About The Role
We are hiring a GenAI Engineer who can code, build, and deploy production-ready AI solutions. The ideal candidate is hands-on with Python, LLM frameworks (Lang Chain, Llama Index), and has experience in creating reusable agentic components. You'll work on integrating both OpenAI and open-source LLMs into scalable, cloud-based solutions that deliver real business value.
Key Responsibilities
- Design, build, and deploy LLM-powered applications and agents for automation and workflow optimization.
- Develop reusable agentic components aligned with our tech stack.
- Work hands-on with Python, Lang Chain, and Llama Index.
- Leverage OpenAI APIs and open-source LLMs (e.g., GPT, Llama, Gemini, etc.).
- Prepare and process structured/unstructured datasets for fine-tuning or training models.
- Deploy scalable solutions on cloud platforms (Azure preferred) and manage the lifecycle with MLOps best practices.
- Stay up to date with the latest GenAI/LLM advancements and apply them to real-world problems.
Qualifications & Skills
- 3 to 5 years total experience, with 3+ years in NLP/LLMs.
- Strong Python coding skills (must be hands-on).
- Proven experience with Lang Chain, Llama Index, and other agentic frameworks.
- Ability to design reusable, production-grade AI components.
- Practical experience with both proprietary (OpenAI) and open-source LLMs.
- Experience deploying solutions on Azure (preferred) or other major cloud platforms.
Strong problem-solving skills with a focus on building, not theory.