Xerago - Lead AI Engineer

Role : AI Lead : OMR Perungudi

We are looking for a Senior AI Product Engineer to join our innovation-driven engineering team. In this role, you will help conceptualize, design, and build AI-powered products that solve real-world business problems. This is not a traditional AI research or modeling role - its a hands-on, product-building position focused on rapid experimentation, fast MVPs, and production-grade delivery.

Youll bring a strong product mindset, deep curiosity, and the ability to move fast with evolving AI technologies. Were seeking individuals who are comfortable navigating ambiguity, translating product ideas into working solutions, and delivering in short iterative cycles.

What You'll Do

• Translate product ideas and technical needs into working POCs, MVPs, and production-ready features.
• Design and implement scalable AI-powered applications using modern toolchains and frameworks.
• Combine different AI services, libraries, and APIs to create new end-user experiences.
• Optimize for speed, functionality, and usability across every product milestone.
• Collaborate cross-functionally with designers, product managers, and other engineers to drive rapid development.
• Ship early and often - with POCs delivered in days, MVPs in a week, and fully production-ready AI-powered products in a matter of weeks.
  
  

What We're Looking For

• 2+ years in AI application development or software engineering.
• Demonstrated ability to deliver real-world AI solutions (POCs to production).
• Experience working with AI frameworks, APIs, or pretrained models.
• Strong grasp of system design, architectural thinking, and practical integration.
• Comfortable working with modern development environments and iterative delivery cycles.
• Ability to compose solutions using available tools, frameworks, and services rather than building from & Ecosystem Familiarity :
  
  

Role

While this role emphasizes product thinking and fast delivery, familiarity with modern AI tools will help you succeed. You should be comfortable working with or exploring tools such as :

• AI Service APIs - OpenAI, Claude, Cohere, Hugging Face, Together.ai.
• Frameworks & Libraries - LangChain, LlamaIndex, Haystack, transformers, chromadb, Faiss.
• Model Hubs & Repositories - Hugging Face Hub, Replicate, Ollama, LM Studio.
• Development Environments - Cursor, GitHub Copilot, Windsurf.
• Orchestration & Integration - REST APIs, prompt pipelines, chaining tools.
  
  

We Value Engineers Who Can Compose Fast, Functional AI Solutions With a Strong Bias Toward Reuse And Integration Over If You Have

• Experience building AI-first products or internal AI-powered tools.
• Exposure to LLMs, RAG pipelines, or vector database-based applications.
• GitHub portfolio or examples of real product builds.
• Experience deploying lightweight AI systems to production This Role Matters :
  
  

The future of AI belongs to builders who move fast, reuse smart, and think in prompts - not boilerplate.

This role places you exactly where the industry is heading - at the intersection of speed, tools, and intelligent composition.

If you're ready to move with that future, were ready for you.

(ref:hirist.tech)