AI Engineer

We are looking for an experienced Agentic AI Engineer to architect, build, and deploy production\-grade AI agents, multi\-agent systems, autonomous workflows, and AI\-powered applications.

Agentic AI Engineer (LLMs, AI Agents \& Automation)

• *Location:** Remote

• *About Us:**

S9 Studio is a design\-led innovation company building next\-generation AI products, intelligent workflows, and digital experiences. We are looking for an experienced Agentic AI Engineer to architect, build, and deploy production\-grade AI agents, multi\-agent systems, autonomous workflows, and AI\-powered applications.

• *Job Description:**

• *Position Overview:**

This role is ideal for someone who is passionate about transforming cutting\-edge AI technologies into scalable products and business solutions. You will work closely with our leadership, product, design, and engineering teams to develop AI systems that automate complex processes, enhance decision\-making, and create exceptional user experiences.

• *Key Responsibilities:**

Agentic 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.

Design and maintain production\-ready AI architectures and deployment pipelines.

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.

• *Qualifications:**

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.

• *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.

• *How to Apply:**

• *Please submit:**

Resume/CV

GitHub Profile

LinkedIn Profile

Portfolio or case studies of AI products, agents, automations, or workflows you have built

We value demonstrated experience, technical excellence, and a builder mindset more than certifications or formal credentials.

Please submit your resume, portfolio, and a cover letter explaining why you’d be a great fit for S9 Studio to career@s9studio.in.