Senior AI Software Developer

1 week ago

Kolkata, West Bengal, India beBeeArtificialintelligenceengineer Full time ₹ 20,00,000 - ₹ 25,00,000
AI Engineer

We are seeking a talented and innovative AI Engineer to join our team. As an AI Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI solutions that drive business growth and customer satisfaction.

Key Responsibilities
  • AI Model Development: Develop and fine-tune self-hosted large language models (LLMs) such as LLaMA, Mistral, and MPT for use cases like personalized recommendations and age-aware product tagging.
  • Internal AI Assistants: Design and implement internal AI assistants and intelligent search solutions to enhance user experience and operational efficiency.
  • RAG Pipelines: Build scalable retrieval-augmented generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases such as FAISS, Pinecone, or Weaviate.
  • Moderation Systems: Develop and deploy scalable moderation systems to flag and manage unsafe or non-compliant products effectively.
  • Backend Systems: Architect and manage scalable backend systems on AWS using services like Lambda, API Gateway, ECS/Fargate, S3, and CloudWatch to ensure low-latency, auto-scalable AI service delivery.
  • CICD Pipelines: Set up continuous integration and deployment (CI/CD) pipelines to automate model deployments, updates, and monitoring for seamless AI operations.
  • Third-Party APIs: Integrate and manage third-party AI APIs (e.g., OpenAI, Anthropic, Perplexity) and assess performance trade-offs between local vs. hosted model deployments.
  • Personalization Engines: Build intelligent personalization engines that adapt based on child's age, gender, usage patterns, urgency cues (e.g., diaper restocking), and other contextual signals.
  • Logistics and Operations: Support logistics and operations with AI models for demand forecasting, ETA predictions, and rider/route optimization.
Required Skills and Qualifications
  • Technical Expertise: Strong programming skills in languages such as Python, Java, or C++. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Keras.
  • Cloud Computing: Experience with cloud computing platforms such as AWS, Google Cloud, or Microsoft Azure.
  • Database Management: Knowledge of database management systems like MySQL, PostgreSQL, or MongoDB.
  • Agile Methodologies: Familiarity with agile development methodologies like Scrum or Kanban.
Benefits
  • Competitive Salary: Competitive salary and benefits package.
  • Opportunities for Growth: Opportunities for career growth and professional development.
  • Collaborative Environment: Collaborative and dynamic work environment.

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