Design and lead AI-powered solutions using MCP, agentic AI frameworks, LLMs, RAG, and multi-step tool orchestration. Build full-stack AI applications with React, Next.js, Node.js, and TypeScript while developing and fine-tuning machine learning models. Establish responsible AI governance, security, monitoring, and compliance practices. Mentor engineering teams, evaluate emerging AI technologies, and guide enterprise adoption across scalable AI architectures.
- Design and architect AI-powered solutions using Model Context Protocol (MCP) and agentic AI frameworks. Define AI integration patterns aligned with Staples technical strategy and business objectives.
- Architect agentic AI systems that can autonomously reason, plan, and execute complex workflows. Implement multi-step reasoning, function calling, and tool orchestration for intelligent automation.
- Master Model Context Protocol (MCP) implementation to enable seamless integration between AI models and various data sources, APIs, and enterprise systems. Design MCP servers and clients for optimal performance.
- Develop full-stack AI applications using React, Next.js, Node.js, and TypeScript that leverage advanced AI capabilities. Build responsive interfaces that interact with AI backends and agentic systems.
- Evaluate, experiment with, and integrate cutting-edge LLMs and AI frameworks such as Claude and GPT models. Stay current with rapid advancements in AI and provide recommendations on adoption.
- Implement prompt engineering best practices, fine-tuning strategies, and retrieval-augmented generation (RAG) systems. Design AI solutions that balance accuracy, cost, latency, and user experience.
- Lead governance and security initiatives for AI systems, including bias mitigation, explainability, compliance, and responsible AI practices. Establish frameworks for monitoring AI model behavior.
- Mentor engineering teams on AI integration, agentic patterns, and MCP architecture. Drive knowledge sharing through documentation, workshops, and collaboration to accelerate AI adoption.
Requirements
Primary skills:
Agentic AI ,Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, LLMs, RAG, Prompt Engineering, Feature Engineering, Model Training & Fine-tuning, MLflow, Kubeflow, Docker, Kubernetes, Vertex AI, Azure ML, SQL, Spark, Vector Databases, AI System Architecture, MCP, REST APIs, CI/CD for ML, Model, Semantic Search, Couch DB
Good to have skills:
FAISS, Pinecone, Weaviate, Solace, Airflow, dbt, Snowflake, BigQuery, Databricks, FastAPI, Flask, Pandas, NumPy, GAN, VAE, Diffusion Models, Embeddings, Feature Stores, Data Drift Detection, Multi-agent Systems, Responsible AI, Bias Auditing
Similar Jobs
eCommerce • Retail • Software
Designs and scales AI/ML platforms for pricing, promotion optimization, and demand forecasting across B2C and B2B channels. Develops time-series, causal inference, reinforcement learning, recommendation, and price elasticity models. Builds end-to-end ML pipelines, production API integrations, monitoring, retraining, and drift detection. Collaborates with data engineering, product, marketing analytics, cloud, and business teams to optimize revenue, profitability, promotions, competitive pricing, and customer-segment decisions.
Top Skills:
APIsArimaAzureAzure SqlDatabricks DeltaDeeparGitGoogle Cloud Platform (Gcp)LstmMulti-Armed BanditsProphetPythonPyTorchReinforcement LearningScikit-LearnSnowflakeTemporal Fusion TransformerTensorFlow
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides technical leadership for aerospace navigation database production and customer support. Engages internal and external stakeholders to resolve technical issues, delivers tailored solutions, and supports production lifecycle activities. Develops quality assurance processes aligned with DO-200 standards, conducts reviews and audits, coordinates with source suppliers, improves workflows, and mentors team members. Requires extensive aerospace and flight operations knowledge, including FMS, ARINC 424, navigation procedures, flight planning, and aeronautical charts.
Top Skills:
Aerospace Navigation DatabasesArinc 424Do-200Flight Management Systems (Fms)Honeywell Navigation Database Formats
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Designs, develops, integrates, and validates aerospace engine, power, avionics, and actuation control systems. Responsibilities include requirements engineering, system architecture, control-system analysis, MATLAB/Simulink modeling, embedded C development, sensor and actuator integration, SIL/HIL testing, verification, validation, and aerospace certification compliance. The role supports model-based development and real-time embedded applications using aerospace standards and communication protocols.
Top Skills:
AfdxArinc 429Arm CortexArp4754AArp4761C++CanDo-160Do-178CDo-254DoorsDoors NgEmbedded CHilMatlabMbsePowerpcRs232Rs422/485RtosSilSimulinkStateflowSysmlTi C2000
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
