Sr. AI Engineer
Location: Pune, Maharashtra
Experience: 6–8 Years
Notice Period: Immediate to 45 Days(525)

Role Summary

We are looking for an experienced AI Engineer to design, develop, and scale production-grade AI and Generative AI applications.

The role involves building LLM-powered applications, RAG pipelines, agentic systems, automation workflows, APIs, and enterprise integrations. The ideal candidate should have strong software engineering fundamentals, hands-on AI/GenAI experience, and excellent communication skills.

Key Responsibilities

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Design, develop, and deploy end-to-end AI and GenAI applications.

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Build and integrate LLM-powered applications, RAG pipelines, AI agents, and automation workflows.

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Develop scalable APIs and microservices for AI solutions.

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Design and implement robust data pipelines and retrieval systems.

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Work on prompt engineering, model evaluation, and performance optimization.

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Build reliable and scalable AI services suitable for production environments.

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Implement observability, monitoring, and reliability practices for AI applications.

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Work with distributed systems and cloud-based architectures.

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Collaborate with technical and business stakeholders to develop AI-driven solutions.

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Contribute to system design, engineering best practices, and technical documentation.

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Mentor junior engineers and support knowledge-sharing initiatives.

Must-Have Skills

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5–7 years of relevant professional experience in software engineering and/or AI roles.

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Strong hands-on programming experience in Python or JavaScript/TypeScript

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Practical 3.5yrs of work experience working with Large Language Models (LLMs),RAG

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Hands-on experience building RAG pipelines.

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Experience with AI/ML frameworks and libraries.





- Solid and in depth work experience with APIs, microservices, and databases (SQL/NoSQL)

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Strong understanding of Artificial Intelligence and Machine Learning concepts.

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Experience building and integrating APIs and microservices.

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Experience working with distributed systems.

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Familiarity with Kubernetes and Docker.

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Experience with CI/CD pipelines and DevOps practices.

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Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.

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Excellent verbal and written communication skills.

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Strong problem-solving and collaboration skills.

Nice-to-Have Skills

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Experience with agentic AI and agent frameworks such as:

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LangGraph

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Semantic Kernel

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Knowledge of vector databases.

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Understanding of hybrid search and advanced retrieval techniques.

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Strong knowledge of system design, scalability, and performance tuning.

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Experience with enterprise system integrations, such as:

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CRM

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ERP

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ITSM

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Experience designing production-grade AI platforms and services.

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Knowledge of AI application observability, evaluation, and monitoring.

Candidate Requirements

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Candidates should have minimum 2 years of stability in an organization.

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Immediate to 45 days notice period preferred.

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Local Pune candidates are preferred

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Temporary accommodation may be provided for a couple of weeks.

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Excellent communication skills are essential as this is a client-facing role involving regular interaction with stakeholders and teams.

Interview Process

2 Technical Rounds → 1 Client Round → HR Round

Keywords

AI Engineer | Generative AI | GenAI | LLM | Large Language Models | RAG | AI Agents | Python | TypeScript | Machine Learning | APIs | Microservices | Kubernetes | Docker | CI/CD | AWS | Azure | GCP | Vector Database | Hybrid Search

📌 Sr. AI Engineer (India)
🏢 Important Company of the Sector
📍 India