Generative AI Engineer

Evnek Technologies Pvt Ltd; Bengaluru; Presencial; INR 500.000 - 900.000; Jornada completa

Descripción de la vacante

Evnek Technologies Pvt Ltd in Bengaluru is seeking a Junior Generative AI Engineer with 0–1 year of experience to join our AI team. You will work on Python-based AI applications leveraging LLMs, RAG, and state-of-the-art GenAI technologies.

Fresh graduates with hands-on AI projects or internships are encouraged to apply, and you will collaborate with senior engineers to deploy scalable AI solutions.

Formación

• 0–1 year experience including internships or project work.
• Strong foundation in Python, LLMs, RAG, and Generative AI.
• Fresh graduates with hands-on GenAI projects or relevant internship experience are encouraged to apply.

Responsabilidades

• 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.

Conocimientos

Python

LLMs

RAG

Generative AI

Prompt engineering

Communication

Problem solving

Educación

CS/AI/DS degree

Herramientas

LangChain

LlamaIndex

Hugging Face

FAISS

ChromaDB

Pinecone

REST APIs

Git

Descripción del empleo

Job Opening: Junior Generative AI Engineer

Experience: 0–1 Year

Notice Period: Immediate Joiner

About the Role

We are looking for a passionate and enthusiastic AIEngineer with 0–1 year of experience to join our growing AI team. The idealcandidate 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 relevantinternship experience are encouraged to apply.

Key Responsibilities

• Developand implement AI-powered applications using LLMs and Generative AI.
• Buildand optimize RAG pipelines for intelligent document retrieval andquestion-answering systems.
• Workwith LLM frameworks such as LangChain, LlamaIndex, and Hugging Face.
• IntegrateLLM APIs such as OpenAI, Azure OpenAI, or open-source models.
• Implementembeddings, semantic search, and vector databases.
• DevelopPython-based APIs and backend services using FastAPI or Flask.
• Performprompt engineering, LLM response evaluation, and model optimization.
• Collaboratewith senior engineers to develop and deploy scalable AI solutions.

Good to Have

• Exposureto AI agents, tool calling, and agentic AI workflows.
• Knowledgeof fine-tuning techniques such as LoRA and PEFT.
• Familiaritywith AWS, Azure, or GCP.
• Basicunderstanding of Docker and AI application deployment.
• Experiencewith academic or personal projects involving LLMs, RAG, or chatbots.

Qualifications

• B.E./B.Tech/M.Tech/MCAin Computer Science, AI/ML, Data Science, or a related field.
• 0–1year of relevant experience, including internships or project work.
• Strongproblem-solving and analytical skills.
• Goodcommunication skills and willingness to learn emerging AI technologies.

Requirements

Required Technical Skills

• Programming: Strong knowledge of Python.
• GenerativeAI: Basic understanding of LLMs, prompt engineering, and transformers.
• RAG: Understanding of document chunking, embeddings, retrieval, and vectorsearch.
• Frameworks: LangChain, LlamaIndex, or Hugging Face.
• VectorDatabases: FAISS, ChromaDB, Pinecone, or similar.
• APIIntegration: REST APIs and LLM API integration.
• Databases: Basic SQL and database concepts.
• DevelopmentTools: Git, Jupyter Notebook, and VS Code.