AI Engineer - AI Agent Development Brocode Solutions

Posted 30+ days ago

Experience

4 - 6 Years

Education

Bachelors in Computer Application, Bachelor of Technology/Engineering

Nationality

Any Nationality

Gender

Any

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

We are looking for a highly skilled AI Engineer whose primary responsibility will be to design, build, deploy, and maintain AI agents that automate business workflows, decision-making, and document/data processing tasks.

The role is focused on AI system engineering and agent orchestration, not frontend application development.

The candidate will build scalable AI-driven systems that integrate with enterprise platforms, workflow engines, storage systems, and internal APIs.

Primary Role Objective Design and implement production-grade AI Agents that can: • Execute multi-step reasoning workflows • Use tools (APIs, databases, storage, workflow engines) • Process documents and structured data • Automate business decisions • Operate reliably in enterprise environments Key Responsibilities AI Agent Architecture & Development • Design and build AI agents for workflow automation • Implement multi-step reasoning using LLM orchestration frameworks • Build tool-using agents (API calls, database queries, storage interaction) • Implement agent memory (short-term and long-term context handling) • Design agent safety, guardrails, and fallback logic • Build reusable agent templates and orchestration pipelines AI Agent Lifecycle Management • Agent deployment and version control • Performance monitoring and cost tracking • Logging, telemetry, and audit trail implementation • Continuous improvement and optimization Enterprise Integration Integrate AI agents with: • Backend APIs (Django / FastAPI / Node services) • Workflow engines (n8n / Temporal / Airflow) • Storage systems (MinIO / S3 / Azure Blob) • Databases (Postgres / MongoDB / Redis) Enterprise AI Use Cases • Document automation (PDF, Excel, report generation) • Workflow automation (approvals, validations, notifications) • Knowledge assistants • Data extraction and classification • Predictive automation AI Agent Frameworks Experience with one or more: • LangChain / LangGraph • CrewAI • AutoGen • OpenAI Assistants API • Custom agent orchestration systems Programming • Python — Mandatory • Strong API design experience Data & Infrastructure • Docker and containerized deployments • Redis (state / caching / queueing) • Object storage integration (MinIO / S3) • SQL database experience (Postgres preferred)

Desired Candidate Profile


Good to Have (Not Mandatory) • Vector databases (Qdrant / Weaviate / Pinecone / Chroma) • Message queues (RabbitMQ / Kafka) • Local LLM deployment experience • AI evaluation frameworks • Fine-tuning basics What This Role Does NOT Require • Frontend development (React / Angular / UI frameworks) • UI design experience • Mobile development Soft Skills • Strong system architecture thinking • Problem-solving mindset • Ability to work on experimental + production systems • Good documentation habits Success Criteria Success in this role will be measured by: • Reliable production AI agents • Scalable automation systems • Optimized AI cost vs performance • Stable enterprise integrations Example Projects • Enterprise workflow AI automation agents • Document processing AI pipelines • Multi-agent decision systems • AI-based enterprise copilots • Automated data processing pipelines

Employment Type

    Full Time

Company Industry

Department / Functional Area

Keywords

  • Core AI / LLM Engineering
  • LLM Integration
  • RAG Architecture Design And Implementation
  • Embeddings And Semantic Search
  • Prompt Engineering For Production Systems

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Brocode Solutions

Brocode Solutions FZ LLC is a UAE-based technology solutions company specializing in custom web and mobile applications, ERP implementations, and enterprise digital transformation services. Founded with a vision to empower businesses through innovative software solutions, Brocode combines deep technical expertise with a customer-centric approach to deliver meaningful impact.

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