Idolize Business Solutions - Agentic AI & LLM Ops Engineer

Idolize is a fast-growing AI tech company at the forefront of HyperAutomation.

For over 6 years, weve helped enterprises transform operations by combining RPA, workflow tools, computer vision, NLP, and GenAI into powerful, scalable automation solutions.

Were now expanding our capabilities through a dedicated Center of Excellence focused on Agentic AI and LLM Opsenabling the next generation of intelligent, autonomous enterprise systems.

If you're passionate about AI, automation, and building whats next, Idolize offers an exciting, innovation-driven environment where your work creates real impact.

Educational Background :

- Degree : B.Tech/B.E. in Computer Science or Information Technology; M.Tech (CS/IT) or MCA.

- Experience Hands-on experience in AI/ML system deployment, LLM integration or software automation.

- Overall experience shall be more than 1 year and less than 5 years out of which 1 year is mandatorily in AI driven development and innovations

Technical Skills :

- Add Tools : Integrate external APIs, databases, and microservices so agents can fetch data and execute actions.

- Add Memory : Design context management layers that persist and recall past interactions for coherent multi?turn dialogues.

- Add Human-in-the-Loop : Embed review checkpointsalerts or UI promptsallowing human operators to supervise and correct outputs.

- Customize State : Maintain a central session state store (TypedDict or custom class) to control parameters, flags, and intermediate results across workflows.

- LLM Integration : Proficiency with OpenAI/Azure OpenAI APIs or Hugging Face; fine-tuning and versioning transformer models.

- Containerization & Orchestration : Docker, Kubernetes

- Vector Search & RAG : Hands-on experience with FAISS, Qdrant or similar for retrieval-augmented generation.

- API Development : Building and securing scalable inference endpoints (FastAPI, AWS Lambda + API Gateway).

Desired Traits :

- Communication : Clear, concise articulation of technical designs and findings to both technical and non-technical stakeholders.

- Learning Attitude : Proactive in researching new GenAI/LLM techniques and integrating them into existing pipelines.

- Team Player : Mentoring junior engineers and fostering a collaborative, solutions-driven environment.

Additional Qualifications :

- RPA & Grid Automation : Experience with Selenium Grid or enterprise RPA platforms (Automation Anywhere, PowerAutomate).

- Cloud Native & Serverless : Deploying GenAI workloads on AWS SageMaker, Azure ML or GCP Vertex AI.

- Open Source Contributions : Public projects or research publications in NLP, LLMs or related tools

What is in it for you :

- High-Performing Culture : Work alongside passionate, subject-matter experts who thrive on innovation and excellence.

- Attractive Rewards : Competitive salary, performance-linked bonuses, and equity grants to recognize your impact.

- Modern, Central Office : AWFIS workspace in Thane Wagle Estate, with all amenities so you can focus on building solutions