Primary Responsibilities
Fine-tune, evaluate, and optimize open-source and commercial AI models for specific business use cases.
Develop scalable APIs and AI services using Python frameworks such as FastAPI or Flask.
Build intelligent automation workflows using AI, vector databases, and orchestration frameworks.
Design and implement machine learning pipelines for data preprocessing, feature engineering, model training, validation, and deployment.
Collaborate with Product Managers, Architects, UI/UX Designers, and DevOps teams to deliver AI-powered products.
Optimize model inference performance, latency, and infrastructure costs.
Mentor junior AI engineers and participate in architecture discussions, technical reviews, and code reviews.
Research and evaluate emerging AI technologies and recommend adoption where appropriate.

Technical RequirementsProgramming Languages
Robust expertise in Python.
Valuable knowledge of SQL.
Basic understanding of JavaScript or TypeScript for AI integrations.

Artificial Intelligence & Machine Learning
Strong experience with Machine Learning,



Deep Learning, NLP, and Generative AI.
Hands-on experience with LLMs such as GPT, Claude, Llama, Qwen, Mistral, or Gemma.
Experience developing AI Agents and multi-agent workflows.
Robust understanding of prompt engineering, structured outputs, function calling, and tool integration.
Experience implementing Retrieval-Augmented Generation (RAG) architectures.
Knowledge of embedding models and semantic search.

AI Frameworks (Any)
LangChain
LangGraph
LlamaIndex
Haystack (preferred)
OpenAI SDK
Hugging Face Transformers
Sentence Transformers

Machine Learning Frameworks (Any)
PyTorch
TensorFlow
Scikit-learn
XGBoost
LightGBM

Vector Databases (Any)
Pinecone
Qdrant
Milvus
ChromaDB
FAISS

Backend Development
FastAPI
Flask
RESTful APIs
WebSockets
Background workers (Celery/RQ)

Databases (Any)
PostgreSQL
MongoDB
Redis

Cloud &

📌 Ai/ml Engineer Ahmedabad
🏢 Moon Technolabs
📍 Ahmedabad