Agentic Developer

2 days ago

Chennai, Tamil Nadu, India Hogarth Worldwide Full time ₹ 12,00,000 - ₹ 36,00,000 per year

AI Engineers & Developers
Job Title: AI Engineer - Agentic Solutions

Job Summary:
We are seeking a skilled AI Engineer to design, develop, and deploy AI-powered agents and solutions that enhance business processes and solve complex problems. In this role, you will build intelligent systems capable of learning, adapting, and optimizing over time. You'll collaborate with cross-functional teams to create AI agents that deliver tangible business value while staying at the forefront of AI technology advancements.

Key Responsibilities:

  • Design and develop AI-powered agents for applications such as virtual assistants, customer service bots, and task automation systems using LLMs and other AI models
  • Build and train machine learning models utilizing tools like TensorFlow, PyTorch, and other AI frameworks
  • Implement natural language processing (NLP) techniques to enhance system understanding and responsiveness
  • Collaborate with cross-functional teams to align AI solutions with business objectives
  • Optimize AI systems for scalability, performance, and real-time applications
  • Develop and maintain AI pipelines for deploying models into production environments
  • Utilize cloud platforms such as Azure Machine Learning, Google Vertex AI, and AWS Bedrock for end-to-end model development and deployment
  • Establish processes for real-time model monitoring, including tracking performance and accuracy of models in production
  • Troubleshoot and improve AI applications for better performance and user experience
  • Stay updated with the latest advancements in AI technology and implement innovative solutions

Required Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, or related field
  • 3-5 years of experience in AI/ML development with focus on building practical AI applications
  • Strong understanding of machine learning algorithms, neural networks, and deep learning techniques
  • Proficiency in Python programming and AI/ML frameworks (TensorFlow, PyTorch)
  • Experience with large language models (LLMs) and prompt engineering techniques
  • Knowledge of vector databases for semantic retrieval of relevant context
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong problem-solving and analytical skills
  • Excellent communication skills for collaborating with technical and non-technical stakeholders

Preferred Qualifications:

  • Experience with AI orchestration tools like LangChain, Flowise, or similar agent SDKs
  • Experience with agent architecture optimization techniques
  • Knowledge of reinforcement learning and its applications
  • Experience developing and deploying AI-powered APIs
  • Familiarity with AI-driven process optimization for business workflows
  • Experience with model retraining and optimization pipelines

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