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Open nowPosted 479 days ago

AI Engineer

Scrabble

Where
Bangalore
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Your applicationOpen nowAI EngineerScrabble · Bangalore

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Early applications get read.

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 479 days ago

The posting

AI Engineer – Multi-Agent Systems & Orchestration

## Job Summary We are forming a brand-new division focused on intelligent agents and LLM-based orchestration systems. As one of the first few engineers on this team, you will play a core role in shaping the architecture, agent lifecycle, and tooling stack from scratch. Your experience in building complex backend systems will be pivotal in designing a foundational AI layer for enterprise software, specifically geared toward multi-agent LLM automation.

## Responsibilities - LLM & Agent Frameworks: • Integrate and orchestrate multi-agent workflows using tools such as LangChain, LangGraph, OpenAI SDK, or similar frameworks. • Implement custom agent controllers for long-running tasks and structured tool usage.

  • Backend Development & Prototyping:
  • Build and maintain production-grade APIs and microservices using Python, TypeScript, Go, or Rust.
  • Rapidly prototype new agent capabilities while ensuring performance, modularity, and testability.
  • Infrastructure & Orchestration:
  • Own the agent orchestration layer using Kubernetes, Nomad, or Ficracker.
  • Design systems for resource scheduling, stateful agent execution, and process isolation.
  • Networking & Remote Access:
  • Develop stateful networking infrastructure with Traefik/Envoy for shell, browser, and desktop agents.
  • Manage VNC-based remote access ensuring low latency and high concurrency.
  • Cloud & DevOps:
  • Deploy and manage infrastructure across GCP, AWS, or Azure using Terraform/OpenTofu.
  • Build secure, zero-downtime CI/CD pipelines for infrastructure, agents, and models.
  • Experimental Innovation (~30% time):
  • Explore LLM fine-tuning, agent memory architectures, context persistence, and new agent frameworks.
  • Contribute ideas and code to internal research, technical talks, and open-source initiatives.

## Qualifications - Minimum 3+ years of backend or infrastructure engineering experience. - Proficiency in Python and TypeScript; hands-on experience with Go or Rust. - Experience with LLM frameworks such as LangChain, LangGraph, OpenAI, CrewAI, or similar tools. - Deep knowledge of Kubernetes, containers, and microservice orchestration. - Strong understanding of networking concepts, load balancers, and shell-based execution models. - Familiarity with Terraform/Helm, cloud platforms (GCP, AWS, or Azure), and CI/CD workflows. - A solution-first mindset with strong problem-solving skills and a drive to push technical boundaries.

## Preferred Skills - Previous experience in a tech lead, senior engineer, or architect role. - Demonstrated ability to design, debug, and scale robust backend systems. - Experience with experimental projects such as LLM fine-tuning and agent memory architectures. - Ability to work hands-on in a fast-paced, collaborative environment.

## Experience - 3–8 years of relevant backend or infrastructure engineering experience, with a track record of building clean, modular, and production-grade systems.

## Environment - Work from our Bangalore office in a dynamic, fast-moving environment. - Enjoy a collaborative setting where you are encouraged to lead innovations and take ownership of projects. - Opportunity to work with state-of-the-art technologies and contribute to a foundational AI platform.

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