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Kainskep Solutions
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Jaipur · Remote · 5-8 Yrs · Aug 20
1 to 50 Employees · Jaipur, India
1 open role0 posted in 7d1 in 30d
Work-life balance 4.5Compensation & benefits 3.8Culture & values 4.3
Hiring: Engineering
What employees say
+ Good Environment for learning as a fresher
− They won't pay accordingly, want you to work like full time employee but compensate like a trainee. They will make you sign bond for 2 years. Only do internship there, Avoid full t
More reviews on the company profile.
Job description
Remote
Overview
Senior Generative AI Engineer
Responsibilities
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
- Build AI-powered products utilizing RAG pipelines, vector databases, and semantic search.
- Develop AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Integrate OpenAI, Anthropic Claude, Gemini, or other LLM APIs into production applications.
- Design prompt engineering strategies and optimize AI model performance.
- Build scalable backend services using Python and FastAPI (or similar frameworks).
- Develop REST APIs and integrate AI services into web applications.
- Deploy and maintain AI applications on AWS cloud infrastructure.
- Collaborate with product managers, designers, and engineering teams to deliver AI-driven solutions.
- Optimize application performance, scalability, and reliability.
- Participate in code reviews and contribute to architectural decisions.
Qualifications
- Location: Remote (India)
- About the Role
- We are looking for a highly skilled Senior Generative AI Engineer to join our engineering team. The ideal candidate should have strong experience in designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and contemporary cloud technologies.
- The candidate should be passionate about leveraging AI to build scalable, production-grade solutions and be comfortable working in an AI-first development environment.
- 5+ years of software development experience.
- Robust experience with Python.
- Hands-on experience with Large Language Models (LLMs).
- Solid understanding of Retrieval-Augmented Generation (RAG).
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