About the Role
We are building an AI/ML-enabled SAAS solution to help manage the cash performance of enterprises. You would be working on solving complex problems in the FinTech space.
Key Responsibilities
- Own the design and development of the core areas of Auditoria’s product, leveraging the latest tech stack hosted on AWS cloud.
- Build and optimize AI-powered features leveraging LLMs, RAG pipelines, and agentic workflows integrated into Auditoria's finance automation platform.
- Collaborating across multiple teams/timezones to help deliver quality solutions as per roadmap.
- Partner with business teams to deliver incremental value to clients.
- Champion Auditoria’s values and tech culture.
Qualifications
- 10+ years of professional, hands-on experience developing and shipping complex software systems.
- BS or MS in Computer Science or related Engineering degree (preferably from IIT/NIT/BITS).
- Hands-on experience building applications that integrate LLMs (OpenAI, Anthropic Claude, or similar) into production workflows, prompt engineering, output validation, and cost/latency optimization.
- Experience with RAG pipelines, vector databases, embedding models, or agentic AI frameworks (LangChain, LangGraph) is a strong plus
- Worked with many of the following: multi-tenant SaaS, CI/CD environments, monitoring tools, Kubernetes and containers, Istio, workflow engines, data stores (RDBMS, Cassandra, Neo4j), AWS services, integrations with enterprise systems (SSO, email, etc.).
- Experience with system design & data modeling; familiarity with RDBMS and Big Data.
- Hands-on experience building applications leveraging AWS services like Step Functions, RDS, Cassandra, Kinesis, and ELK is a big plus.
- Fluent coding skills in Node.js; working proficiency in Python for AI/ML integration and data pipeline work is a plus
- Embraces startup setup, can work through unknowns, resource constraints & multiple priorities with creativity & resourcefulness.
- Experience with the Agile development process and zeal for engineering best practices.
- Must be located in or near Hyderabad, Telangana to be considered.