Note: The job is a remote job and is open to candidates in USA. BrothersTech is hiring an AI Agent Engineer to design, build, and deploy AI agents and multi-agent systems for business process automation. The role involves integrating agents with APIs and enterprise systems, developing RAG pipelines, and evaluating, securing, and monitoring production agent applications.
Responsibilities
- Design and develop AI agents using LLMs and agentic AI frameworks
- Build autonomous and semi-autonomous agents for business process automation
- Implement tool calling, function calling, reasoning, planning, and task execution workflows
- Develop multi-agent systems that coordinate tasks across specialized AI agents
- Integrate AI agents with REST APIs, enterprise applications, databases, and external tools
- Build RAG pipelines using embeddings, vector databases, and enterprise knowledge sources
- Develop prompt templates, structured outputs, memory management, and context-handling strategies
- Implement human-in-the-loop approval workflows for sensitive or high-impact actions
- Evaluate agent accuracy, reliability, latency, and cost using appropriate testing frameworks
- Implement safeguards against prompt injection, unauthorized tool use, and unsafe outputs
- Deploy AI agent applications using Docker, cloud platforms, and production APIs
- Monitor agent execution, troubleshoot failures, and optimize performance
- Collaborate with software engineers, product managers, data scientists, and AI researchers
Skills
- Strong programming experience in Python
- Hands-on experience with LLMs and generative AI applications
- Experience with agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen
- Knowledge of prompt engineering, tool calling, and structured output generation
- Experience integrating REST APIs, databases, and third-party services
- Understanding of RAG, embeddings, semantic search, and vector databases
- Familiarity with OpenAI API, Anthropic API, or open-source language models
- Experience with FastAPI, Flask, or similar backend frameworks
- Knowledge of Git, testing, debugging, and software engineering best practices
- Understanding of authentication, API security, and responsible AI development
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- Equivalent practical experience may be considered
- Experience building multi-agent orchestration systems
- Familiarity with vector databases such as Pinecone, Weaviate, Milvus, or FAISS
- Experience with model evaluation and observability tools such as LangSmith or Arize Phoenix
- Knowledge of AWS, Azure, or Google Cloud Platform
- Experience with Docker, Kubernetes, and CI/CD pipelines
- Familiarity with MCP (Model Context Protocol) and agent-to-tool integrations
- Experience with workflow automation platforms and event-driven architectures
- Knowledge of LLM fine-tuning, model serving, and inference optimization
- Experience implementing agent memory, state persistence, retries, and failure recovery
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