Job Description

About Idolize
Idolize is a fast-growing AI tech company at the forefront of HyperAutomation. For over 6 years, we've helped enterprises transform operations by combining RPA, workflow tools, computer vision, NLP, and GenAI into powerful, scalable automation solutions. We're now expanding our capabilities through a dedicated Center of Excellence focused on Agentic AI and LLM Ops--enabling the next generation of intelligent, autonomous enterprise systems. If you're passionate about AI, automation, and building what's next, Idolize offers an exciting, innovation-driven environment where your work creates real impact.

What is expected from you:

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 context?management layers that persist and recall past interactions for coherent multi?turn dialogues. Add Human-in-the-Loop: Embed review checkpoints--alerts or UI prompts--allowing human operators to supervise and correct outputs. o 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 o 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

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).

Job Type: Full-time

Pay: ?350,000.00 - ?850,000.00 per year

Benefits:

Food provided
Ability to commute/relocate:

Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):

Please mention you current CTC, expected CTC & notice period
Experience:

AI ML Development: 1 year (Preferred)
Location:

Mumbai, Maharashtra (Preferred)
Work Location: In person