2 months ago
Mumbai, IndiaEntry Level / Mid Level
Responsibilities
- Build and deploy production LLM-powered AI agents, including voice agents.
- Own the end-to-end AI system lifecycle from problem scoping and design through deployment, monitoring, and iteration.
- Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability.
- Work directly with customers and Implementation Managers to understand workflows, solve problems, and support successful go-lives.
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 take ownership, work in ambiguity, and ship quickly.
- Comfort working 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.
- Opportunity to work on production AI systems rather than demos.
- End-to-end ownership and 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.