Additional Significant Note for Applicants
Currently, only immediate joiners (who have already completed their notice period) or candidates serving a notice period of up to 30 days will be considered for this chance.
Candidates with longer notice periods may not be considered at this stage due to urgent project requirements.

Significant Note for Applicants

Kindly read the job description carefully before applying. Please apply only if your experience, technical skills, and notice period align with the mandatory requirements mentioned above. Profiles that do not meet the core criteria may face rejection during the screening process, which can lead to unnecessary time and effort from both sides. We appreciate your understanding and cooperation.

Job Title: Senior AI Engineer / Player-CoachExperience:

4.5+ Years

Location:

Pune (Viman Nagar)

Shift Timings:

11:00 AM – 8:00 PM

Job Overview

We are looking for an experienced Senior AI Engineer / Player-Coach to lead the development of next-generation Generative AI solutions focused on intelligent search,



content automation, and AI-driven business workflows.

This is a highly hands-on leadership role requiring strong expertise in LLM application development, Retrieval-Augmented Generation (RAG) systems, MLOps, and cloud-native AI infrastructure. The ideal candidate should be capable of architecting scalable AI systems while mentoring a small engineering team and collaborating closely with product and business stakeholders.

Key Responsibilities
Design, develop, and deploy advanced Retrieval-Augmented Generation (RAG) systems for intelligent search and discovery platforms
Build and optimize generative AI solutions for content creation, summarization, metadata enrichment, and workflow automation
Evaluate, implement, and manage Gen AI infrastructure using managed LLM services or self-hosted GPU-based environments
Define and implement best practices for:
Repository structure
CI/CD pipelines
Prompt man

📌 Ai Engineer Pune
🏢 Umanist Staffing
📍 Pune