We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AI solution along with the ability to architect end-to-end AI systems aligned with business objectives.
Key Responsibilities
Design and implement end-to-end AI/Gen AI solutions.
Architect scalable and secure AI systems using cloud platforms.
Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt
engineering, LLM-as-Judge, and fine-tuning.
Collaborate with cross-functional teams and customer to translate business requirements into AI solutions.
Should have knowledge and worked in SDLC process and understand DevOps
practices/workflows.
Stay updated with emerging AI trends and evaluate new tools/technologies.
Mentor junior engineers and guide best practices in AI development.
Required Skills
Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and
configure the LLMOPS and production grade AI System.
Hands-on experience with Generative AI (LLMs, embedding, prompt engineering).
Understands the Agile process and involve in technical scoping and estimations
Strong problem-solving and analytical skills.
Experience working on production-grade AI systems.
Nice to Have
Certifications in Gen AI/AI/ML in Azure/Databricks platforms.
Should have some foundational knowledge with Azure Cloud
Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.
Shubham Vishwakarma
Full Stack Developer - Averlon
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