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 recent 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

📌 AI Developer - Agentic Workflow Automation (Mumbai)
🏢 Jewelex India
📍 Mumbai