AI Developer - Agentic Workflow Automation

Jewelex India

Mumbai

On-site

INR 1,800,000 - 3,200,000

Full time

3 days ago
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Job summary

Jewelex India is seeking a seasoned AI workflow engineer to design and implement Agentic AI workflows for enterprise process automation in Mumbai. You will drive end-to-end automation by turning manual processes into AI-enabled workflows and integrating LLMs via APIs from providers like OpenAI, Claude, and Gemini.

Proficiency in Python and Java, strong SQL/NoSQL knowledge, and expertise in AI orchestration frameworks are required.

Qualifications

  • Strong programming and architecture skills for building AI-driven workflows.
  • Experience with Generative AI, LLMs, and API integrations.
  • Proficiency in Python and Java or similar backend languages.
  • Knowledge of AI orchestration frameworks and multi-step AI workflows.
  • Understanding of SQL and NoSQL databases (SQL/ MongoDB).
  • Familiarity with vector DBs, embeddings, and semantic search.
  • Experience with prompt engineering and structured LLM outputs.
  • Experience with API security and data security best practices.

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 via APIs (OpenAI, Claude, Gemini, etc.).
  • Develop applications using Python and Java.
  • Build and manage integrations with ERP, databases, APIs, email, documents, and enterprise apps.
  • Develop RAG 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 like n8n, Make, Power Automate.
  • 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, edge cases, security, and reliability.
  • Collaborate with business teams to translate requirements into technical solutions.
  • Evaluate new AI models, frameworks, tools for business use cases.
  • Document solution architecture, workflows, APIs, and technical specs.
  • Ensure security, access control, data privacy, and responsible AI use.

Skills

Python
Java
Generative AI & LLMs
LLM APIs (OpenAI, Claude, Gemini)
Agentic AI architecture
AI orchestration frameworks (LangGraph
LangChain
CrewAI
AutoGen
API development & REST
SQL
MongoDB / NoSQL
RAG embeddings semantic search
Prompt engineering
Git & version control
API security & data security

Tools

n8n
Make
Power Automate
Docker
Azure
AWS
GCP
Pinecone
Qdrant
Weaviate
Chroma
pgvector

Job description

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

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