AI Developer - Agentic Workflow Automation

Key Responsibilities

• Design and develop Agentic AI workflows for business process automation.
• Build AI agents capable of planning, reasoning, tool usage, decision-making, and multi-step task execution.
• Convert existing manual business processes into AI-enabled workflows.
• Integrate LLMs such as OpenAI, Claude, Gemini, or other models through APIs.
• Develop applications using Python and Java.
• Build and manage integrations with ERP, databases, APIs, email, documents, and other enterprise applications.
• Develop RAG (Retrieval-Augmented Generation) solutions using organizational data and documents.
• Work with SQL and MongoDB / NoSQL databases.
• Implement agent orchestration, tool calling, workflow routing, memory, and human-in-the-loop approvals.
• Develop APIs and backend services for AI applications.
• Work with automation/orchestration platforms such as n8n, Make, Power Automate, or similar tools where appropriate.
• Perform prompt engineering and optimize prompts for accuracy, reliability, and cost.
• Implement structured outputs, validation, exception handling, retries, logging, and monitoring.
• Test AI workflows for accuracy, hallucination, edge cases, security, and reliability.
• Work closely with business teams to understand requirements and translate them into technical solutions.
• Evaluate new AI models, frameworks, tools, and technologies for potential business applications.
• Document solution architecture, workflows, APIs, and technical specifications.
• Ensure security, access control, data privacy, and responsible use of AI in developed applications.

Required Technical Skills

• Strong programming skills in Python
• Good knowledge of Java or similar backend programming language.
• Strong understanding of Generative AI and Large Language Models (LLMs).
• Experience working with LLM APIs such as OpenAI, Anthropic Claude, Gemini, or equivalent.
• Understanding of Agentic AI architecture and multi-step AI workflows.
• Experience with AI orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or equivalent.
• Strong understanding of API development and REST APIs.
• Good knowledge of SQL.
• Working knowledge of MongoDB / NoSQL databases.
• Understanding of RAG, embeddings, vector databases, and semantic search.
• Experience with prompt engineering and structured LLM outputs.
• Knowledge of Git and version control.
• Understanding of authentication, authorization, API security, and data security.

Good-to-Have Skills

• n8n / Make / Power Automate or similar workflow automation platforms.
• Docker and containerization.
• Cloud platforms such as Azure, AWS, or GCP.
• Vector databases such as Pinecone, Qdrant, Weaviate, Chroma, pgvector, or equivalent.
• Experience integrating AI solutions with ERP, CRM, HRMS, email, document management, or other enterprise systems.
• Front-end development knowledge using React, JavaScript, or similar technologies.
• Knowledge of AI observability, evaluation, and monitoring.
• Familiarity with MCP, tool/function calling, and multi-agent architectures.
• Understanding of OCR, document processing, vision models, and multimodal AI.

Experience deploying production-grade AI applications