Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 bank, mid-level AI role, metro location, broad GenAI skills create high applicant competition.
Specialized GenAI, LLM, and data-engineering skills require strong domain-specific background.
Explicit years plus mandatory AI, data engineering, and cloud tech make shortlisting strict.
Design, develop, and deploy enterprise AI applications and Generative AI solutions using LLMs, Agentic AI, RAG, and knowledge retrieval architectures.
Develop scalable Python-based applications, APIs, microservices, and data engineering pipelines leveraging cloud-native and distributed processing technologies.
Contribute to engineering standards, AI/LLMOps frameworks, and collaborate across teams to deliver secure, reliable, and production-ready AI solutions.
2+ years of software engineering experience or equivalent through work experience, training, military experience, or education.
Experience with Python development, APIs, and cloud-native application development.
Work Experience Required: 3-6 years, including 1-3 years in Generative AI or LLM-based applications.
Not explicitly mentioned: Degree requirement, notice period, or location constraints.
Experienced in designing and building large-scale enterprise AI applications and AI-driven automation.
Skilled in data engineering, with hands-on experience building ETL/ELT pipelines and distributed data processing using technologies like Spark and Databricks.
Demonstrates expertise in Generative AI frameworks (LangChain, LangGraph), knowledge retrieval systems (Pinecone, FAISS, Neo4j), and AI/LLMOps practices for production deployment.