- Design, develop, and deploy scalable Generative AI and LLM applications .
- Build Agentic AI solutions and intelligent workflows for enterprise use cases.
- Develop AI applications using Python and modern machine learning frameworks.
- Apply Prompt Engineering and Context Engineering techniques to improve LLM performance.
- Work with Transformer architectures and embedding models .
- Build agentic workflows using frameworks such as LangGraph, AutoGen, CrewAI, Claude Code, or Gemini CLI .
- Fine-tune LLMs/SLMs for domain-specific and code-generation applications.
- Evaluate AI models for accuracy, hallucination, bias, safety, and overall quality .
- Develop and implement AI guardrails for production GenAI applications.
- Contribute to AI architecture, engineering standards,
and the organization’s Generative AI roadmap .
Key Skills
- 6+ years of overall software development experience.
- 2+ years of hands-on experience in Generative AI / LLM development .
- Solid programming skills in Python .
- Proven experience developing and deploying production-grade GenAI applications .
- Strong knowledge of Generative AI, LLMs, Prompt Engineering, and Context Engineering .
- Understanding of Transformer-based LLM architectures and Embeddings .
- Hands-on experience with Hugging Face Transformers, PyTorch, or TensorFlow .
- Experience with at least one Agentic AI framework , such as LangGraph, AutoGen, or CrewAI.
- Experience with LLM/SLM fine-tuning .