Sr. AI/ML Developer

Moon Technolabs

Ahmedabad, INonsitePosted Jul 21, 2026
Posting intelligenceActively listed

Skills

scikitlearnjavascripttypescripttensorflowlangchainpytorchpythonopenaiflasknaturallanguageprocessingllmml

About the role

Title : Sr. AI/ML Developer (4+ Years) Location : Ahmedabad | On-Site

Primary Responsibilities

Design, develop, and deploy production-ready AI/ML solutions for enterprise applications.

Build and optimize Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) pipelines.

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.

Ensure AI applications follow security, privacy, and responsible AI best practices.

Technical RequirementsProgramming Languages

Strong expertise in Python.

Good 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.

Strong 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

Benefits:

Flexible schedule

Work Location: In person

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