· Bachelor’s or Master’s degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.

· 3+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications.

· Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.

· Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.

· Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment.

· Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.

· Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Strong proficiency in programming languages such as Python, Java, Spring, Maven, JSON. Object Oriented Programming
· Hands-on exposure to cognitive architectures
or reinforcement learning in real-world deployments.
· Experience integrating AI agents into enterprise apps like Salesforce
or custom apps via APIs.
and ethical guidelines in GenAI systems.
Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required
then please apply now.

GenAI Engineer

Summary