- Design, develop, and deploy AI-powered solutions using LLMs and agentic frameworks.
- Build and optimize prompt engineering strategies to ensure high-performance language model behavior.
- Create and maintain autonomous AI agents capable of executing complex multi-step task.
- Develop, test, and iterate on real-world AI workflows integrated into broader applications.
- Collaborate with product managers, designers, and engineers to translate business problems into scalable AI solutions.
- Monitor and fine-tune AI models in production for accuracy, performance, and cost-effectiveness.
- Stay current with emerging trends in generative AI, LLMs, agent-based architectures, and MLOps.

Requirements
- 2+ years of hands-on experience in AI/ML engineering or applied NLP.




- Proven experience with Prompt Engineering and customizing large language model behavior.
- Experience developing or integrating Agentic AI frameworks (e.g., LangChain, AutoGPT, CrewAI, etc.).
- Robust understanding of LLMs (e.g., GPT-4, Claude, Mistral, Gemini, etc.) and how to apply them in workflow automation.
- Demonstrated ability to deploy working AI solutions and pipelines in production environments.
- Proficient in Python and relevant AI libraries (Transformers, OpenAI SDK, LangChain, etc.).
- Familiarity with RESTful APIs, cloud platforms (e.g., Azure, AWS, GCP), and version control tools (e.g., Git)

📌 AI Engineer (Pune)
🏢 simulationHub
📍 Pune