Job Summary

- We are looking for a highly motivated AI Engineer to design, develop, and deploy enterprise AI solutions using Large Language Models (LLMs), Generative AI, and intelligent automation technologies. The ideal candidate should have hands-on experience with contemporary AI platforms such as Claude (Anthropic), Open AI GPT, Google Gemini, and other foundation models, along with strong programming and cloud integration skills.
- The candidate will be responsible for building AI-powered assistants, automating business workflows, integrating AI APIs into enterprise applications, and ensuring secure and scalable AI deployments.

- Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).
- Develop enterprise AI assistants, chatbots, document analysis solutions, and workflow automation tools.
- Integrate Claude (Anthropic), Open AI GPT, Google Gemini, or other LLM APIs into internal applications.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge bases.
- Build prompt engineering frameworks for accurate and reliable AI responses.
- Fine-tune prompts and optimize AI performance for business use cases.
- Develop AI agents capable of performing multi-step tasks and tool integrations.
- Work with vector databases for semantic search and knowledge retrieval.
- Integrate AI solutions with REST APIs, databases, Microsoft 365, SharePoint, SAP, CRM, ERP, and other enterprise systems.
- Implement AI security, governance, and responsible AI best practices. • Monitor AI application performance and optimize latency, cost, and accuracy.
- Collaborate with business teams to identify AI automation opportunities.
- Create technical documentation, deployment guides, and user documentation.




- Stay updated with the latest advancements in Generative AI and LLM technologies.

Nice-to-Have:

- MCP (Model Context Protocol) implementation experience.
- Multi-agent AI architecture.
- Voice AI applications.
- OCR and document intelligence.
- Computer Vision basics.
- AI workflow automation. •

Experience with GitHub Copilot, Claude Code, or AI-assisted software development.
- Experience integrating AI with enterprise ticketing and ITSM platforms. AI & Machine Learning
- Large Language Models (LLMs)
- Generative AI
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Semantic Search
- Vector Embeddings
- Natural Language Processing (NLP)
- Machine Learning fundamentals

Claude (Anthropic) Required Skills

- Hands-on experience with Claude API integration.
- Strong understanding of Claude models and their capabilities.
- Experience designing prompts specifically for Claude.
- Knowledge of Claude tool use/function calling.
- Experience building conversational AI solutions using Claude.
- Familiarity with Claude context management and long-context prompting.
- Experience implementing Retrieval-Augmented Generation (RAG) with Claude.
- Knowledge of Claude safety features and secure AI implementation.
- Experience optimizing prompts for accuracy, consistency, and reduced hallucinations.
- Understanding of Claude API authentication, rate limits, and production deployment.

Preferred Qualifications

- Bachelors degree in computer science, Information Technology, Artificial Intelligence, or a related field.
- AI/ML certifications are an advantage.
- Experience with enterprise AI deployments.
- Experience building production-ready AI applications.
- Knowledge of Responsible AI, AI governance, and data privacy.

📌 Artificial Intelligence Engineer (Hyderabad)
🏢 Anthea Pharma
📍 Hyderabad