AI Engineer

Location: Pune, Maharashtra

Work Mode: Hybrid

Experience: 4–8 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

• Design, develop, and deploy end-to-end AI and GenAI applications.
• Build and integrate LLM-powered applications, RAG pipelines, AI agents, and automation workflows.
• Develop scalable APIs and microservices for AI solutions.
• Design and implement robust data pipelines and retrieval systems.
• Work on prompt engineering, model evaluation, and performance optimization.
• Build reliable and scalable AI services suitable for production environments.
• Implement observability, monitoring, and reliability practices for AI applications.
• Work with distributed systems and cloud-based architectures.
• Collaborate with technical and business stakeholders to develop AI-driven solutions.
• Contribute to system design, engineering best practices, and technical documentation.
• Mentor junior engineers and support knowledge-sharing initiatives.

• 4–8 years of experience in software engineering and/or AI roles.
• Strong hands-on programming experience in Python or TypeScript.
• Practical experience working with Large Language Models (LLMs).
• Hands-on experience building RAG pipelines.
• Experience with AI/ML frameworks and libraries.
• Strong understanding of Artificial Intelligence and Machine Learning concepts.
• Experience building and integrating APIs and microservices.
• Experience working with distributed systems.
• Familiarity with Kubernetes and Docker.
• Experience with CI/CD pipelines and DevOps practices.
• Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.
• Excellent verbal and written communication skills.
• Strong problem-solving and collaboration skills.

Nice-to-Have Skills

• Experience with agentic AI and agent frameworks such as:
• LangGraph
• Semantic Kernel
• Knowledge of vector databases.
• Understanding of hybrid search and advanced retrieval techniques.
• Strong knowledge of system design, scalability, and performance tuning.
• Experience with enterprise system integrations, such as:
• CRM
• ERP
• ITSM
• Experience designing production-grade AI platforms and services.
• Knowledge of AI application observability, evaluation, and monitoring.

Candidate Requirements

• Candidates should have minimum 2 years of stability in an organization.
• Immediate to 45 days notice period preferred.
• Local Pune candidates are preferred
• Temporary accommodation may be provided for a couple of weeks.
• 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

Skills: advanced retrieval techniques,kubernetes,ai/ml frameworks,vector databases,hybrid search,apis,distributed systems,ai roles,azure,typescript,rag pipelines,aws,artificial intelligence strategy,software engineering,python,microservices,llms,ci/cd pipelines,agentic ai,docker,devops