Senior AI/ML Software Engineer

2 days ago

Kozhikode, Kerala, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Are you a skilled AI/ML developer looking for a challenging role? We are seeking an experienced software engineer to join our team and contribute to the design and development of AI-driven applications. As a key member of our team, you will be responsible for developing and maintaining the core logic for AI agents within FastAPI services, integrating with external LLM APIs, and optimizing prompt engineering techniques.

This role involves architecting the logic for AI agents to perform complex tasks within our e-commerce and retail data orchestration pipelines. You will also work on designing and implementing application logic for AI-driven features or agents, utilizing your knowledge of machine learning concepts and frameworks like PyTorch, TensorFlow, or Hugging Face. Additionally, you will collaborate with cross-functional teams to deliver AI features and stay updated on LLM advancements.

Key Responsibilities

  • Develop and maintain the core logic for AI agents within FastAPI services
  • Integrate with external LLM APIs and optimize prompt engineering techniques
  • Design and implement application logic for AI-driven features or agents
  • Collaborate with cross-functional teams to deliver AI features
  • Stay updated on LLM advancements and adapt to future in-house LLM fine-tuning and deployment efforts

Required Skills & Qualifications

  • 4–6 years of hands-on experience in software development with a strong focus on AI/ML application development
  • Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google)
  • Proven experience with prompt engineering techniques
  • Strong Python programming skills
  • Practical experience building and deploying RESTful APIs using FastAPI
  • Experience designing and implementing application logic for AI-driven features or agents
  • Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.)
  • Solid understanding of core machine learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment
  • Solid problem-solving skills and clear communication abilities
  • Experience working effectively in an agile environment
  • Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment
  • Bachelor's or Master's degree in Computer Science, AI, or a related field
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