Job Summary
We are looking for an Intermediate (typically 4-6 years of relevant professional experience) AI, ML & LLM Engineer to support hands-on development and delivery across existing AI platforms and tools. This role requires strong technical execution, independent task ownership, and the ability to enhance and extend AI capabilities while collaborating with architects and stakeholders to deliver measurable business value.
Key Responsibilities
- Develop, enhance, and maintain AI/ML and LLM-based solutions
- Work with foundation model APIs (OpenAI, Vertex AI, Azure AI) and apply prompt engineering techniques
- Support ML lifecycle: data preparation, experimentation, evaluation, and basic MLOps
- Integrate AI solutions into enterprise applications and data platforms
- Deploy and manage cloud infrastructure using Terraform
- Optimize AI workloads for performance and cost efficiency
- Implement data security, access control, and responsible AI practices
- Build AI-powered UI components (chat interfaces, forms, dashboards)
- Develop reusable components using React, Next.js, and TypeScript
- Participate in sprint planning, testing, and code reviews
- Collaborate with technical and business stakeholders
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Data Science, AI, Engineering, or equivalent experience
- 4-6 years of experience in Software Engineering, Data Engineering, or AI/ML roles
- Strong experience with Python and SQL
- Hands-on experience with Large Language Models (LLMs) and prompt engineering
- Experience with cloud platforms (AWS and/or GCP)
- Working knowledge of cloud-native services (compute, storage, data services)
- Experience integrating REST APIs and service-based architectures
- Hands-on Terraform experience (deploying and modifying modules)
Preferred Qualifications
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with MLOps tools and pipelines (e.g., MLflow, Kubeflow, TFX, or Vertex Pipelines)
- Experience with observability and monitoring for ML systems (metrics, logging, tracing)
- Prior work building production-facing UI components with React/Next.js
- Knowledge of responsible AI frameworks, model governance, and data privacy best practices
Soft Skills
- Effective verbal and written communication skills to explain technical concepts to non-technical stakeholders
- Strong collaboration and teamwork mindset, including cross-functional work with product and data teams
- Problem-solving orientation and ability to take ownership of deliverables
- Mentoring and knowledge-sharing with junior team members
Skills: machine learning lifecycle,large language models (llm),mlops,terraform,prompt,python
