Ai Engineer

Key ResponsibilitiesAI Development & Integration

• Develop and implement AI-powered features using Python and LLM technologies
• Integrate various LLMs into existing software systems
• Build new applications with AI capabilities
• Create APIs using FastAPI and Django for AI service delivery
• Develop prototypes to demonstrate AI solutions

LLM Implementation

• Work with both enterprise LLMs (like OpenAI, Anthropic, Google) and open-source alternatives (like LLaMA, Mistral)
• Implement effective prompting strategies
• Design systems that leverage LLM capabilities
• Monitor and improve LLM performance and response quality

Technical Infrastructure

• Deploy containerized AI applications using Docker
• Assist in setting up LLM hosting environments
• Implement basic monitoring and logging for AI systems
• Help ensure AI services run smoothly

Collaboration

• Work with different teams including product and engineering
• Document your work and share knowledge with the team
• Participate in code reviews
• Contribute to technical discussions about AI integration

Required Qualifications

Required Qualifications
Experience

• Minimum 1 year of professional experience in AI/ML engineering or related field
• Minimum 2 years of hands-on Python programming experience in professional environments
• Demonstrated experience developing and deploying machine learning models in production systems
• Proven track record of working with large datasets and complex AI/ML projects

Technical Skills

• Programming: Advanced proficiency in Python, including experience with NumPy, Pandas, Matplotlib, and Scikit-learn
• Machine Learning: Strong understanding of supervised and unsupervised learning algorithms, deep learning concepts, and neural network architectures
• Frameworks: Hands-on experience with TensorFlow, PyTorch, or Keras for model development and training
• Data Technologies: Proficiency in SQL, database management, and data preprocessing techniques
• Development Tools: Experience with Git version control, Docker containerization, and cloud platforms (AWS, Google Cloud, or Azure)
• APIs: Experience developing RESTful APIs using Flask, FastAPI, or Django

Job Types: Full-time, Permanent

Pay: From ₹300,000.00 per year

Benefits:

• Commuter assistance
• Flexible schedule
• Health insurance
• Leave encashment
• Life insurance
• Paid sick time
• Provident Fund

Ability to commute/relocate:

• Manjeri, Kerala: Reliably commute or planning to relocate before starting work (Required)

Shift availability:

• Day Shift (Required)
• Overnight Shift (Required)

Work Location: In person