AI Engineer
Shuru Tech · shurutech.com
GurugramSenior5+ yrs
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The job in short
AI engineering.
PythonMongoDBKafkaAWSKubernetesDockerMicroservicesLLMLangChainAgentic
Details
- Found
- 25 d ago · posted 2026-10-11
- Location
- Gurgaon
Full description
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
• Develop memory, context, state management, and retrieval layers.
• Build frameworks for prompts, tools, guardrails, retries, and workflow testing.
• Create agent evaluation and regression testing frameworks.
• Implement observability for traces, latency, errors, token usage, and quality.
• Build secure APIs using Python and FastAPI.
• Integrate agents with APIs, event streams, vector databases, and enterprise systems.
Requirements
• The ideal candidate should have 5+ years of experience in Python and backend development, with strong hands-on experience in FastAPI, REST APIs, and microservices.
• They should have at least 2+ years of experience building agentic or LLM applications using LangGraph, LangChain, or similar frameworks.
• Strong experience in memory and context engineering, agent evaluation, workflow testing, and AI observability is required.
• The candidate should also have experience working with MongoDB or other document databases, along with AWS or other cloud-native environments.
• Experience with Docker, Kubernetes, Kafka, AWS Bedrock, vector databases, MCP, knowledge graphs, and human-in-the-loop workflows will be preferred.
• Experience building AI applications in healthcare or another regulated domain.
Benefits
• 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.
• Competitive Salary and Benefits
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