AI ML Engineer

Bounteous; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

Bounteous in Bengaluru, India is seeking an experienced AI Engineer to design and build Agentic AI solutions, leveraging Python, LLMs, and cloud technologies. The role emphasizes multi-agent workflows, RAG architectures, and production-grade AI systems.

Candidates should demonstrate hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and related frameworks, plus prompt engineering and MLOps expertise. Agile collaboration is expected.

Qualifications

• Strong Python development experience.
• Hands-on experience building Agentic AI solutions.
• Experience with LLMs and AWS deployment.
• Familiarity with MLOps and model lifecycle.

Responsibilities

• Design and develop Agentic AI solutions and multi-agent workflows.
• Build intelligent AI applications using LLMs and modern AI frameworks.
• Develop and optimize RAG-based architectures and AI orchestration pipelines.
• Apply prompt engineering, context engineering, harness engineering, and loop engineering techniques.
• Train, fine-tune, deploy, and monitor ML and DL models.
• Build rapid AI prototypes using Streamlit or Gradio.
• Deploy and manage AI workloads on AWS cloud platforms.
• Collaborate with product, engineering, and business teams in Agile environments.
• Implement MLOps practices for model lifecycle management and deployment automation.

Skills

Python development

Agentic AI

LangChain

Prompt engineering

ML/DL concepts

NLP/LLMs

AWS deployment

MLOps

Streamlit/Gradio

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Streamlit

Gradio

Job description

Job Description

We are looking for an experienced AI Engineer with a strong background in Machine Learning and Deep Learning who has successfully transitioned into Generative AI and Agentic AI solution development.

The ideal candidate should have hands-on experience building complex AI applications, autonomous agent workflows, and production-grade AI systems leveraging Python, LLMs, and cloud technologies.

Key Responsibilities

• Design and develop Agentic AI solutions and multi-agent workflows.
• Build intelligent AI applications using LLMs and modern AI frameworks.
• Develop and optimize RAG-based architectures and AI orchestration pipelines.
• Apply prompt engineering, context engineering, harness engineering, and loop engineering techniques.
• Train, fine-tune, deploy, and monitor Machine Learning and Deep Learning models.
• Build rapid AI prototypes using Streamlit or Gradio.
• Deploy and manage AI workloads on AWS cloud platforms.
• Collaborate with product, engineering, and business teams in Agile environments.
• Implement MLOps practices for model lifecycle management and deployment automation.

Mandatory Skills

• Strong Python development experience.
• Hands-on experience building Agentic AI solutions.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Practical experience in Prompt Engineering and AI Workflow Design.
• Strong understanding of Machine Learning and Deep Learning concepts.
• Experience with NLP and LLM-based applications.
• Experience deploying AI solutions on AWS.
• Knowledge of MLOps and model deployment pipelines.
• Experience with Streamlit or Gradio.