? The Text

? Job Title: AI Engineer

? MANDATORY CRITERIA — PLEASE READ BEFORE APPLYING

Due to high application volumes, our system automatically filters candidates based on strict hard requirements. Please do NOT apply unless you meet 100% of the following criteria:

- ? Work Location (STRICT): Must currently reside in Pune, Maharashtra (Hybrid work model). (Candidates outside Pune or requiring relocation will be automatically filtered out).
- ? Overall Experience: 4 to 8 Years in Software Engineering & AI roles. (Profiles with under 4 years will be automatically archived).
- ?️ Career Stability (Mandatory): Minimum 2+ consecutive years of tenure in at least one previous organization. (Profiles showing frequent job-hopping will be rejected).
- ? Core Technical Stack: Direct production experience building LLM applications, RAG pipelines, and Agentic Systems in Python or TypeScript .

? Applications failing to match these exact metrics—including location—will be automatically filtered out during screening. ? Experience Required: 4 to 8 Years

? Annual CTC Budget: Competitive / As Per Market Standards

? Location: Pune, Maharashtra, India (Hybrid)

✅ Experience: 4 to 8 years of dedicated experience in software engineering and AI roles. Minimum 2 years of stability in a single organization is strictly required (no excessive job-hopping).

✅ Education: B.E. / B.Tech / M.E. / M.Tech / MCA in Computer Science or related fields.

✅ Core Skills: Hands-on experience building and deploying end-to-end GenAI systems (RAG pipelines, AI agents, automation workflows)



and optimizing LLM performance.

✅ Software/Tools: Proficiency in Python or TypeScript, Vector Databases, Kubernetes, Docker, CI/CD, and AWS/Azure/GCP.

✅ Communication: Exceptional English skills for mandatory technical coordination syncs and cross-functional collaboration.

✅ Logistics: 100% mandatory Hybrid work model based out of Pune, Maharashtra.

➡️ Position Overview

Design, develop, and scale production-grade AI and GenAI applications including agentic systems, microservices, and enterprise integrations. Drive reliable, observable, and scalable AI infrastructure while mentoring team members.

? Core Responsibilities

✔️ System Development: Build and deploy end-to-end AI/GenAI systems, agentic workflows, and RAG pipelines.

✔️ API & Architecture Design: Design resilient APIs and microservices for scalable AI solution architectures.

✔️ Data & Retrieval Engineering: Implement robust data pipelines, retrieval systems, and vector database search strategies.

✔️ Optimization & Performance: Optimize prompt engineering, model evaluations, observability, and overall latency.

✔️ Deployment & Cloud Infrastructure: Deploy AI services using Kubernetes, Docker, CI/CD pipelines, and cloud platforms.

How to Apply

? If you meet the requirements outlined in the and are interested in this chance, please email your resume to [email protected] , mentioning your Current CTC, Expected CTC, and Notice Period.

#ArtificialIntelligence #MachineLearning #GenerativeAI #AIEngineer #Python #TypeScript #RAG #LLM #PuneJobs

📌 Artificial Engineer & LLM Engineer - Microservices & Cloud (Pune Region)
🏢 Amrapali Solutions
📍 Pune