Artificial Intelligence Engineer

Lead / Sr AI Developer

Job Description

You’ll Do

• Architect, build, and optimize production-grade Generative AI applications

using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel,

or custom orchestration layers.

enabling intelligent, goal-driven workflows with memory, reasoning, and

contextual awareness.

integrating LLMs, vector databases, and real-time data pipelines.

reasoning quality, adaptability, and user relevance.

similar) aligned with SOLID principles, OOP, and clean architecture.

testing, CI / CD, observability, and post-deployment monitoring.

accelerate development while maintaining code quality and maintainability.

models using Docker, Kubernetes, and modern CI / CD pipelines.

LLMs (Llama 3, Mixtral, etc.).

semantic search, RAG, and context retrieval.

velocity and reliability across AI teams.

features into scalable user-facing products.

architecture reviews, and AI best practices.

and validate emerging AI techniques.

What You Bring

in AI / ML systems engineering or Generative AI.

microservice architecture.

production.

frameworks.

APIs.

evaluation techniques.

pipelines.

(e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).

deployments.

optimization.

challenges.

technical discipline