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Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp

First seen by Alion on Nov 4, 2026.

Overview
Company
Impact
Profile match
Zorba Consulting is an Indian data science and AI consulting firm headquartered in Mumbai that delivers analytics projects, AI program management, data-driven strategy work and data science training. Founded by former consultants of large consulting firms, it lists offices in Mumbai, Bangalore and London and serves Fortune 500 companies as well as SMEs and startups. Its openings, concentrated in Bengaluru, Chennai, Hyderabad and Pune, cover data scientists, data architects, Databricks and Palantir engineers, BI developers, ServiceNow and SAP EWM consultants and full stack engineers.

Role : Forward Deployed Engineer - AI Agents

Location : Bengaluru

About Prodigal :

Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day.

What You'll Do :

- Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases

- Own the end-to-end lifecycle of AI systems - from problem scoping and design to deployment, monitoring, and continuous iteration

- Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability

- Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations

What We're Looking For :

- 2+ years experience in Product backend / AI engineering

- Strong in Python + SQL

- Experience or exposure to LLMs, RAG, or prompt engineering

- High ownership, ability to work in ambiguity and ship fast

- Comfortable working with customers and cross-functional teams

Preferred Qualification :

- B. Tech, BE, or M. Tech in Computer Science or a related discipline, with 1 - 3 years of relevant experience

Bonus :

- Experience with production LLM systems / AI agents

- Familiarity with evaluation, agent tooling, or voice AI

- Experience with Databricks, MongoDB, or distributed systems

- Startup or customer-facing engineering experience

Why This Role :

- Work on real production AI systems (not demos)

- End-to-end ownership and fast iteration cycles

- Direct impact on enterprise customers and business outcome

Skills

Artificial Intelligence, Machine Learning, Python, SQL, Generative AI, Agentic AI, Prompt Engineering, AI Integration, Conversational AI

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