Key Responsibilities

AI Solution Development

- Design, develop, and deploy AI/ML models and generative AI applications.

- Build AI-powered solutions using large language models (LLMs), machine learning frameworks, and cloud AI platforms.

- Develop AI agents, intelligent workflows, retrieval-augmented generation (RAG) systems, and automation solutions.

- Integrate AI capabilities into enterprise applications and business processes.

- Evaluate, fine-tune, and optimize AI models for performance, accuracy, scalability, and cost efficiency.

Machine Learning Engineering

- Develop and maintain machine learning pipelines from data preparation through model deployment.

- Implement model training, testing, validation, monitoring, and continuous improvement processes.

- Apply machine learning techniques including natural language processing (NLP), classification, prediction, recommendation, and anomaly detection.

- Conduct model evaluation using appropriate metrics and business outcomes.

Generative AI Engineering

- Develop applications leveraging foundation models and LLM technologies.

- Design effective prompt engineering strategies and reusable prompt frameworks.

- Build RAG architectures using enterprise data sources, vector databases,



and knowledge repositories.

- Implement AI guardrails, security controls, responsible AI practices, and governance requirements.

- Optimize AI applications for reliability, explainability, and user experience.

Software Engineering & Integration

- Write clean, maintainable, and production-quality code.

- Develop APIs, microservices, and AI-enabled applications.

- Integrate AI solutions with enterprise platforms, databases, and cloud environments.

- Support DevOps, MLOps, CI/CD, and automated deployment processes.

- Troubleshoot performance, reliability, and scalability issues.

Collaboration & Delivery

- Partner with AI Architects to implement enterprise AI strategies and technical designs.

- Work with business analysts and stakeholders to translate business needs into AI solutions.

- Participate in Agile development processes including planning, development, testing, and demonstrations.

- Document AI solutions, technical designs, models, and operational procedures.

- Stay current with emerging AI technologies, frameworks, and industry best practices.

Spotlight

- WFH setup

📌 Senior AI Engineer (India)
🏢 Artech Infosystems Private
📍 India