Job Opening: Junior Generative AI Engineer
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.
Skills Required
- B.E., B.Tech, M.Tech, MCA, or equivalent degree in Computer Science, AI/ML, Data Science, or a related field
- 0-1 year of relevant experience, including internships or project work
- Strong knowledge of Python
- Basic understanding of LLMs, prompt engineering, and transformers
- Understanding of document chunking, embeddings, retrieval, and vector search
- Experience with LangChain, LlamaIndex, or Hugging Face
- Experience with FAISS, ChromaDB, Pinecone, or similar vector databases
- Knowledge of REST APIs and LLM API integration
- Basic SQL and database concepts
- Experience with Git, Jupyter Notebook, and VS Code
- Strong problem-solving and analytical skills
- Good communication skills and willingness to learn emerging AI technologies
- Immediate availability to join
What We Do
Evnek Technologies is a Bengaluru-based technology and IT consulting company that helps organizations modernize through agentic and generative AI, machine learning, cloud solutions, data engineering, DevOps, and software/API development. Its services include AI-driven business transformation, autonomous intelligent agents, cloud migration and management, enterprise data capabilities, and scalable product development, with a mission to improve operational efficiency and create lasting business impact.
