaborate with cross-functional teams for scalability, security, and reliability
• Rapidly iterate prototypes based on feedback and performance metrics
• Monitor and optimize solutions for accuracy, latency, and cost
• Create technical documentation and deployment guides
• Advise stakeholders on AI capabilities, risks, and best practices

Qualifications

• Bachelor’s degree in Computer Science / Engineering / Data Science or equivalent
• Strong programming skills (Java)
• Experience with API-based development, cloud platforms (AWS/Azure/GCP), and databases
• Hands-on experience with AI/ML technologies (LLMs, RAG, embeddings, vector DBs)
• Strong problem-solving, debugging, and system design skills
• Ability to work with business stakeholders and translate requirements
• Comfortable in fast-paced, ambiguous, customer-facing environments

Key Skills

Education

Any Graduate