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.
Skills Required
- Hands-on experience working with LLMs and agentic systems
- Experience taking LLM and AI solutions into production
- Strong Python and backend development experience
- Experience with cloud deployment, system debugging, observability, and reliability
- Hands-on experience with LangGraph, CrewAI, or similar agentic frameworks
- Strong understanding of scalable and reliable AI systems
- Experience with model evaluation and prompt engineering
- Experience with Kubernetes
- Experience with MLflow
- Experience with AI and security tooling
What We Do
CodeValue, founded in 2010, is a dynamic services company delivering supreme architectural and technical expertise and in-depth consultancy. We integrate product & design research in our development process, provide managed software and cloud solution, and offer customized training programs to bridge knowledge gaps. We are an Azure Gold Partner and AWS Consulting Partner and a professional home to savvy cloud developers and solution & devOps architects. We develop dedicated cloud-native code and apps that optimize cloud usage costs and assist our customers with their digital transformation journey to the cloud. CodeValue’s diverse offering encompasses both projects covering the full spectrum of software development and technology deployment and projects requiring swift responsiveness, high efficiency & flexibility. Our solutions address varied needs across every domain, from startups and mid-size firms, government agencies, public and private enterprises, and global corporations. Our highly talented leadership team is always on the technological forefront, transfusing our customers with new possibilities, methods, and technologies. Our vision is to be the best development company. Be it cutting edge technology adoption and implementation, nurturing our elite development team, or embracing new processes and models. Building on our vast real-world experience we assist our customers spearhead their fields.
