Gen AI Engineer
Job Description
Job Description (JD) – General AI Engineer | Nallas
Company
Nallas is a software services and product company focused on developing innovative AI-powered solutions across multiple domains.
Job Title
General AI Engineer
Employment Type
Full-Time (assumed from the posting)
Job Summary
Nallas is seeking a General AI Engineer to design, develop, deploy, and maintain advanced AI and Generative AI solutions. The role involves building Retrieval-Augmented Generation (RAG) systems, implementing Large Language Models (LLMs), developing NLP and machine learning applications, and collaborating with cross-functional teams to deliver production-ready AI products.
The ideal candidate should have strong expertise in Python, Generative AI, Machine Learning, NLP, vector databases, cloud technologies, and modern LLM frameworks.
Key Responsibilities
AI Solution Development
Design and develop AI-powered applications.
Build scalable Generative AI solutions.
Research and implement new AI technologies.
Develop production-ready AI systems.
Generative AI
Build and optimize Large Language Model (LLM) applications.
Implement Retrieval-Augmented Generation (RAG) pipelines.
Fine-tune foundation models.
Develop AI assistants and intelligent automation solutions.
Machine Learning
Develop and deploy ML models.
Build predictive and intelligent systems.
Improve model performance through experimentation.
Apply data-driven optimization techniques.
Natural Language Processing (NLP)
Develop NLP applications.
Implement transformer-based architectures.
Process structured and unstructured text.
Build intelligent conversational systems.
Data Processing
Perform data mining.
Process and clean text datasets.
Prepare training datasets.
Extract insights from multiple data sources.
API Development
Develop API integrations.
Connect AI models with external services.
Build AI-powered backend services.
Collaboration
Work closely with:
Business Analysts
Software Developers
DevOps Engineers
Product Teams
to deliver AI solutions.
Research & Innovation
Explore emerging AI technologies.
Prototype new AI ideas.
Evaluate foundation models.
Recommend suitable AI architectures.
Required Technical Skills
Programming
Python
Computer Science Fundamentals
Data Structures
API Integration
Machine Learning
Machine Learning
Deep Learning
Model Training
Fine-Tuning
Natural Language Processing
NLP
Text Processing
Language Modeling
Generative AI
Strong understanding of:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Transformers
BERT Variants
GANs
Hugging Face Ecosystem
Hugging Face
Experience with:
Model Implementation
Fine-Tuning
Transformers Library
Vector Databases
Hands-on experience with one or more:
ChromaDB
Pinecone
Milvus
FAISS
ArangoDB
Cloud Platforms
Experience with:
AWS Bedrock
Basic knowledge of:
EC2
ECS
ECR
S3
SageMaker
Large Language Models
Experience with one or more:
OpenAI
Jurassic-1 Jumbo
Llama
Mistral
Mixtral
Gemma
Gemini Pro
Rapid Prototyping
Experience using:
Streamlit
Gradio
Deployment
Knowledge of:
AI model deployment
Resource-constrained environments
Edge AI deployment (preferred)
Soft Skills
Excellent communication skills
Technical documentation
Presentation skills
Team collaboration
Independent problem-solving
Research mindset
Analytical thinking
Preferred Skills
Retrieval-Augmented Generation (RAG)
Prompt Engineering
AI Agent Development
Embedding Models (e.g., OpenAI Ada Embedding 002)
Vector Search
Semantic Search
AI Application Development
Cloud-based AI deployment
Ideal Candidate Profile
The ideal candidate should possess strong expertise in:
Python
Machine Learning
Generative AI
NLP
RAG Pipelines
Hugging Face
Transformers
Vector Databases
AWS Bedrock
LLM deployment
Streamlit/Gradio
API integration
Candidates with hands-on experience building production-grade Generative AI applications, LLM-powered products, AI agents, and RAG-based enterprise solutions will be highly preferred.
How to Apply
Interested candidates can share their updated resume to:
Email: karthicc@nallas.com
