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

• Build AI-powered applications using RAG, vector databases, APIs, MCP, tool calling, and function calling.
• 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

• Build and maintain automation workflows using platforms such as n8n, Make.com, and Zapier.
• 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 professional experience in AI Engineering, Machine Learning, LLM Development, or related software engineering roles.
• Proven experience building and deploying AI agents, multi-agent systems, or autonomous AI workflows in production.
• Strong proficiency in Python and modern AI development practices.
• Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Pydantic AI, LangChain, or similar technologies.
• Deep understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Function Calling, and AI orchestration patterns.
• Experience working with OpenAI, Anthropic, Gemini, DeepSeek, Llama, and other foundation model APIs.
• Experience with vector databases including Pinecone, Weaviate, Qdrant, or Chroma.
• Knowledge of PostgreSQL, REST APIs, cloud platforms (AWS, GCP, or Azure), and production deployment workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently in a fast-paced startup environment.

Preferred

• Experience building AI SaaS products from concept to production.
• Experience with AI-powered business automation, sales automation, or operational workflows.
• Knowledge of multimodal AI systems involving voice, video, and conversational interfaces.
• Experience with workflow automation tools such as n8n, Make.com, and Zapier.
• Familiarity with AI observability, evaluation frameworks, and monitoring systems.
• Open-source contributions and startup experience.

Benefits

• Competitive salary and performance-based bonuses.
• Professional development and continuous learning opportunities.
• Flexible work hours and fully remote work environment.
• Opportunity to work on cutting-edge AI products and technologies.
• Friendly, collaborative, and innovation-driven culture.
• Access to the latest AI, design, and development tools and resources.
• High ownership and direct collaboration with company leadership.
• Opportunity to shape the future of AI initiatives at S9 Studio.

Pay: From ₹1,100,000.00 per year

Benefits:

• Internet reimbursement
• Paid sick time
• Paid time off
• Work from home

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Satara District)