AI Engineer | Agentic AI & Full-Stack Development

Company: INNOVERIC

Workplace Type: Remote (Work from Home)

Position: AI Engineer

About the Role

At INNOVERIC, we help companies design, build, and scale intelligent software solutions using cutting-edge AI technologies.

We're currently hiring an AI Engineer to work on an exciting project focused on building a next-generation AI-powered communication super app, bringing intelligent agents, communication channels, and automated workflows together into a unified platform.

We're looking for a passionate engineer with solid expertise in Agentic AI, multi-agent orchestration, and AI-native software development who enjoys building reliable, scalable, production-ready applications.

Key Responsibilities

- Design, develop, and deploy AI agents and multi-agent systems.
- Build intelligent workflows using LangGraph, Google ADK, CrewAI, Vercel AI SDK, or similar frameworks.
- Develop agent harnesses, memory management, tool calling, and multi-agent orchestration.
- Integrate external services and communication platforms using MCP, A2A, REST APIs, and third-party integrations.
- Build scalable backend services and full-stack applications using Python and TypeScript.
- Implement agent evaluations, automated testing, monitoring, and observability.
- Leverage AI coding agents to accelerate software development while maintaining engineering quality.
- Collaborate with cross-functional teams to deliver production-ready AI solutions.

Required Skills & Experience

AI & Agent Engineering

- Hands-on experience with LangGraph, Google ADK, CrewAI, Vercel AI SDK, or similar frameworks.
- Strong understanding of LLM applications, agent orchestration, tool calling, and memory management.
- Familiarity with MCP, A2A, REST APIs, and third-party integrations.

Software Engineering

- Strong programming skills in Python and TypeScript.
- Experience with FastAPI, Next.js, React, or similar frameworks.




- Experience with Supabase (PostgreSQL) or other relational databases such as MySQL or SQL Server.
- Knowledge of OAuth 2.0 and authentication systems.

Cloud & DevOps

- Experience with cloud platforms such as Scaleway, AWS, GCP, or Azure.
- Proficiency with Git, Docker, and CI/CD pipelines.
- Experience with unit testing, integration testing, monitoring, and observability.

AI-Native Development

- Hands-on experience using Claude Code, OpenAI Codex, Pi, or similar AI coding agents.
- Familiarity with AI-assisted software development, agent harness engineering, and modern engineering workflows.

What We're Looking For

- Strong software engineering fundamentals and problem-solving abilities.
- A builder's mindset with a passion for agentic AI.
- Ability to independently design and deliver end-to-end applications.
- Experience translating business requirements into reliable software.
- Curiosity about emerging AI technologies and modern software engineering practices.

Why Join Us?

At INNOVERIC, we work on real-world AI applications, from Voice AI and Agentic AI to multi-agent systems, model fine-tuning, and AI-native software engineering.

But beyond technology, we value people more than technology.

We believe great companies are built through trust, genuine human connections, and growing together.

- Real-world impact: Build AI solutions that solve actual business problems.
- People first: We value your ideas, individuality, and contributions beyond your technical skills.
- Grow together: As we grow, you grow with us.



Your personal and professional growth matters.
- No ego, no politics, no games: We believe in transparency, mutual respect, and honest collaboration.
- Ownership and opportunity: Take initiative, experiment, make decisions, and grow with the company.

No ego. No manipulation. Just meaningful business, genuine human connections, and shared growth.

That's the culture we're building at INNOVERIC.

How to Apply

We want to see what you've built, not just read about it!

If you've developed full-stack AI applications, AI agents, or multi-agent systems, we'd love to see your work.

1. Your CV

Include your relevant engineering experience and technical projects.

2. Video Demo of Your Work (Required)

Record a short walkthrough of an AI application or agentic system you've personally developed.

Your video should explain

- What you built: The problem you're solving and a working demonstration of your application.
- How it works: Walk us through the key features, workflows, and AI capabilities.
- System Architecture: Explain the overall architecture, tech stack, and how the components interact.
- AI System Design: Explain your approach to agent orchestration, memory, tool calling, data flow, and LLM integration, where applicable.
- Engineering Decisions: Share why you chose your architecture, the trade-offs you considered, and the technical challenges you solved.

Upload your video to Loom, YouTube (unlisted), Google Drive, or a similar platform and share an accessible link.

Please avoid sharing confidential information or proprietary client code.

3. GitHub Repository (Optional)

Share your GitHub repository or relevant technical documentation, if available.

How to Submit

Click Easy Apply on this LinkedIn job posting and submit your CV along with your video demo link.

A CV alone is not enough. We want to understand how you think, design, and build AI systems.

📌 Full Stack AI Engineer (India)
🏢 Innoveric
📍 India