AI Lead Engineer
New
IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonMachine LearningPyTorchTensorflowDeep LearningNLPPrompt EngineeringLLM
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
- 5+ years of experience building and deploying AI/ML solutions, including machine learning, NLP, and deep learning applications.
- Strong hands-on experience with prompt engineering and designing effective LLM-based workflows.
- Strong programming skills in Python and experience with the Python AI/ML ecosystem.
- Solid understanding of LLM concepts, information retrieval, recommendation systems, predictive AI, and AI application architectures.
- Experience working with data engineering workflows, including data extraction, cleaning, transformation, and preparation for LLM applications.
- Familiarity with external AI APIs, inference platforms, and hosted model services.
- Good understanding of AWS services and cloud-based AI solutions.
- Strong software engineering background with experience building reliable production systems.
- Ability to work independently while collaborating effectively within distributed teams.
Responsibilities
- Design, develop, and deploy AI/ML solutions leveraging large language models, prompt engineering, and retrieval-augmented generation (RAG) approaches.
- Integrate enterprise AI services and build production-ready AI capabilities using cloud-based AI platforms.
- Develop context-aware prompts that incorporate relevant business data and improve the accuracy and usefulness of AI-generated responses.
- Create, maintain, and optimize AI prompt templates and expand prompt libraries to support evolving product requirements.
- Implement model selection strategies to balance performance, scalability, and inference costs by routing workloads to appropriate AI models.
- Build and maintain audit logging systems for AI interactions, ensuring traceability, governance, and compliance requirements.
- Collaborate with product managers, data scientists, and software engineers to identify AI opportunities and deliver impactful solutions.
- Implement, fine-tune, and optimize AI/ML models to improve performance, reliability, and efficiency.
- Conduct experiments, analyze results, and communicate technical findings and recommendations to stakeholders.
- Develop documentation for AI architectures, models, workflows, and best practices.
- Stay current with emerging AI research, LLM advancements, and industry trends to continuously improve solutions.
- Provide technical leadership, mentorship, and guidance to junior AI/ML engineers and team members.
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