HYrEzy Tech Solutions
AI / Generative AI Engineer – Python | RAG | LLMs | AI Agents | ₹15–20 LPA | Bangalore | HYrEzy Tech Solutions
HYrEzy Tech Solutions is a technology startup building next-generation AI products. The company focuses on AI, Generative AI, LLM workflows, RAG pipelines and intelligent AI agents.
Job Details
- Job Title: AI / Generative AI Engineer
- Company: HYrEzy Tech Solutions
- Location: Bangalore, Karnataka
- Work Mode: On-site / Hybrid
- Experience: 1 Year
- Compensation: ₹15,00,000 – ₹20,00,000 LPA
- Employment Type: Full-Time
Eligibility
- Minimum 1 year of hands-on professional software engineering experience.
- Exceptional academic/internship experience in Generative AI may also be considered.
- Expert-level proficiency in Python.
- Strong understanding of Data Structures, Algorithms and software engineering best practices.
- Production or deep open-source project experience with LLMs, RAG and Vector Databases.
- Experience with LangChain, LlamaIndex or similar AI orchestration frameworks.
- A degree from a Tier-1 engineering institution such as IIT, NIT, IIIT or BITS is highly preferred.
Job Responsibilities
- Design and implement complex RAG pipelines for enterprise data.
- Integrate and evaluate foundational models including OpenAI, Anthropic and Gemini.
- Work with open-source LLMs such as Llama 3 and Mistral.
- Build and orchestrate AI agents using LangChain, LlamaIndex or AutoGen.
- Develop robust Python backend APIs using FastAPI.
- Set up and query Vector Databases such as Pinecone, Qdrant, Chroma and Weaviate.
- Build semantic-search capabilities for AI applications.
- Optimize system latency, prompt architectures and token economics.
- Develop and optimize production-ready GenAI workflows.
Master Python – OOP, data structures, APIs, async programming and clean coding.
Learn LLMs – OpenAI, Anthropic, Gemini, Llama and Mistral.
Build strong RAG pipelines – embeddings, chunking, retrieval, reranking and evaluation.
Practice Vector Databases – Chroma, Pinecone, Qdrant and Weaviate.
Learn LangChain / LlamaIndex / AutoGen for AI-agent orchestration.
Develop FastAPI backend APIs for AI applications.
Understand prompt engineering, latency optimization and token-cost optimization.
Learn AI agents & Agentic AI – tool calling, memory, planning and multi-agent workflows.
Build 2–3 production-style GenAI projects, especially an enterprise RAG + AI Agent application.
Get hands-on with Docker and AWS/GCP deployment.
For an extra advantage, learn LoRA/QLoRA fine-tuning of open-weight models.
Revise DSA, system design and software engineering fundamentals for interviews.
Prepare faster with these courses
Hand-picked by our team to match what this role expects.
AI-Powered Full Stack Developer
Bring frontend, backend, database and AI development together into one production-style application. This 6-week advanced module teaches you Next.js, full-stack application development, authentication, PostgreSQL integration, AI APIs and production deployment. You'll build an AI-powered Job & Interview Assistant that analyses job descriptions, identifies skill gaps, generates interview questions and creates personalized preparation plans. You'll also learn how modern developers use AI for coding, debugging, testing and refactoring—while developing the ability to understand and verify AI-generated code. By the end, you'll have a deployed AI-enabled full-stack project that you can demonstrate and confidently discuss in technical interviews.
21-Days Transformation for GenAI
21-Day Gen-AI Transformation Challenge is a hands-on program designed to take you from AI confusion to shipping a real, working Gen-AI MVP. You’ll learn how large language models actually behave, how to design reliable prompts and workflows, and how to build practical AI applications using APIs—not chat demos. Every day produces a concrete artifact, leading to a deployed AI app, a portfolio-ready project, and the confidence to extend it further. The course emphasizes business utility, cost control, security, and real-world constraints—making it ideal for professionals who want to build with AI, not just talk about it.
Prompt Engineering
Prompt Engineering is the core skill that determines the quality, reliability, and usefulness of generative AI outputs. This module teaches learners how to design structured prompts that enable AI to analyze data, reason through complex tasks, generate consistent content, and operate responsibly in real-world environments. The course goes beyond basic prompting to cover advanced techniques such as prompt chaining, chain-of-thought prompting, AI agents, prompt versioning, and sampling parameter control. Learners also develop a responsible prompting mindset, ensuring data safety, ethical usage, and repeatability across professional workflows. By the end of this module, learners will not only “ask better questions” but will build prompt systems that scale across tasks, tools, and time.
Ready to apply?
AI / Generative AI Engineer – Python | RAG | LLMs | AI Agents | ₹15–20 LPA | Bangalore | HYrEzy Tech Solutions at HYrEzy Tech Solutions
You'll apply directly on the company's website. WiseLearnings is not the employer and isn't involved in hiring decisions.
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