Gen AI Engineer

GenAI Engineer

Job Summary:

We are looking for a skilled GenAI Engineer with hands-on experience in designing, developing, and deploying Generative AI solutions at scale. The ideal candidate should have strong expertise in Large Language Models (LLMs) and will play a vital role in building intelligent solutions for document processing, information extraction, knowledge management, and enterprise automation.

Key Responsibilities:

• Design, develop, and deploy Generative AI applications using LLMs and modern AI frameworks.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
• Develop intelligent document processing and information extraction solutions using AI technologies.
• Create and optimize prompts to improve model performance, accuracy, and user experience.
• Integrate LLMs with enterprise applications, APIs, vector databases, and cloud platforms.
• Develop scalable AI workflows using LangChain and related orchestration frameworks.
• Evaluate, fine-tune, and benchmark different LLMs based on business requirements.
• Implement monitoring, logging, and performance optimization for production AI systems.
• Collaborate with business stakeholders, data engineers, and application teams to deliver AI solutions.
• Ensure AI solutions meet security, governance, and compliance standards.
• Troubleshoot and enhance deployed AI applications to improve reliability and efficiency.
• Stay updated with advancements in Generative AI, LLMs, RAG architectures, and emerging AI technologies.

Requirements:

• 5–7 years of overall software development, data engineering, or AI/ML experience.
• Hands-on experience in Generative AI and Large Language Model (LLM) application development.
• Strong expertise in LangChain, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Experience in document processing & information extraction with production LLM pipelines.
• Strong programming skills in Python.
• Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
• Experience building and deploying AI solutions on AWS.
• Understanding of embeddings, semantic search, and knowledge retrieval frameworks.
• Familiarity with REST APIs, microservices, and cloud-native architectures.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience with LangGraph, LlamaIndex, CrewAI, AutoGen, or similar agentic AI frameworks.
• Exposure to fine-tuning, model customization, and AI governance frameworks.
• Experience with AWS Bedrock, SageMaker, OpenSearch, or related AI services.
• Knowledge of MLOps, CI/CD pipelines, and AI application monitoring.
• Experience working in enterprise-scale AI transformation projects.

Benefits:

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits package.
• Flexible work hours and remote working options.
• Continuous learning and professional development opportunities.
• Collaborative and innovative work environment.
• Access to cutting-edge tools and technologies in AI.
• Employee engagement programs and team-building activities.