AI Engineer

Responsibilities:

AI ApplicationDevelopment

• Develop AI-enabled applications using LLMs, agents, and RAG architectures
• Build and integrate chat-based, voice-enabled, and AI agents
• Apply prompt engineering, tool calling, and multi-agent orchestration
• Prototype and refine AI workflows using modern AI frameworks
• Continuously improve solution quality, accuracy, and performance

Full-StackEngineering

• Develop frontend interfaces for applications and demonstrations
  (React / Next.js or similar frameworks)
• Build backend APIs and services using Node.js, Python, or FastAPI
• Integrate databases, vector stores, and cloud services
• Connect AI solutions with enterprise systems
  
  

POC, Demo& Product Support

• Develop structured proofs of concept and customer demonstrations
• Support client-specific configurations and controlled experiments
• Transition successful POCs into maintainable, reusable product features
• Troubleshoot issues, optimize system performance, and improve reliability

Platform& Engineering Collaboration

• Work closely with cross-functional teams to convert use cases into technical solutions
• Contribute to shared components, platform architecture, and engineering standards
• Document designs, patterns, and implementation approach

Key Technical Skills & Responsibilities

Must-Have

• Strong fundamentals in software engineering (data structures, APIs, web applications)
• Experience with full-stack development (frontend and backend)
• Hands-on exposure to LLMs / Generative AI APIs (OpenAI, Anthropic, etc.)
• Proficiency in JavaScript / TypeScript or Python
• Experience designing and consuming REST APIs
• Familiarity with Git and standard development workflows
• Ability to work independently, manage tasks, and take ownership
• Strong analytical and problem-solving mindset

Good to Have (Not Mandatory)

• Experience with RAG architectures and vector databases (Pinecone, Milvus, FAISS, etc.)