AI Engineer

ShuruTech; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Shuru Technologies Private Limited is seeking a hands-on AI Engineer to turn ambiguous problems into working products. You will build AI agents, AI-powered workflows, and integrations, collaborating with product, engineering, and business teams to ship reliable AI systems into production.

You’ll work across AI, backend, APIs, and real-world business workflows, delivering production-grade AI solutions with strong debugging and iteration capabilities in a fast-moving startup environment.

Qualifications

• Hands-on experience building AI agents, LLM-powered applications, automations, or workflow systems.
• Strong experience with Python, APIs, backend development, and system integrations.
• Experience with LLMs, prompt engineering, tool calling, and memory retrieval.

Responsibilities

• Develop AI agents capable of reasoning and multi-step task execution.
• Build production-grade AI workflows and integrations with databases and third-party platforms.
• Design AI-powered applications that improve business processes and user experiences.
• Ensure reliability with monitoring, observability, and error handling in production.

Job description

Shuru Technologies Private Limited | Full time

Shuru is an AI, Product and Technology Engineering company helping startups and enterprises build, scale and modernise digital products. Our teams work with high ownership, first-principles thinking and an AI-native approach to solve meaningful business problems and ship production-grade technology.

We are looking for a hands-on AI Engineer who enjoys turning ambiguous problems into working products. You will build AI agents, intelligent systems, AI-powered workflows, automations, and integrations, taking ideas from prototype to production. This role is ideal for a strong builder who can work across AI, backend systems, APIs, and real-world business workflows. You will work closely with product, engineering, and business stakeholders to understand problems, experiment with solutions, and ship reliable AI systems into production.

What You’ll Build

• AI agents capable of reasoning, tool usage, knowledge retrieval, and multi-step task execution.
  
• Production-grade AI workflows designed around real business problems rather than isolated demos.
  
• AI-powered applications and automations that improve business processes and user experiences.
  
• Backend services, APIs, and integrations connecting AI systems with databases, business applications, and third-party platforms.
  
• Knowledge-driven and memory-based AI experiences.
  
• Automation solutions across areas such as legal operations and other domain-heavy workflows, depending on client requirements.
  
• Reliable AI systems with evaluation, monitoring, error handling, observability, and continuous improvement.
  

Requirements

• Hands-on experience building AI agents, LLM-powered applications, automations, or workflow systems.
  
• Strong experience with Python, APIs, backend development, and system integrations.
• Experience working with:
  
• LLMs and prompt engineering
  
• Tool/function calling
  
• Structured outputs
  
• RAG and knowledge retrieval
  
• Agentic workflows
  
• Memory and contextual systems
  
• Ability to translate ambiguous business requirements into practical technical solutions.
  
• Strong debugging, experimentation, and problem-solving skills.
  
• A builder mindset -you enjoy shipping, testing, iterating, and improving systems in production.
  
• Comfort working with ownership in a fast-moving startup environment with limited hand-holding.
  
• Strong communication skills and the ability to work with product, engineering, and business teams.
  

Nice to Have

• Experience working in legal tech, fintech, climate tech, or other domain-heavy environments.
  
• Previous experience in an early-stage or high-growth startup.
  
• Exposure to agent frameworks such as LangGraph, LangChain, CrewAI, or similar tools.
  
• Experience with vector databases, evaluation frameworks, observability, and production AI infrastructure.
  
• Experience designing systems where knowledge, memory, and business context are core to the user experience.
  
• Experience deploying and operating AI applications in production.
  
• Work on international projects: Be part of a global team working with clients from across the world.
  
• Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events.
  
• Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development.