Senior AI Engineer / Agentic AI Engineer

Bounteous; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Bounteous is seeking an experienced AI Engineer in Bengaluru to design and build Agentic AI solutions, multi-agent workflows, and production-grade AI systems using Python, LLMs, and cloud tech.

You will work on RAG architectures, prompt and loop engineering, model training and monitoring, and rapid prototyping with Streamlit/Gradio, collaboratively in Agile teams and deploying on AWS.

Qualifications

• Hands-on experience building Agentic AI solutions.

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/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

Prompt engineering

NLP & LLMs

Machine Learning

MLOps

Agile collaboration

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Streamlit

Gradio

AWS

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.