Agentic AI and LLM OPS Engineer

About Idolize

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 Level: 1+ years of 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

• Build a Basic Chatbot: Architect and implement a maintainable chatbot skeleton, routing user inputs through your LLM pipeline.
• Add Tools: Integrate external APIs, databases, and microservices so agents can fetch data and execute actions.
• Add Memory: Design contextmanagement layers that persist and recall past interactions for coherent multiturn dialogues.
• Add Human-in-the-Loop: Embed review checkpointsalerts or UI prompts—allowing 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).
• Keywords which shall be part of your profile and work: ‘Python’, ‘Docker’, ‘Kubernetes’, ‘Terraform’, ‘DVC’, ‘LangChain’, ‘LangGraph’, ‘FAISS/Qdrant’, ‘Prompt Engineering’, ‘CI/CD’, ‘FastAPI’, ‘Cloud (AWS/Azure/GCP)’.

Desired Traits

• Problem Solving: Strong analytical mindset with an ability to decompose complex automation challenges.
• 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 for the role (Candidate with these skills will be preferred)

• Prompt Engineering: Hands-on work crafting, evaluating and refining prompts for diverse LLM tasks.
• 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

• Live Use-Cases from Day 1: Drive production AI and automation projects across Banking, NBFC, Manufacturing and Insurance.
• 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.

Please send your resume to talent@idolizesolutions.com. We would like to schedule your interview at the earliest in person (mandatory).

Office Address:

Idolize Business Solutions

AWFIS Office Space, 2nd Floor, Kalpataru Prime,

Road Number 16, Wagle Industrial Estate, Thane West, 400604.

Website: www.idolizesolutions.com | Email: talent@idolizesolutions.com