Developer

Job Description

Responsibilities

• Study current internal workflows and identify opportunities to automate tasks using AI agents
• Design, build, test, and deploy text-based AI agents for business process automation
• Convert manual workflows, SOPs, decision rules, and internal instructions into structured AI-driven systems
• Build prompt-based workflows that can reason through tasks, retrieve the right context, and generate reliable outputs
• Integrate AI agents with internal tools, APIs, databases, CRMs, spreadsheets, document systems, and other business platforms
• Build retrieval-augmented generation (RAG) pipelines to help agents access the correct internal knowledge and documentation
• Implement memory, tool usage, function calling, and workflow orchestration where needed
• Create evaluation frameworks and test cases to measure accuracy, consistency, task completion, and business usefulness
• Improve performance by refining prompts, instructions, routing logic, validation layers, and fallback handling
• Apply guardrails and verification steps to reduce hallucinations, formatting errors, and unreliable outputs
• Monitor agent performance in real business use and continuously improve reliability, speed, and process fit
• Work closely with operations, product, engineering, and business teams to understand workflow pain points and turn them into practical AI solutions
• Document systems, workflows, logic, and implementation standards for long-term maintainability

Required Skills

• Strong Python programming skills with clean, structured, maintainable code
• Experience building LLM-powered applications using models such as GPT, Claude, Gemini, Mistral, or Llama
• Strong experience in prompt engineering and designing text-based workflows using LLMs
• Experience with agent orchestration, tool calling, function calling, and multi-step task automation
• Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar tools
• Experience building or integrating RAG pipelines using embeddings, vector databases, and internal documents or knowledge sources
• Ability to translate business processes into AI workflows and automation logic
• Experience integrating APIs, databases, third-party tools, and internal systems into AI workflows
• Strong debugging and problem-solving skills, especially around reliability, accuracy, and edge cases
• Ability to build testable systems with validation and error recovery flows
• Clear understanding of task decomposition, workflow design, and agent behavior control

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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