Senior Full-Stack AI Engineer

Experience : 3.00 + years

Salary : Confidential (based on experience)

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full time Permanent Position

**(*Note: This is a requirement for one of Uplers' client - CellStrat)

**What do you need for this opportunity?

Must have skills required: Python, FastAPI, Agentic AI, multi-agent AI systems, react, Next.js, TypeScript

CellStrat is Looking for:**** CellStrat is an AI startup with two sides to the business. The services arm builds end-to-end AI engineering solutions for US-based clients across industries. The product side is CellAssist, a healthcare AI platform with a voice-first approach — AI receptionists, automated patient triage, and admin operations powered by voice agents.

This role sits primarily on a US client project (80%), with a partial contribution to CellAssist (20%). As a senior engineer, you will own features end to end, shape architecture, review code, talk directly to clients, and be expected to figure things out without being handed a spec.

• What You'll DoOwn features end to end — design, build, review, test, release, and monitor what you ship.
• Design and build backend systems in Python and FastAPI, from architecture to production.
• Architect SaaS platforms and reason about platform-level concerns: multi-tenancy, service boundaries, data models, async workflows, and infrastructure.
• Design and build agentic and multi-agent AI systems from first principles: agent orchestration, tool and MCP server integrations, memory and state handling, evals, and guardrails.
• Apply production LLM engineering — prompt engineering, context management, memory strategies, and prompt caching — to control latency, cost, and reliability.
• Review code across the team with a sharp eye for correctness, design, security, and maintainability, including AI-generated code.
• Contribute to frontend work in React, Next.js, or TypeScript when needed.
• Join US client calls (night IST) and do the work of understanding the domain, not just collecting feature tickets.
• Use AI-assisted development tooling (Cursor, Claude Code) to ship fast without cutting corners.
• Must-Have Requirements
• Python as primary backend language — FastAPI is the default framework; intermediate-to-strong fundamentals (OOP, decorators, generators, async); not a Node.js-first engineer who recently added Python.
• Production-grade agentic or multi-agent AI system — built and shipped at least one agentic system used by real users; can speak to user feedback, challenges, and production constraints.
• Software architecture ownership — has designed systems from scratch: HLD, LLD, service boundaries, data models, async workflows, multi-tenant patterns; can explain decisions and trade-offs in plain language.
• Trade-off reasoning — can justify technology choices over alternatives (e.g. why RAG vs. no RAG, why a particular vector DB or deployment method); does not default to stacking frameworks without rationale.
• Actively writing code — still hands-on daily; uses AI coding tools (Cursor, Claude Code) to accelerate, not replace, their own coding ability.
• Night IST availability — genuinely comfortable with regular evening/night US client calls (1–1.5 hrs; daily, alternate, or weekly depending on client); available for occasional weekend production support.
• LLM-layer engineering — prompt engineering, context management, memory management, and prompt caching in real production systems.
• React, Next.js, or TypeScript working knowledge — enough to make feature changes and debug UI issues; full frontend ownership not required.
• Good to HavePure Python agent implementation without LangChain or LlamaIndex — built agents from first principles.
• Active GitHub profile with recent Python/FastAPI projects (not predominantly Jupyter Notebooks).
• GCP experience beyond Cloud Run (GCS, IAM, Pub/Sub, Cloud Tasks).
• LLMOps familiarity — evals infrastructure, prompt versioning, AI observability in production.
• Experience leading design reviews or mentoring through code review.
• Custom AI-assisted development workflow built or customised beyond IDE defaults.
• Prior US client-facing engineering experience.
• Interview ProcessRound 1: Proctored live coding — HM joins for 5 minutes to explain; candidate fixes missing Python/FastAPI code in a provided zip project within 20 minutes (recorded).
• Take-home assignment: Full-fledged agentic project using AI tools; 1–2 days; must be running and explainable at the interview.
• Round 2: Deep technical interview based on the take-home — explain code line by line, system design critique, and live improvisation of the assignment.
• What CellStrat Offers₹25–35 LPA fixed CTC based on experience, with ESOP opportunities.
• Fully remote role with flexible working hours.
• Direct exposure to production AI product and client engineering — not internal tooling or mock projects.
• Constant hands-on exposure to the latest models, cloud infrastructure, and agent tooling as the field moves.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!