Artificial Intelligence Engineer

GrowQR; Dadri; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

GrowQR, an AI-native career platform in India, seeks a senior Python/AI engineer to own end-to-end features in our FastAPI-based codebase. You will design data models, implement service code, and advance multi-agent orchestration with real-time performance in production.

You will ensure high-quality LLM outputs and cost control, while integrating Redis, PostgreSQL, Docker and AWS in a scalable cloud setup. You will ship personally impactful, agentic capabilities, maintain clear audit trails, and

Qualifications

• 5+ years of production Python experience with strong FastAPI expertise.
• You must work natively within the existing FastAPI codebase and conventions.
• Shipped LLM-powered features to real users with prompt iteration and cost control.
• Experience operating agentic systems: tool calling, multi-agent orchestration, memory and retrieval.
• Knowledge of Redis, PostgreSQL, Docker and a major cloud provider; reading container logs and slow queries.
• Fluency with AI coding harnesses such as Claude Code.
• Strong written communication: plans, RCAs and runbooks.

Responsibilities

• Design, build and ship product features end to end: data model, service code, orchestrator routing, prompts and frontend surface.
• Build autonomous agent capabilities: multi-step planning, tool use, memory, scheduling and audit trails.
• Own LLM output quality through evals, golden sets, calibration and shadow runs before any prompt or model change ships.
• Extend multi-agent orchestration, cross-agent memory and retrieval with embeddings.
• Harden real-time voice and video sessions for latency, reconnection, session limits and cost.
• Manage the model layer as a product surface: evaluating new models, migrations, token budgets and caching.
• Debug production issues using Sentry, PostHog and service logs; write RCAs and land fixes with tests.
• Deploy to production and QA environments on AWS and keep CI green across repositories.

Tools

Redis

PostgreSQL

Docker

AWS

Sentry

PostHog

Claude Code

Python

FastAPI

Written communication

Job description

GrowQR is an AI-native career platform. Job seekers get a team of AI coaches for resumes, interviews, roleplays, career pathways, courses and job search, unified by a conversational super-agent and a single readiness score. We serve individual seekers in India and partner with colleges, with international expansion planned.

The role

Responsibilities

• Design, build and ship product features end to end: data model, service code, orchestrator routing, prompts, evaluations and the frontend surface.
• Build autonomous agent capabilities: multi-step planning, tool use, memory, scheduled runs, approval-gated actions and clear audit trails.
• Own LLM output quality through evals, golden sets, calibration and shadow runs before any prompt or model change ships.
• Extend multi-agent orchestration, cross-agent memory and retrieval with embeddings.
• Harden real-time voice and video sessions for latency, reconnection, session limits and cost.
• Manage the model layer as a product surface: evaluating new models, migrations, vendor drift, token budgets and caching.
• Debug production issues using Sentry, PostHog and service logs, write root-cause analyses and land fixes with tests.
• Deploy to production and QA environments on AWS and keep CI green across repositories.

Requirements

• 5+ years of production Python, with strong FastAPI experience.

You must be able to work natively within our existing FastAPI codebase and conventions rather than introduce a parallel stack.

• Shipped LLM-powered features to real users, including prompt iteration, evaluation and cost control.
• Built and operated agentic systems in production: tool calling, multi-agent orchestration, structured output, retrieval, streaming, guardrails and failure handling.
• Working knowledge of Redis, PostgreSQL, Docker and a major cloud provider, and comfort reading container logs and slow queries.
• Fluency with an AI coding harness such as Claude Code, and the judgement to direct it well.
• Clear written communication: plans, RCAs and runbooks.

Preferred

• Real-time audio or video with live multimodal model APIs, LiveKit or WebRTC.
• DSPy or another prompt-optimisation framework.
• Next.js and TypeScript, enough to ship your own UI.
• Scraping and data pipelines (Apify).

Python 3.12, FastAPI, SQLAlchemy, Alembic, DSPy, latest frontier LLMs and real-time multimodal APIs, Google ADK, Redis, PostgreSQL with pgvector, Docker, AWS (EC2, RDS, ALB, WAF, SES, S3, CloudFront), nginx, Next.js 16, React 19, TypeScript, Tailwind, Clerk, Sentry, PostHog, Claude Code.