Agentic AI Engineer

Role Overview:

• Hands-on, customer-facing role building next-generation AI-powered products.
• Work with LLMs, multi-agent workflows, RAG, NLP, and vector databases.
• Architect scalable Generative AI and agentic systems for enterprise problems.

Key Responsibilities:

• Architect and build scalable Generative AI and agentic AI applications from concept to production.
• Design LLM-powered workflows, prompt strategies, and multi-agent architectures.
• Evaluate, customize, fine-tune, and optimize large language models for specific requirements.
• Build APIs, microservices, and integration frameworks embedding AI into enterprise products.

Requirements & Experience:

• 6+ years in traditional ML, including 2+ years in Generative AI.
• Strong Python skills and experience with LangChain, LangGraph, or similar frameworks.
• Hands-on experience with OpenAI, Llama, Azure OpenAI, and open-source LLMs.
• Proficiency with AWS, Azure, or GCP, plus Docker and Kubernetes.
• MLOps/LLMOps experience covering training, deployment, and monitoring.

Compensation & Benefits:

• Compensation: ₹25,00,000–₹45,00,000 per year.
• Remote in India, full-time employment.
• Opportunity to influence AI platform strategy and mentor engineers.
• Exposure to modern cloud-native infrastructure and responsible AI practices.