Generative AI Engineer

Responsibilities

Develop and implement AI-powered applications using LLMs and Generative AI technologies. Build and optimize RAG pipelines for intelligent document retrieval and question-answering systems.

Requirements

Requires a degree in Computer Science, AI/ML, or a related field with 0-1 year of experience. Candidates must have strong Python skills and familiarity with LLM frameworks and vector databases.

Skills

• Python
• Large Language Models
• Retrieval-Augmented Generation
• LangChain
• LlamaIndex
• Hugging Face
• FastAPI
• Flask
• Prompt Engineering
• Vector Databases
• Semantic Search
• Git
• Jupyter Notebook
• SQL
• REST APIs

About this role

Job Opening: Junior Generative AI Engineer
Job Location: Bengaluru
Experience: 0–1 Year
Notice Period: Immediate Joiner
About the Role
We are looking for a passionate and enthusiastic AI Engineer with 0–1 year of experience to join our growing AI team. The ideal candidate should have a strong foundation in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI technologies.
Fresh graduates with hands-on AI/GenAI projects or relevant internship experience are encouraged to apply.
Key Responsibilities
Develop and implement AI-powered applications using LLMs and Generative AI.
Build and optimize RAG pipelines for intelligent document retrieval and question-answering systems.
Work with LLM frameworks such as LangChain, LlamaIndex, and Hugging Face.
Integrate LLM APIs such as OpenAI, Azure OpenAI, or open-source models.
Implement embeddings, semantic search, and vector databases.
Develop Python-based APIs and backend services using FastAPI or Flask.
Perform prompt engineering, LLM response evaluation, and model optimization.
Collaborate with senior engineers to develop and deploy scalable AI solutions.
Good to Have
Exposure to AI agents, tool calling, and agentic AI workflows.
Knowledge of fine-tuning techniques such as LoRA and PEFT.
Familiarity with AWS, Azure, or GCP.
Basic understanding of Docker and AI application deployment.
Experience with academic or personal projects involving LLMs, RAG, or chatbots.
Qualifications
B.E./B.Tech/M.Tech/MCA in Computer Science, AI/ML, Data Science, or a related field.
0–1 year of relevant experience, including internships or project work.
Strong problem-solving and analytical skills.
Good communication skills and willingness to learn emerging AI technologies.

Requirements

Required Technical Skills
Programming: Strong knowledge of Python.
Generative AI: Basic understanding of LLMs, prompt engineering, and transformers.
RAG: Understanding of document chunking, embeddings, retrieval, and vector search.
Frameworks: LangChain, LlamaIndex, or Hugging Face.
Vector Databases: FAISS, ChromaDB, Pinecone, or similar.
API Integration: REST APIs and LLM API integration.
Databases: Basic SQL and database concepts.
Development Tools: Git, Jupyter Notebook, and VS Code.

About Evnek Technologies Pvt Ltd

Technology, Information and Internet · 51-200 employees · headquartered in Bengaluru, Karnataka · founded 2021