Key ResponsibilitiesAgentic AI & Multi-Agent Systems
Design, develop, and deploy autonomous AI agents and multi-agent systems.
Build AI copilots, AI employees, and intelligent automation solutions for business operations.
Architect agent orchestration frameworks that can decompose complex tasks and coordinate specialized AI agents.
Develop Quality Assurance and Evaluation Agents to validate outputs against user intent and business requirements.
Continuously optimize agent workflows for accuracy, speed, reliability, and scalability.

Prompt Engineering & LLM Optimization
Design and refine advanced prompts for GPT, Claude, Gemini, DeepSeek, Llama, and other foundation models.
Optimize AI performance for accuracy, reasoning quality, latency, and cost efficiency.
Evaluate and benchmark LLMs based on business use cases, scalability, and output quality.
Implement testing, monitoring, and evaluation frameworks for continuous model improvement.

AI Application Development
Integrate AI systems with internal databases, business platforms, and third-party services.




Develop scalable retrieval systems that improve contextual understanding and response quality.
Design and maintain production-ready AI architectures and deployment pipelines.

Multimodal AI & User Experience
Build multimodal AI experiences that combine text, voice, image, video, and interactive interfaces.
Enable multilingual AI capabilities for global audiences.
Integrate visual AI assistants, digital avatars, and conversational experiences.
Collaborate with product and design teams to create intuitive AI-powered user experiences.

Automation & Integration
Connect AI systems with CRMs, SaaS platforms, enterprise software, and external APIs.
Improve operational efficiency through intelligent workflow automation and AI-driven processes.

QualificationsRequired
3+ years of qualified experience in AI Engineering, Machine Learning, LLM Development, or related software engineering

📌 Agentic Ai Engineer Satara
🏢 S9 Studio
📍 Satara