Senior AI Engineer

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Experience: 10+ Years (3–4 years in AI/LLMs)

Location: [Location]

Employment Type: Full-Time

We are seeking an experienced Principal AI Engineer to lead the design and development of enterprise-grade Agentic AI and LLM-powered applications. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, conversational AI, and workflow orchestration. You will architect scalable AI solutions, mentor engineering teams, and drive innovation across AI initiatives.

• Design and build scalable Agentic AI and LLM-based enterprise applications.
• Develop intelligent AI agents with reasoning, tool/function calling, and workflow automation.
• Build and optimize RAG pipelines using vector databases and embeddings.
• Design conversational AI solutions for chat and voice applications.
• Integrate AI systems with REST APIs, databases, CRMs, and enterprise platforms.
• Lead solution architecture, development, deployment, and production monitoring.
• Improve AI response quality, latency, security, and reliability.
• Mentor engineering teams and collaborate with cross-functional stakeholders.

• 10+ years in Software Engineering with 3–4 years in Agentic AI, LLMs, and RAG.
• Strong Python and backend development experience.
• Expertise with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks.
• Hands-on experience in Prompt Engineering, Vector Databases, AI Workflow Orchestration, and API integrations.
• Strong knowledge of PostgreSQL/MySQL/MongoDB/Elasticsearch.
• Experience with cloud deployment, scalable architectures, and distributed systems.

• Experience building Voice AI, AI Calling Agents, or Conversational AI platforms.
• Knowledge of STT/TTS, WebSockets, real-time AI streaming.
• Exposure to BFSI, Healthcare, Customer Support, or Enterprise Automation domains.
• Experience with multi-agent systems, AI observability, guardrails, and hallucination control.

• Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.

• Build cutting-edge Agentic AI and Generative AI solutions.
• Work with modern AI frameworks and enterprise-scale architectures.
• Lead high-impact AI initiatives while mentoring a talented engineering team.
• Collaborate on innovative products that solve real-world business challenges.