Lead AI Engineer
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
Design develop and deploy productiongrade AI and machine learning
solutions.
Build and optimize LLMpowered applications including prompt engineering
model orchestration and evaluation.
Take ownership of AI system architecture performance and scalability.
Write clean efficient and maintainable Python and code.
Develop and maintain RESTful APIs and microservices for AI services.
Work closely with product data and engineering teams to translate business
requirements into technical solutions.
Deploy AI/ML workloads on cloud platforms and ensure production
readiness.
Implement best practices for model integration monitoring and reliability.
Stay current with emerging trends in AI Generative AI and machine
learning frameworks.
Required Skills & Qualifications
8 12years of handson experience in AI/ML or advanced software engineering
roles.
Handson experience with LLM frameworks (e.g. LangChain LlamaIndex
Hugging Face etc.).
Strong proficiency in Python and .
8 12years of handson experience in AI/ML or advanced software engineering
roles.
Handson experience with LLM frameworks (e.g. LangChain LlamaIndex
Hugging Face etc.).
Strong proficiency in Python and .
Experience working with machine learning frameworks such as TensorFlow
PyTorch or Scikitlearn.
Solid understanding of RESTful API design microservices architecture
and cloud deployment (AWS/Azure/GCP).
Working knowledge of data engineering concepts and database systems
(SQL/NoSQL).
Strong problemsolving skills with an ability to work independently and
collaboratively.
Ability to own features endtoend and deliver highquality solutions.
PyTorch or Scikitlearn.
Solid understanding of RESTful API design microservices architecture
and cloud deployment (AWS/Azure/GCP).
Working knowledge of data engineering concepts and database systems
(SQL/NoSQL).
Strong problemsolving skills with an ability to work independently and
collaboratively.
Ability to own features endtoend and deliver highquality solutions.
Good to Have
Experience with MLOps CI/CD pipelines and model lifecycle workflows.
Exposure to vector databases embeddings and RAGbased architectures.
Experience optimizing AI models for performance and cost efficiency.
Familiarity with AI security governance and monitoring practices.
Experience with MLOps CI/CD pipelines and model lifecycle workflows.
Exposure to vector databases embeddings and RAGbased architectures.
Experience optimizing AI models for performance and cost efficiency.
Familiarity with AI security governance and monitoring practices.
