Website:
elephantintheboardroom.com.au
Job details:
Experience: 10–15 Years
Location: Chennai
Work Mode: Work From Office
Employment Type: Full-Time
Reporting To: Head of Operations
ABOUT THE ROLE
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.
KEY RESPONSIBILITIES
- 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
TECHNICAL SKILLS REQUIREDAI Engineering & Large Language Models (LLMs)
- 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
Backend Engineering & API Development
- 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
Cloud, Infrastructure & DevOps
- 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
Mobile & Frontend Exposure
- 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
Solution Architecture & Technical Delivery
- 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
Tools & Methodologies
- Git, GitHub, Bitbucket, Jira, Confluence, Agile, and Scrum delivery environments
- Experience working across multiple concurrent projects in fast-paced delivery environments
Nice to Have
- 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
EXPERIENCE & QUALIFICATIONS
- 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
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
WHAT WE OFFER
- 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
HOW TO APPLY
Interested candidates can send their updated resume to:
hrindia@elephantintheboardroom.co.in
malini@elephantintheboardroom.co.in
Subject Line:
Application – Senior AI Engineer – Mobile & Digital Applications
Elephant in the Boardroom
Chennai, India
www.elephantintheboardroom.com.au
Click on Apply to know more.