Back
Strong Tier-1 brand and mid-level AI role increase competition despite specialized LLM requirements.
LLM and cloud engineering skills transfer widely, but HR consulting and enterprise productization increases domain sensitivity.
Mandatory 5–7 years plus 3–4 years LLM experience, cloud and leadership needs increase filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead the design, development, deployment, and support of enterprise AI products with a focus on Generative AI/LLM-based applications.
Manage and mentor a team of 4-5 engineers, oversee sprint execution, resolve technical issues, and ensure scalable, secure cloud-native AI solutions.
Collaborate directly with clients to translate business needs into technical solutions, and own end-to-end product production including architecture review, cloud deployment, and operational handover.
5–7 years of software engineering experience with at least 3-4 years in Generative AI/LLM solution development.
Strong proficiency in Python, REST APIs, AI/ML, LLMs, Retrieval Augmented Generation (RAG), vector databases, and agentic AI frameworks like LangChain or LangGraph.
Experience with cloud platforms such as Azure, AWS, or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
Work Experience Required: 5–7 years in software engineering including Generative AI/LLM; Location: Ahmedabad as specified.
Experienced leader capable of managing a small engineering team delivering scalable and maintainable AI solutions.
Hands-on technical expert in architecting end-to-end Generative AI applications with cloud-native deployment and production support experience.
Skilled in stakeholder engagement and cross-functional collaboration to align AI technical solutions with business requirements.