Senior AI Engineer

CodeValue is looking for a hands-on Senior AI Engineer with real-world experience building and deploying LLM-based and Agentic Systems to production.

You will be responsible for taking AI solutions from concept to reliable, scalable production systems, working across AI, backend, cloud, and infrastructure.

Responsibilities

• Design, develop, and deploy LLM-based and Agentic Systems for production environments.

• Take AI/Agentic solutions from PoC and concept stages to stable, scalable, and reliable production systems .

• Develop backend services and AI solutions using Python .

• Work hands-on with agentic frameworks such as LangGraph, CrewAI , or similar/custom frameworks.

• Deploy and operate AI systems in cloud environments .

• Troubleshoot complex system issues and improve observability, reliability, and performance .

• Collaborate with development, DevOps, security, and other technical teams.

• ·      5+ years of hands-on experience in product-based tech companies, with a focus on AI/ML systems.

• ·      Proven track record in designing and implementing GenAI-powered solutions using LLMs and transformer-based architectures.

• ·      Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and LLM-based workflows.

• ·      Strong experience with Azure Cognitive Services.

• ·      Proficiency in Python or other relevant languages (e.g., TypeScript, Go), including use of AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch).

• ·      Familiarity with containerized environments and orchestration tools (e.g., Docker, Kubernetes).

• ·      Comfortable working with multi-cloud environments (Azure, AWS, or GCP).

• ·      Experience with Agile/Scrum development methodologies.

• ·      Strong communication skills and fluency in English (spoken and written).

-

• Preferred Qualifications/ Skills

• ·      Experience with building high-performance distributed systems.

• ·      Familiarity with agentic frameworks for multi-step reasoning or workflow automation.

• ·      Exposure to AI model governance, data compliance, and MLOps pipelines.

• ·      Background in Computer Science or related technical degree.