Artificial Engineer & LLM Engineer - Microservices & Cloud (Pune Region)

📝 The Job Description 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 job description and are interested in this opportunity, please email your resume to sandesh@amrapalisolutions.in, mentioning your Current CTC, Expected CTC, and Notice Period.
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Work arrangement
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