Agentic AI Engineer

Acme Services Private Limited; Mumbai; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Acme Services Private Limited in Mumbai is seeking a Python and AI specialist to design and develop Agentic AI solutions, build AI agents and multi-agent workflows for task automation and decision-making.

You will develop LLM-powered applications using LangChain or similar frameworks, implement RAG pipelines, prompt engineering, vector databases, and integrate with APIs, tools and enterprise data to productionize scalable AI solutions.

Responsibilities

• Design and develop Agentic AI solutions using Python and LLMs.
• Build AI agents and multi-agent workflows for task automation and decision-making.
• Develop LLM-powered applications using frameworks such as LangChain, LangGraph or similar.
• Implement RAG pipelines, prompt engineering and integration with vector databases.
• Develop and integrate Python APIs and backend services for AI applications.
• Integrate LLMs, external tools, APIs and enterprise data sources into agent workflows.
• Implement agent memory, tool calling, orchestration and context management.
• Evaluate and optimize LLM/agent performance, accuracy and response quality.
• Work with cloud AI services and deployment platforms to productionize AI solutions.
• Collaborate with Data Scientists, AI Engineers and business teams to translate use cases into scalable AI solutions.

Job description

Job Description:

• Design and develop Agentic AI solutions using Python and LLMs.
• Build AI agents and multi-agent workflows for task automation and decision-making.
• Develop LLM-powered applications using frameworks such as LangChain, LangGraph or similar.
• Implement RAG pipelines, prompt engineering and integration with vector databases.
• Develop and integrate Python APIs and backend services for AI applications.
• Integrate LLMs, external tools, APIs and enterprise data sources into agent workflows.
• Implement agent memory, tool calling, orchestration and context management.
• Evaluate and optimize LLM/agent performance, accuracy and response quality.
• Work with cloud AI services and deployment platforms to productionize AI solutions.
• Collaborate with Data Scientists, AI Engineers and business teams to translate use cases into scalable AI solutions.