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 (LangChain, LlamaIndex), 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, LangChain, and LlamaIndex.
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:
3–10 years total experience, with 4+ years in NLP/LLMs.
Strong Python coding skills (must be hands-on).
Proven experience with LangChain, LlamaIndex, 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.
Python, LangChain, LlamaIndex, Agentic Frameworks, OpenAI APIs, Open-source LLMs, NLP, LLMs, Data Preparation, Model Fine-tuning, Azure, MLOps, Cloud Deployment, Automation Workflows, Problem-solving