AI Engineer (2+ years of Experience)

RocketDevs empowers software engineers by bridging talent with global tech opportunities. We connect skilled developers with innovative projects, fostering an inclusive tech community.

We are seeking a AI Engineer with a strong focus on AI systems and agent development to join our team and work on client projects that leverage modern AI capabilities. This is a full-time, remote position focused on building intelligent, scalable backend systems and AI-powered agents for global clients.

Key Responsibilities

• Design, build, and maintain backend systems that power AI-driven applications.
• Develop and deploy AI agents capable of reasoning, planning, tool usage, and multi-step workflows.
• Integrate Large Language Models (LLMs) and AI APIs (e.g., OpenAI, Anthropic, Hugging Face) into backend services.
• Build and manage RESTful or GraphQL APIs for AI-powered features.
• Design data pipelines for storing prompts, embeddings, agent memory, and model outputs.
• Implement vector search and retrieval systems (e.g., embeddings, RAG pipelines).
• Optimize AI workflows for performance, cost, and reliability.
• Handle authentication, authorization, and secure access to AI services.
• Collaborate in architecture discussions, code reviews, and sprint planning.
• Explore and implement AI tooling to improve developer productivity and client outcomes.

Qualifications

• Strong software engineering experience with Python (FastAPI, Flask, Django) or Node.js (Express, NestJS) .
• Hands-on experience integrating LLMs or AI APIs into production systems.
• Experience building or experimenting with AI agents , including:

1. Tool calling / function calling
2. Multi-step reasoning or workflows
3. Agent memory or state management

• Solid understanding of API design, async processing, and background jobs.
• Experience with databases such as:

1. SQL (PostgreSQL - PgVector, MySQL)
2. NoSQL (MongoDB)
3. Vector databases (e.g., Pinecone, Weaviate, FAISS, Elasticsearch)
4. Familiarity with Redis or similar caching layers.

• Experience with Git & GitHub, Docker, and basic CI/CD workflows.
• Experience with web scraping and document parsing (HTML, PDFs).
• A deployed project (personal or professional) demonstrating an AI-powered backend system or agent is required.

Nice to Have

• Experience with RAG (Retrieval-Augmented Generation) systems.
• Familiarity with agent frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen).
• Experience with embeddings, prompt versioning, and evaluation.
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI models to tools, data sources, and environments.
• Experience building or integrating automation workflows for AI systems (e.g., background jobs, task orchestration, event-driven workflows, or tools like Temporal, Airflow, n8n, Zapier).
• Knowledge of Kubernetes, serverless platforms, or Supabase.
• Understanding of AI safety, cost optimization, and observability.
• Familiarity with AI-assisted development tools or platforms.

Hiring Process

We ensure a fair and transparent process for every applicant:

Apply → Take a Compulsory 30-minute Assessment → 30-minute Onboarding Interview → Final interview & selection

Note

• The assessment is mandatory. Please apply only if you’re willing to take it.
• Having a deployed AI-powered backend project (personal or professional) is a must.