Senior AI Developer

Key Responsibilities

• Platform and Architecture Design and develop a scalable Agentic AI platform leveraging Intel AI super builder and MCP based architectures
• Create end to end systems including Agent frameworks, orchestration layers, inference pipelines and user interfaces
• Integrate AI solutions across edge, on-premise and cloud environments
• Develop and Extend MCP-based work flow orchestration and Data ingestion systems
• Implement Trigger-based workflows (Scheduled RAG + MCP pipelines)
• Develop Multi-agent Coordination pipelines (eg: evaluate à summarize à score)
• Seamless integration of multiple data sources and MCP servers
• Build reusable agent templates and tools
• Develop multimodal AI systems
• Develop multi-modal AI pipelines for Audio (transcription, summarization, chapterization)
• Develop multi-modal AI pipelines for Video (CCTV/Ring-style summarization, event detection)
• Develop multi-modal AI pipelines for Vision-Language Reasoning (VLM-based systems)
• Implement orchestration and validation pipelines for multimodal workflows
• Optimize inference for edge deployment on Intel CPU/GPU/NPU platforms
• Build domain-specific AI agents aligned to measurable business outcomes, including Staff interaction tracking, Customer journey intelligence
• Translate AI outputs into business KPIs and actionable insights
• Collaborate with stakeholders to align AI systems with revenue, efficiency and customer experience goals
• Design and implement a centralized control plane for Agent orchestration, routing scheduling and life cycle management
• Design and reliability agent for monitoring, evaluation, guardrails
• Maximize utilization across Intel CPU/GPU/NPU and dynamically schedule workloads

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
• 5+ years in AI/ML system development across domains (NLP, CV, Multimodal AI)
• 2+ years of experience in developing Generative AI / Agentic AI systems in production environments
• Strong experience with LLMs, SLMS, VLMS, Agent orchestration frameworks (MCP or similar paradigms)
• Experience building multi-agent systems and workflow pipelines
• Knowledge of RAG architectures and vector databases
• Systems and Infrastructure Experience with Edge + on-prem + cloud deployments
• Kubernetes and containerized environments
• Familiarity with Intel AI stack (Open Vino, CPU/GPU optimization)
• Experience with NVIDIA stack (CUDA, TensorRT)
• Programming: Strong coding skills in Python (mandatory)
• Frontend frameworks (React or similar)
• Scripting and automation tools