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HYrEzy Tech Solutions · Bengaluru, Karnataka, India

AI Engineer / Generative AI Engineer - Bangalore (work from Office)

Hybridseniorfull timePosted 15 days ago
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llmragagentic-aiopenaianthropicgeminilangchainllamaindexpythonfastapipineconeqdrantweaviateawsgcpdockergenerative-aivector-databasesdata-structuresfine-tuning

Job Title: AI / Generative AI Engineer

Location: Bangalore (On-site / Hybrid)

Experience: 1 Year

Compensation: ₹15,00,000 – ₹20,00,000 LPA

Employment Type: Full-Time

About the Role: We are a cutting-edge technology startup building next-generation AI products. We are looking for a highly exceptional, early-career Generative AI Engineer to join our core AI team. In this high-impact role, you will move beyond basic API wrappers to design, build, and optimize custom LLM workflows, RAG pipelines, and intelligent AI agents.

Key Responsibilities

- Design and implement complex Retrieval-Augmented Generation (RAG) pipelines for enterprise data.

- Integrate and evaluate foundational models (OpenAI, Anthropic, Gemini) and open-source LLMs (Llama 3, Mistral) for specific product use cases.

- Build and orchestrate AI agents using frameworks like LangChain, LlamaIndex, or AutoGen.

- Develop robust backend Python APIs (FastAPI) to serve AI models to frontend applications.

- Set up and query Vector Databases (Pinecone, Qdrant, Chroma, or Weaviate) for semantic search.

- Optimize system latency, prompt architectures, and token economics for production workflows.

Must-Have Qualifications

- Minimum 1 year of hands-on, professional software engineering experience (or highly exceptional academic/internship experience in GenAI).

- Expert-level proficiency in Python.

- Demonstrable production or deep open-source project experience with LLMs, RAG, and Vector Databases.

- Experience with LangChain, LlamaIndex, or similar orchestration frameworks.

- Strong understanding of data structures, algorithms, and software engineering best practices.

Good-to-Have Skills

- Degree from a Tier-1 engineering institution (IIT, NIT, IIIT, BITS) is highly preferred.

- Experience fine-tuning open-weight models (LoRA, QLoRA).

- Familiarity with AWS/GCP and Docker deployments.

Skills: chroma,llm,rag,databases,gemini,fastapi,autogen,agents,pinecode,models,weaviate,ai,lllmaindex,agentic ai,langchain,python,vector,anthropic,openai,artificial intelligence,pipelines,qdrant,generative ai

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