Back
Tier-1 employer and Bangalore location increase applicant density despite specialized GenAI requirements.
GenAI and backend skills are transferable, but enterprise life‑sciences context adds moderate specificity.
Mandatory 7+ years and specific GenAI, cloud, and deployment skills create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy scalable Generative AI enabled applications and enterprise workflow automation solutions.
Develop and maintain Python-based microservices and APIs (preferably FastAPI) incorporating RAG and agentic workflows.
Collaborate with product owners and architects to convert business use cases into production-ready AI and data solutions, ensuring support and optimization of production systems.
7+ years of experience in backend development and developing AI solutions.
Strong Python programming skills and hands-on experience with SQL.
Experience with AWS or Azure cloud platforms and containerization technologies (Docker/Kubernetes).
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
Experienced in implementing Generative AI solutions including LLM and RAG-based systems in production environments.
Proficient in integrating CI/CD pipelines, DevOps best practices, and Git workflows for AI solution deployments.
Capable of working closely with cross-functional teams to align technical solutions with business needs and drive continuous improvements in performance and scalability.