13 hours ago
Bengaluru, IndiaEntry Level / Mid Level
Responsibilities
- Build and deploy LLM-powered AI agents, including voice agents, for production use cases.
- Own the end-to-end lifecycle of AI systems from scoping and design through deployment, monitoring, and iteration.
- Design and optimize prompts, RAG pipelines, and evaluation frameworks for accuracy, latency, and reliability.
- Collaborate directly with customers and Implementation Managers to understand workflows, solve problems, and support successful go-lives.
- Work with cross-functional teams and operate with high ownership in an ambiguous, fast-moving environment.
Requirements
- 1–3 years of experience in backend, data, or AI engineering.
- Strong Python and SQL skills.
- Experience or exposure to LLMs, RAG, or prompt engineering.
- Ability to work in ambiguity, ship quickly, and collaborate with customers and cross-functional teams.
- Preferred: B.Tech, BE, or M.Tech in Computer Science or a related discipline.
- Bonus: experience with production LLM systems, AI agents, evaluation, agent tooling, voice AI, Databricks, MongoDB, distributed systems, startups, or customer-facing engineering.
Benefits
- In-office work arrangement.
- Work on real production AI systems rather than demos.
- End-to-end ownership with fast iteration cycles.
- Direct impact on enterprise customers and business outcomes.
Categories
About Prodigal
Prodigal builds a SaaS AI platform for consumer finance lenders and debt-collection operations to analyze conversations, guide agents, and automate compliance and recovery workflows. The company serves enterprises across North America with products for speech analytics, interaction intelligence, and collections optimization. Founded in 2018 and headquartered in Mountain View, California, Prodigal is privately held.