Senior AI Engineer – Mobile & Digital Applications

Experience: 10–15 Years

Location: Chennai

Work Mode: Work From Office

Employment Type: Full-Time

Reporting To: Head of Operations

Elephant in the Boardroom is looking for an experienced and technically strong Senior AI Engineer – Mobile & Digital Applications to design and deliver AI-powered applications and intelligent digital experiences for clients.

The role focuses on practical implementation of Large Language Models (LLMs), AI workflows, automation systems, AI-assisted user experiences, and scalable AI integrations across mobile and digital platforms.

This is a hands-on technical role suited to someone experienced in delivering production-ready AI applications, integrating modern AI frameworks, and collaborating closely with engineering and client teams to bring AI-powered products to market.

The role involves working closely with Australian and international clients while leading a Chennai-based engineering team across multiple AI and mobile application projects.

• Collaborating with AI, mobile, backend, frontend, and DevOps engineers across multiple projects
• Design and architect scalable AI-powered mobile applications and intelligent digital solutions
• Drive end-to-end project delivery including architecture, development, deployment, optimisation, and post-production support
• Build and oversee AI integrations using LLMs, AI APIs, automation tools, and modern AI frameworks
• Prepare and maintain detailed technical documentation including architecture diagrams, workflows, technical specifications, API documentation, deployment plans, and engineering processes
• Collaborate with international clients, stakeholders, and internal teams to understand business requirements and translate them into scalable technical solutions
• Lead Agile/Scrum ceremonies including sprint planning, stand-ups, sprint reviews, and retrospectives
• Review code, enforce engineering standards, and ensure best practices across AI, mobile, backend, frontend, and DevOps workflows
• Oversee cloud infrastructure, CI/CD pipelines, deployment processes, monitoring, and application scalability
• Handle technical escalations, architecture discussions, delivery risks, and performance optimisation
• Participate in technical hiring, candidate evaluations, and engineering team development initiatives
• Conduct regular mentoring sessions, technical reviews, and growth planning for engineering team members
• Stay updated with emerging AI technologies, mobile engineering trends, architecture standards, and modern engineering practices

• 
  Strong hands-on experience integrating and working with modern LLM platforms including OpenAI GPT, Claude, Gemini, or similar AI models
• Experience building AI-powered applications, intelligent assistants, workflow automations, conversational systems, or recommendation engines
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and AI orchestration frameworks
• Experience with AI frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar ecosystems
• Strong understanding of prompt engineering, structured outputs, context handling, and AI response optimisation
• Experience integrating AI APIs into mobile, web, or backend systems
• Understanding of AI limitations, hallucination management, token optimisation, latency management, and AI cost considerations
• Experience deploying and supporting production-grade AI applications in real-world environments
  

• Strong experience with Python (FastAPI, Django) and/or Node.js for backend application development
• Experience building scalable APIs, microservices, and backend integrations
• Strong understanding of REST APIs, GraphQL, WebSockets, authentication, and third-party integrations
• Experience with database design, optimisation, and scalable backend architecture
• Familiarity with PostgreSQL, MongoDB, Redis, or similar technologies
  

• Experience working with Google Cloud Platform (GCP), AWS, or Azure environments
• Experience with Docker, CI/CD pipelines, deployment automation, and cloud-based application hosting
• Familiarity with infrastructure monitoring, logging, performance optimisation, and scalable deployment practices
• Experience using GitHub Actions, Jenkins, Bitbucket Pipelines, or similar CI/CD tooling
  

• Exposure to Flutter and/or React Native mobile application development
• Understanding of mobile application architecture, API integrations, and deployment workflows
• Exposure to React.js, Next.js, JavaScript, or TypeScript is highly regarded
• Understanding of frontend-backend integration patterns and modern application workflows

• Strong understanding of scalable application architecture and practical solution design
• Ability to translate business requirements into scalable technical solutions and implementation approaches
• Experience preparing technical documentation including architecture diagrams, workflows, API documentation, technical specifications, and deployment documentation
• Strong understanding of security, scalability, maintainability, and engineering best practices
• Experience contributing to technical estimation, delivery planning, and solution implementation discussions
  

• Git, GitHub, Bitbucket, Jira, Confluence, Agile, and Scrum delivery environments
• Experience working across multiple concurrent projects in fast-paced delivery environments

  Looking to get Placed? Try our Placement Guarantee Plan

  Get Hired
  
  

• Experience working with AI agents, automation platforms, or AI workflow systems
• Experience integrating AI into mobile applications or customer-facing digital platforms
• Exposure to Firebase, real-time systems, or event-driven architectures
• Experience working with Australian or international clients
• Contributions to AI, automation, or engineering-related open-source projects
• Published AI-enabled or mobile applications in production environments

• 10–15 years of experience in software engineering and application development
• Minimum 3–5 years of experience in a Senior Engineer or Technical Lead capacity, or 3–5 years of overseas working experience in relevant roles
• Strong hands-on experience in AI engineering, mobile application development, solution architecture, backend systems, and DevOps environments
• Experience leading AI-integrated mobile application projects for international clients
• Proven experience managing engineering teams and technical project delivery
• Strong communication, stakeholder management, and documentation skills
• Bachelors or Masters degree in Computer Science, Engineering, Artificial Intelligence, or a related field

• Opportunity to work on innovative international AI and mobile projects
• Exposure to cutting-edge AI technologies and intelligent automation solutions
• Collaborative and growth-oriented engineering environment
• Leadership opportunities with high-impact responsibilities
• Competitive compensation based on experience and expertise

Interested candidates can send their updated resume to:

[HIDDEN TEXT]

[HIDDEN TEXT]

Subject Line:

Application – Senior AI Engineer – Mobile & Digital Applications

Elephant in the Boardroom

Chennai, India

www.elephantintheboardroom.com.au