Gen AI Engineer

Job Description

General AI Engineer – Nallas
Job Title

General AI Engineer

Company

Nallas (Software Services & Product Company)

Job Summary

Nallas is seeking a General AI Engineer to design, develop, implement, and maintain advanced Artificial Intelligence and Generative AI solutions. The role involves building production-ready AI applications, developing Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs), and collaborating with cross-functional teams to deliver innovative AI-powered products.

Key Responsibilities
AI Solution Development
Design, develop, and deploy advanced AI systems.
Build scalable Generative AI applications.
Research and implement cutting-edge AI technologies.
Large Language Models (LLMs)
Develop applications using modern LLMs.
Fine-tune foundation models for domain-specific tasks.
Implement Hugging Face models and transformers.
Retrieval-Augmented Generation (RAG)
Design and build RAG pipelines.
Integrate vector databases for semantic search.
Develop efficient document retrieval systems.
Machine Learning & NLP
Develop ML and NLP models.
Work with Transformers, BERT variants, and GANs.
Process and analyze structured and unstructured text data.
Data Processing
Perform data mining and text preprocessing.
Prepare datasets for AI model training.
Improve data quality for model performance.
API & Backend Development
Develop API integrations.
Build AI-powered backend services.
Integrate AI models into enterprise applications.
Cloud Deployment
Deploy AI applications on cloud platforms.
Work with AWS Bedrock and related AWS services.
Manage scalable AI infrastructure.
Collaboration
Work with:
Business Analysts
Development Teams
DevOps Engineers
Participate in technical discussions and documentation.
Prototyping
Develop Proof of Concepts (POCs).
Build AI demos using Streamlit and Gradio.
Required Technical Skills
Programming
Python
Data Structures
API Development
Machine Learning
Machine Learning
Deep Learning
NLP
GANs
Transformers
BERT Models
Generative AI
Prompt Engineering
LLM Integration
Fine-Tuning
Hugging Face
Retrieval-Augmented Generation (RAG)
Vector Databases
ChromaDB
Pinecone
Milvus
FAISS
ArangoDB
Large Language Models

Experience with one or more of:

OpenAI
Jurassic-1 Jumbo
LLaMA
Mistral
Mixtral
Gemma
Gemini Pro
Cloud Platforms
AWS Bedrock
Amazon EC2
ECS
ECR
Amazon S3
Amazon SageMaker
Prototyping Tools
Streamlit
Gradio
Preferred Skills
Strong communication and presentation skills.
Technical documentation experience.
Independent research capability.
Team collaboration skills.
Problem-solving mindset.
Ability to work in fast-paced environments.
Preferred Knowledge
Resource-constrained AI deployment.
Embedding models (e.g., OpenAI Ada Embedding 002).
AI application architecture.
Enterprise AI solution development.
Ideal Candidate Profile

The ideal candidate should have experience in:

Generative AI
Large Language Models (LLMs)
RAG Pipelines
Machine Learning
NLP
Vector Databases
AWS Cloud
API Development
Production AI deployment
Application Details

Send your resume to:
karthicc@nallas.com