Prompt Engineer — Conversational AI & RAG

Pronix Inc; Hyderabad; On-site; INR 540,000 - 660,000; Full time

Job summary

Pronix Inc in Hyderabad, India, is seeking a seasoned software/AI engineer to design and deliver enterprise AI agents, copilots and conversational experiences. You will work on tool use, multi-agent orchestration, and safe, cost-aware production deployments, spanning discovery to production.

Responsibilities include integrating models and APIs across cloud platforms, creating evaluation suites for quality and safety, and collaborating with client teams through discovery, prototyping and

Qualifications

• 4+ years in software or AI engineering, including hands-on delivery of conversational AI, generative AI, RAG or agentic systems.
• Strong Python or TypeScript skills and experience integrating LLM APIs, vector search, tool/function calling and enterprise APIs.
• Working knowledge of agent frameworks and major cloud AI platforms; experience with evaluation, security, privacy and production monitoring.
• Clear client-facing communication and the ability to translate business workflows into testable AI capabilities.

Responsibilities

• Build production AI agents, copilots and conversational experiences with tool use, multi-agent orchestration, governed RAG and human-in-the-loop controls.
• Integrate models, enterprise knowledge, APIs and business systems across leading cloud and agentic AI platforms without locking delivery to one vendor.
• Create evaluation suites for answer quality, safety, latency and cost; improve prompts, retrieval, routing and guardrails using measured results.
• Partner with architects, product owners and client teams through discovery, prototyping, deployment, observability and ongoing optimization.

Skills

Python

TypeScript

LLM APIs

Vector search

Tool calling

Enterprise APIs

Agent frameworks

Cloud platforms

Tools

LangChain

OpenAI API

Pinecone

Job description

Design, build and operate enterprise agentic, conversational and generative AI solutions from discovery and prototypes through secure production deployment.

Responsibilities

• Build production AI agents, copilots and conversational experiences with tool use, multi-agent orchestration, governed RAG and human-in-the-loop controls.
• Integrate models, enterprise knowledge, APIs and business systems across leading cloud and agentic AI platforms without locking delivery to one vendor.
• Create evaluation suites for answer quality, safety, latency and cost; improve prompts, retrieval, routing and guardrails using measured results.
• Partner with architects, product owners and client teams through discovery, prototyping, deployment, observability and ongoing optimization.

Requirements

• 4+ years in software or AI engineering, including hands‑on delivery of conversational AI, generative AI, RAG or agentic systems.
• Strong Python or TypeScript skills and experience integrating LLM APIs, vector search, tool/function calling and enterprise APIs.
• Working knowledge of agent frameworks and major cloud AI platforms; experience with evaluation, security, privacy and production monitoring.
• Clear client‑facing communication and the ability to translate business workflows into testable AI capabilities.

Expected outcomes

• Ship production agents and copilots that meet quality, safety and cost targets.
• Deliver integrations across platforms without vendor lock‑in for clients.
• Establish evaluation suites that make agent quality measurable and improvable.