About Exponentia.ai
Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.
We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.
Awards & Recognitions:
- Innovation Partner of the Year – Databricks, 2024
- Digital Impact Award, UK – 2024 (TMT Sector)
- Rising Star – APJ Databricks Partner Awards 2023
- Qlik’s Most Enabled Partner – APAC
With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.
Learn more: www.exponentia.ai
About the Role
We are looking for AI / GenAI Engineers with 3–6 years of experience in designing, building, and deploying enterprise-grade AI applications. The ideal candidate should have hands‑on experience developing end‑to‑end AI solutions using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Vector Search, and API‑based integrations. This role requires engineers who can take AI products from concept to production, rather than focusing solely on prompt engineering.
Roles & Responsibilities
- Design, develop, and deploy end-to-end AI/GenAI applications for enterprise use cases.
- Build and implement RAG-based solutions leveraging LLMs and enterprise data sources.
- Integrate AI models with business applications through APIs and microservices.
- Develop and manage Vector Search implementations for efficient knowledge retrieval.
- Fine‑tune, evaluate, and optimize AI models for performance, scalability, and accuracy.
- Deploy AI applications in production environments and monitor their performance.
- Collaborate with business stakeholders, product teams, and engineers to translate requirements into AI solutions.
- Implement security, governance, and best practices for enterprise AI deployments.
- Troubleshoot, maintain, and continuously improve deployed AI systems.
Preferred Skills
Mandatory Skills
- AI Application Development
- Large Language Models (LLMs)
- Retrieval‑Augmented Generation (RAG)
- Python
- API Development & Integration
- AI/ML Model Deployment
- Vector Databases / Vector Search
- Enterprise AI Solution Development
- Production Implementation Experience
Good to Have
- LangChain, LlamaIndex, Semantic Kernel, or similar AI frameworks
- Knowledge Graphs and Advanced Retrieval Techniques
- Azure OpenAI, AWS Bedrock, or other cloud AI platforms
- Docker, Kubernetes, and MLOps practices
- Machine Learning & Deep Learning fundamentals
- Experience building chatbots, copilots, intelligent search, or agentic AI solutions
Candidate Profile
- 3–6 years of software engineering and AI development experience.
- Proven experience building and deploying AI applications into production environments.
- Strong understanding of LLM architectures, prompt orchestration, RAG, and vector databases.
- Hands‑on experience integrating AI solutions with enterprise systems and APIs.
- Ability to independently design, develop, and scale AI applications end-to-end.
- Strong problem‑solving, debugging, and stakeholder management skills.
Why Join Exponentia.ai?
- Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
- Shape the Practice: Build a marquee capability from the ground up with full ownership
- Work with the Best: Collaborate with top‑tier talent and learn from industry leaders in AI
- Global Exposure: Be part of a high‑growth firm operating across US, UK, UAE, India, and Singapore
- Continuous Growth: Access to certifications, tech events, and partner‑led innovation labs
- Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership.