Senior AI Engineer

Accountabilities: • Design, develop, and deploy scalable AI solutions, applications, services, workflows, and reusable capabilities that address real business needs.

• Develop and optimize Large Language Model (LLM) applications using prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, agentic workflows, and modern AI engineering techniques.

• Build AI capabilities that can be deployed and supported reliably in production and across enterprise environments.

• Implement and support MLOps, DataOps, and LLMOps practices covering model lifecycle management, deployment, monitoring, governance, and continuous improvement.

• Contribute to scalable, reliable, maintainable, and secure AI architectures that meet enterprise standards for performance and supportability.

• Collaborate with Product Owners, Architects, AI Scientists, Platform Engineering, and Data Engineering teams to industrialize and scale trusted AI solutions.

• Translate business opportunities into practical AI applications, agents, and reusable technical capabilities.

• Apply strong software engineering practices, architecture patterns, APIs, microservices, CI/CD, and cloud-native development principles to AI solutions.

• Contribute to the continuous improvement of AI engineering standards, processes, and reusable capabilities across the enterprise.

Requirements:

• 5+ years of software engineering experience , with significant hands-on experience building AI, machine learning, or advanced analytics solutions.

• Strong proficiency in Python and modern AI development frameworks, libraries, and tooling.

• Proven experience developing, deploying, and supporting production-grade AI, machine learning, or data-driven solutions in cloud environments.

• Strong understanding of software engineering practices, architecture patterns, APIs, microservices, CI/CD, and cloud-native development.

• Good understanding of modern AI methodologies, including LLMs, semantic models, knowledge and context graphs, RAG, and agentic AI architectures .

• Strong analytical and problem-solving skills, with the ability to translate complex business needs into scalable technical solutions.

• Effective communication and collaboration skills for working across multidisciplinary engineering and product teams.

• Experience building AI solutions for regulated industries such as life sciences, diagnostics, healthcare, or advanced manufacturing is a plus.

• Experience developing AI capabilities for knowledge extraction, decision support, process optimization, or workflow automation across enterprise data ecosystems is desirable.

• Knowledge of Responsible AI and enterprise AI governance , including model evaluation, explainability, bias assessment, and compliance with emerging AI regulations and frameworks, is an advantage.

Benefits:

• Full-time position based in India.

• Remote work arrangement , allowing eligible employees to work from home.

• Comprehensive and competitive employee benefits programs.

• Healthcare benefits supporting employee well-being.

• Paid time off.

• Flexible working arrangements for eligible roles.

• Opportunity to work on production-grade AI solutions with measurable enterprise impact.

• Exposure to multidisciplinary teams across AI engineering, product, architecture, data, platform, and operations.

• Opportunity to work with modern technologies including LLMs, RAG, agentic AI, MLOps, DataOps, and LLMOps.

• Professional growth opportunities within a global, technology-focused environment.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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