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Gen AI Engineer

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Onsite

Gen AI Engineer

Pearlsoft Technology

Gen AI Engineer

Skills

SQL QueriesMongoDBDeep LearningDockerDjangoPythonData SciencePyTorchTensorFlowPostgreSQLData AnalysisMachine LearningAIElasticsearchNo-code AutomationsNLP / Natural Language ProcessingFastAPIApache Airflow

1 month ago

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Important information


Contract type:

Permanent

Location:

Kochi, Kerala, India

Work mode:

Onsite

Published on:

28 September 2026

What they need


We are looking for 5+ years of experienced AI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), Vision Language Models (VLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks. The ideal candidate will design, develop, and deploy scalable AI solutions for intelligent automation, document processing, computer vision, and conversational AI.

Key Responsibilities
Design and develop AI applications using LLMs, VLMs, RAG, and Agentic AI frameworks.
Build intelligent chatbots, AI assistants, and workflow automation solutions.
Develop and optimize AI/ML models for NLP, computer vision, and predictive analytics.
Implement vector databases and semantic search solutions.
Fine-tune and evaluate open-source LLMs using LoRA/PEFT techniques.
Develop REST APIs and production-ready AI services using FastAPI/Django.
Build scalable data pipelines for document ingestion, indexing, and retrieval.
Deploy AI solutions using Docker and cloud infrastructure.
Collaborate with cross-functional teams to deliver production-grade AI products.

Required Skills
Strong programming skills in Python and SQL.
Experience with Generative AI, LLMs, LangChain, LlamaIndex, CrewAI, LangGraph, or AutoGen.
Hands-on experience with RAG architectures and vector databases (Qdrant, ChromaDB, Pinecone, Weaviate, or PGVector).
Knowledge of Machine Learning and Deep Learning frameworks (PyTorch, TensorFlow, Scikit-learn).
Experience with FastAPI/Django, REST APIs, and Docker.
Familiarity with PostgreSQL, MongoDB, and Elasticsearch.
Good understanding of AI model evaluation, prompt engineering, and production deployment.

Preferred Skills
Experience in Computer Vision (YOLO, RT-DETR, OpenCV).
Experience with Airflow, cloud platforms, and MLOps.
Familiarity with explainable AI (SHAP) and AI benchmarking tools.

Experience
5+ years of experience in AI/ML Engineering with hands-on experience in Generative AI and production AI applications.

Education
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field

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