Responsibilities
- Design, Develop and Build robust enterprise application solutions using modern full-stack technologies, and develop next-generation agentic solutions.
- Utilize and manage CI/CD pipelines for seamless, automated code deployments across various environments.
- Optimize API performance focusing on response time, reliability, scalability, and resource efficiency.
- Leverage AI tools, such as GitHub Co-Pilot, to actively manage and reduce code complexity, redundancies, and inefficiencies.
- Develop prototypes and execute Proof of Concepts including creating sophisticated design agents utilizing cutting-edge AI frameworks such as LLMs and RAG, MLOps, Python.
- Drive root cause analysis and implement long-term solutions for production issues to ensure system reliability and performance
- Take ownership of software deliverables, ensuring high standards in quality, security, scalability, performance, and maintainability
What you will bring
- 2 Years of experience in AI frameworks, ML Ops, RAG architectures, LLMs, Agentic AI and AI deployment models for internal and external platforms.
- 8+ years of overall software engineering experience including AI and delivering complex, large-scale commercial applications or platform services in the finance domain.
- Proficiency in full-stack development in modern frontend frameworks like React JS.
- Hands-on proficiency with Python and modern frameworks (Django, FastAPI) for backend services and automation.
- Experience with Enterprise Finance Application domain preferably Oracle Fusion Cloud or similar
- Expert-level command of web service technologies (REST, SOAP, JSON/XML), modern API practices, and designing high-performance integrations.
- Strong technical command of SQL and familiarity with cloud-native technologies (Docker, Kubernetes) and CI/CD pipelines.
- Excellent communication skills with deep experience working in Agile environments (Scrum) using Jira and Confluence.
Preferred Qualifications
- General understanding of Finance business processes, including Accounts Receivable, Payables, Procurement , Subscription Management, Pricing, and Product Information Management (PIM)
- Experience with cloud services from major public cloud platforms (AWS, Azure, Google Cloud, Oracle OCI)
Industry:
AI & Machine Learning
Seniority Level:
Mid-Level