Software Engineer 2, Applied AI

Job not on LinkedIn

🔥 43 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Interview Kickstart

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📚 Education

Education

Interview Kickstart is a professional training and coaching company that focuses on helping software engineers, product managers, data scientists, and tech leaders enhance their careers. With a team of over 700 FAANG instructors, the company offers comprehensive support in upskilling, interview preparation, and career development, leveraging AI technologies to optimize resumes and provide tailored job referrals. Recognized by TIME x Statista and GSV 150, Interview Kickstart emphasizes the importance of AI skills for job readiness in today's market, particularly for high-demand positions at leading technology companies.

📋 Description

• Work closely with BU heads to design and build AI-native systems powered by LLMs, AI agents, and intelligent workflows • Rapidly prototype and deploy AI tools and products that automate workflows, enhance internal systems, and unlock AI-driven capabilities • Build AI agents and autonomous workflows powered by large language models • Develop systems combining LLMs, APIs, and external tools to automate complex workflows • Build Retrieval Augmented Generation (RAG) pipelines and knowledge retrieval systems • Experiment with modern AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar tools • Build AI-powered tools improving learning workflows, content generation, and internal productivity • Prototype and launch AI-first product ideas in collaboration with the founders • Evaluate and improve AI systems for reliability, response quality, and performance • Optimize AI workflows for latency, cost efficiency, and scalability • Stay current with the evolving ecosystem of LLMs, AI agents, and applied AI tooling

🎯 Requirements

• At least 2 - 4 years of experience software development experience/CS degree building production-grade software systems • Working on building Agentic AI projects or building them recently • Strong programming experience in Python • Hands-on experience building LLM-powered applications, AI assistants, or agent-based systems • Experience with LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar tools • Familiarity with vector databases, embeddings, and Retrieval Augmented Generation (RAG) architectures • Experience integrating LLMs with external tools, APIs, and structured data sources • Understanding of prompt engineering, tool calling, and agent orchestration • Experience building and deploying AI systems from prototype to production, including considerations for reliability, latency, and cost • Strong understanding of backend systems, APIs, and scalable system design • Strong builder mindset with the ability to rapidly prototype and iterate on AI-driven systems • Interest in applying AI to learning systems, knowledge discovery, and productivity tools

🏖️ Benefits

• Permanent remote / work-from-home culture • Opportunity to work on a cutting-edge AI technology stack • An AI-first approach to solving real-world problems • Complete ownership and trust from leadership • Your ideas and concerns are actively heard by the leadership team • Freedom to experiment, fail, and learn • Rapid career progression for high performers • Work with a high-caliber team of engineers and industry experts • Learn how a fast-growing startup builds and scales.

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