AI Engineer
Job Summary
We are seeking a highly qualified professional to join our team as an AI Engineer with opportunities across various seniority levels. In this role, you will design, build, and scale intelligent AI-powered solutions using modern machine learning and generative AI technologies. You will contribute to the development of robust AI application architectures and help drive innovation across the organization.
Responsibilities
- Design and develop AI/ML and generative AI solutions
- Build and optimize LLM/RAG pipelines
- Deploy, monitor, and scale AI production systems
- Collaborate on architectural strategy and technical leadership
Required Skills
- Python proficiency
- LLMs and Generative AI
- RAG and Vector Databases
- Cloud platforms (AWS/Azure/GCP)
- MLOps and CI/CD
Job Details
Job Responsibilities:
- Research, design, and develop AI-powered solutions using state-of-the-art ML and generative AI technologies.
- Build and optimize LLM-based applications, including RAG pipelines and agentic workflows.
- Design and integrate vector databases, prompt engineering strategies, and tool-calling mechanisms.
- Deploy, monitor, and optimize AI systems for performance, reliability, and scalability.
- Apply AI safety, evaluation, and guardrail best practices across AI solutions.
- Collaborate with cross-functional teams to translate business needs into AI solutions.
- Contribute to architecture decisions and platform scalability initiatives.
- Document designs, experiments, and operational procedures.
- Depending on seniority, mentor engineers, lead technical initiatives, and drive AI strategy and innovation.
Qualifications:
- Experience working with Large Language Models (LLMs) and generative AI ecosystems.
- Strong proficiency in Python and modern software engineering practices.
- Solid understanding of AI application architectures, including Retrieval-Augmented Generation (RAG).
- Experience with vector databases and semantic search solutions.
- Knowledge of agentic frameworks, tool calling, and orchestration patterns.
- Understanding of AI safety, evaluation, monitoring, and guardrails.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Understanding of MLOps practices, CI/CD pipelines, and model deployment workflows.
- Strong analytical, problem-solving, and communication skills.
Nice to Have:
- Experience with frameworks such as LangChain, LlamaIndex, Haystack, or similar.
- Exposure to multi-agent systems and advanced orchestration patterns.
- Experience working with large-scale production AI systems.
Working Model: Hybrid