Job Summary

Design and build secure, scalable, and high-performing enterprise AI applications using modern AI technologies and engineering practices.

Location: Hyderabad

Work from office

Role Overview

We are looking for a hands-on AI Engineer to design, develop, and deliver enterprise-grade AI applications.

The role focuses on application engineering rather than model development. You will use modern AI technologies to build reliable solutions that meet enterprise requirements for quality, security, performance, scalability, and token efficiency.

Key Responsibilities

- Design, develop, test, and deploy enterprise-grade AI applications.
- Integrate large language models and AI services with business applications, workflows, APIs, enterprise data sources, and systems.
- Build solutions using modern AI application patterns such as retrieval-augmented generation, semantic search, embeddings, vector retrieval, and agentic workflows.
- Develop reusable application components, services, prompts, integrations, and evaluation workflows.
- Optimise prompts, context, model usage, and application workflows to improve token efficiency, latency, response quality, and cost.
- Implement appropriate security controls, access restrictions, data-protection measures, guardrails, and human oversight.
- Establish evaluation and testing approaches covering response quality, accuracy, relevance, reliability, safety, and performance.
- Monitor AI applications in production and troubleshoot issues related to quality, latency, failures, integrations, and resource utilisation.
- Develop maintainable, well-documented code using established software-engineering practices.
- Collaborate with architects, application developers, security teams, product teams, and business stakeholders throughout the development lifecycle.
- Evaluate emerging AI tools and application frameworks for their suitability in enterprise use cases.
- Contribute to code reviews,



technical documentation, engineering standards, and continuous improvement.

Required Qualifications

- 5 to 8 years of experience in software or application development, including hands-on experience building production-grade AI applications.
- Solid programming and software-engineering skills, preferably using Python or another relevant backend technology.
- Experience integrating applications with large language models, AI platforms, APIs, enterprise data sources, and business systems.
- Understanding of modern AI application patterns, including prompt engineering, context management, RAG, embeddings, semantic search, and vector databases.
- Experience developing secure, scalable, reliable, and high-performing enterprise applications.
- Understanding of AI application evaluation, testing, guardrails, observability, and production monitoring.
- Experience optimising AI applications for response quality, latency, token consumption, and cost.
- Knowledge of API development, authentication, authorisation, data security, and enterprise-integration practices.
- Strong analytical, debugging, problem-solving, communication, and collaboration skills.
- Ability to work independently while contributing effectively within cross-functional engineering teams.

Preferred Qualifications

- Experience building agentic AI applications or tool-enabled AI workflows.
- Experience deploying and operating AI applications in cloud or enterprise environments.
- Familiarity with containerisation, CI/CD, automated testing, and modern application-development practices.
- Experience applying responsible AI, privacy, security, and governance controls.
- Demonstrated experience taking AI applications from prototype or proof of concept to production.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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