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Artificial Intelligence Engineer

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Hybrid

Artificial Intelligence Engineer

Spark Tech Wave Innovation

Artificial Intelligence Engineer

Skills

Google Cloud PlatformSQL QueriesDeep LearningDockerPythonData SciencePyTorchTensorFlowGitMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingFastAPIAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Hybrid

Published on:

6 October 2026

What they need


AI Engineer Python | Machine Learning | GenAI | LLM | AI Agents

Company: Spark Techwave InnovationZ Pvt Ltd
Job Type: Full-Time
Experience: 2–6 Years
Location: Chennai / Remote / Hybrid
Department: Engineering / Artificial Intelligence

Job Summary

We are looking for an AI Engineer to design, develop, integrate, and deploy AI/ML solutions for real-world business applications.

The ideal candidate should have strong programming skills in Python, good knowledge of Machine Learning and Deep Learning, and hands-on exposure to Generative AI, LLMs, RAG, AI Agents, and AI application development.

The candidate will work closely with engineering and business teams to build scalable and production-ready AI solutions.

Key Responsibilities

  • Design and develop AI/ML applications using Python.
  • Build, train, evaluate, and optimize machine learning models.
  • Develop Generative AI applications using LLMs.
  • Build RAG (Retrieval-Augmented Generation) pipelines using documents, databases, and vector stores.
  • Develop and integrate AI Agents and agentic workflows.
  • Work with LLM APIs and AI frameworks.
  • Perform data preprocessing, feature engineering, model evaluation, and experimentation.
  • Develop APIs and backend services for AI applications.
  • Integrate AI models with existing applications and business systems.
  • Work with vector databases and embedding models.
  • Optimize AI applications for performance, scalability, accuracy, and cost.
  • Deploy AI/ML applications using cloud or containerized environments.
  • Monitor and troubleshoot AI applications in production.
  • Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.

Required Skills

  • Strong programming experience in Python.
  • Good understanding of Machine Learning concepts and algorithms.
  • Experience with Generative AI / LLM applications.
  • Knowledge of LLM APIs, prompt engineering, and embeddings.
  • Understanding of RAG architecture.
  • Experience with REST APIs / FastAPI or similar frameworks.
  • Strong SQL and database fundamentals.
  • Good understanding of software development and debugging.
  • Familiarity with Git/version control.

Good to Have

  • Experience with AI Agents / Agentic AI.
  • LangChain, LangGraph, LlamaIndex, or similar frameworks.
  • Vector databases such as FAISS, Chroma, Pinecone, Weaviate, or Milvus.
  • OpenAI, Azure OpenAI, Gemini, Claude, or other LLM APIs.
  • Experience with Hugging Face / Transformers.
  • Deep Learning using PyTorch or TensorFlow.
  • Docker and Kubernetes.
  • AWS / Azure / GCP.
  • MLflow or other MLOps tools.
  • Knowledge of NLP, Computer Vision, or Speech AI.
  • Experience deploying AI applications in production.

Education

  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.

Preferred Candidate Profile

  • 2–6 years of experience in AI/ML or software engineering.
  • Strong Python programming and problem-solving skills.
  • Hands-on experience building AI/ML applications or projects.
  • Ability to understand business requirements and convert them into technical AI solutions.
  • Good communication and collaboration skills.
  • Candidates with strong GenAI/LLM projects and relevant practical experience are encouraged to apply.

Please send your resume at [email protected]

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