AIML Engineer

Luminous Infoways; Khordha; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Luminous Infoways Pvt. Ltd. in India is seeking a skilled AIML Engineer with 3–5 years of experience in AI, ML, NLP, Generative AI, RAG, and LLMs to design, develop, and optimize AI-powered solutions addressing real-world business needs.

The role involves building NLP pipelines, integrating LLMs with enterprise apps, crafting prompt strategies, and working with vector databases for efficient retrieval. Strong Python expertise and ML framework knowledge are essential.

Qualifications

• 3–5 years of AIML or AI engineering experience.
• Hands-on NLP, RAG, Generative AI, and LLMs.
• Proficiency in Python and ML libraries.

Responsibilities

• Design, develop, and deploy AI/ML models and intelligent applications.
• Develop and implement Generative AI, LLMs, and RAG solutions.
• Build NLP pipelines for text processing, extraction, classification, and semantic search.
• Integrate LLMs with enterprise apps via APIs and data sources.
• Develop prompt engineering strategies and LLM workflows.
• Work with vector databases and embeddings for retrieval.
• Evaluate, test, debug, and optimize models for performance.
• Collaborate with teams to translate business needs into AI solutions.
• Maintain documentation and ensure code quality, security, and deployment practices.

Skills

AI/ML concepts

NLP

Generative AI

RAG

LLMs

Python

Embeddings

Semantic search

Vector databases

Model evaluation

Git

SQL

Deployment

Education

B.Tech (CSE/IT)

MCA or M.Tech (relevant)

Equivalent technical expertise

Tools

LangChain

Hugging Face Transformers

PyTorch

TensorFlow

Scikit-learn

Job description

Luminous Infoways Pvt. Ltd. is looking for a skilled and motivated AIML Engineer with 3–5 years of relevant experience in Artificial Intelligence, Machine Learning, NLP, Generative AI, RAG, and Large Language Models (LLMs). The candidate will be responsible for designing, developing, implementing, and optimizing AI-powered solutions to address real-world business requirements.

Key Responsibilities

Design, develop, and deploy AI/ML models and intelligent applications.

Develop and implement solutions using Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).

Build NLP pipelines for text processing, information extraction, classification, and semantic search.

Integrate LLMs with enterprise applications, APIs, and external data sources.

Develop and optimize prompt engineering strategies and LLM workflows.

Work with vector databases and embedding models for efficient information retrieval.

Perform model evaluation, testing, debugging, and performance optimization.

Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.

Maintain technical documentation and follow best practices for code quality, security, and deployment.

Required Technical Skills

Strong knowledge of Artificial Intelligence and Machine Learning concepts.

Hands-on experience with NLP, Generative AI, RAG, and LLMs.

Proficiency in Python and relevant AI/ML libraries such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face Transformers.

Experience with prompt engineering, embeddings, semantic search, and vector databases.

Knowledge of REST APIs, data preprocessing, model evaluation, and integration workflows.

Familiarity with LangChain, LangGraph, or similar LLM orchestration frameworks is desirable.

Understanding of SQL, Git, and deployment practices is an advantage.

Educational Qualifications

B.Tech in Computer Science, Information Technology, Artificial Intelligence, or a related technical discipline.

MCA or M.Tech in a relevant technical specialization.

Equivalent relevant technical expertise may be considered.

Experience Requirements

3–5 years of relevant professional experience in AIML or AI engineering.

Practical experience developing and implementing AI/ML solutions.

Demonstrable hands-on experience with NLP, RAG, Generative AI, and LLM-based applications.

Preferred Candidate Profile

Strong analytical and problem-solving skills.

Ability to work independently and collaboratively within a team.

Good communication and technical documentation skills.

Willingness to learn and work with emerging AI technologies.