AI Agent Engineer ( internship )

We are looking for an **AI Agent Engineer Inters** who can design, build, and operate intelligent agent systems in production. This role requires strong coding expertise combined with deep practical experience in LLM-based systems, orchestration frameworks, and real-world deployment challenges. You will work at the intersection of **AI, backend systems, and product development**, owning end-to-end agent workflows that deliver measurable business value. **Key Responsibilities** * Design, build, and maintain **AI agents in production environments** * Own **end-to-end orchestration**, including: * Prompt design and optimization * Tool integrations and agent skills * Workflow design and execution * Memory and context management * Routing across models/providers * Monitoring, logging, and fallback strategies * Develop **robust prompting systems**, including reusable prompt libraries and structured outputs * Build and maintain **evaluation frameworks**: * Define success metrics * Create evaluation datasets * Analyze failures and continuously improve agent quality * Ship **user-facing product features** across backend, frontend, and AI layers * Debug complex issues across: * LLM outputs * Agent workflows * Tool integrations * UI and system bottlenecks * Optimize systems for **latency, cost, reliability, and scalability** * Collaborate with **product, design, and business teams** to deliver impactful AI-driven experiences **Required Qualifications** * **2–5 years of hands-on coding experience** in Python and/or JavaScript/TypeScript * Proven ability to **independently build, debug, and maintain production systems** * Strong experience with: * LLMs and AI agents * Tool usage and integrations * Workflow/orchestration systems * Prompt engineering and pipelines * Deep understanding of **agent reliability concepts**: * Prompt design * Context and memory handling * Structured outputs * Tool calling * Retries and fallbacks * Guardrails and evaluation systems * Experience building or using **agent frameworks/tool abstractions in production** * Strong knowledge of: * Multi-model orchestration * Cost vs latency trade-offs * Failure handling and observability * Demonstrated ability to **ship quickly and iterate based on real usage** * Strong **product mindset** with focus on delivering user value * Proven track record of **measurable impact**, such as: * Improved reliability * Reduced latency/cost * Increased user engagement or retention Job Types: Full-time, Permanent Pay: From ₹20,000\.00 per month Benefits: * Health insurance * Provident Fund Experience: * Python and or/ JavaScript/typescript: 2 years (Required) Work Location: In person