AI Engineer/Architect

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Job Summary

Key Responsibilities

AI System Design & Architecture :

• Architect modular, scalable AI/ML systems for real-time decision-making, analytics, and automation.
• Design agentic AI architectures including single-agent and multi-agent systems that can autonomously execute complex tasks.
• Build advanced end-to-end AI pipelines - from data ingestion to inference and feedback loops.
  

AI Model Development & Optimization

• Fine-tune and adapt large language models (LLMs), transformers, and deep learning models for domain-specific use cases.
• Customize and optimize models for performance, latency, and interpretability across diverse real-world scenarios.
• Integrate models with tools and services using APIs, embeddings, and vector databases.
  

Cloud & Platform Integration

• Lead deployment of AI models on cloud platforms such as :
• AWS SageMaker
• Google Cloud Vertex AI
• Azure Machine Learning
• Utilize containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure as code (Terraform/CDK) for scalable & Tooling :
• Leverage advanced AI frameworks and libraries such as :
• LangChain, AutoGPT, Autogen
• Hugging Face, OpenAI APIs
• PyTorch, TensorFlow, Transformers
• Build reusable components to accelerate experimentation and & Research Prototyping :
• Evaluate and prototype next-generation AI technologies including :
• Neuro-symbolic AI
• Self-improving agents
• Federated learning, edge AI, reinforcement learning
• Rapidly develop proof-of-concepts to validate emerging ideas and guide future innovation strategy.
  

System Validation & Ethics

• Ensure models are rigorously tested for :
• Bias mitigation, fairness, and compliance with ethical AI standards
• Security, explainability, and robustness under stress conditions
• Maintain documentation and version control for all deployed AI Collaboration :
• Work closely with product managers, software engineers, data scientists, and business stakeholders to align AI solutions with organizational goals.
• Translate business challenges into scalable AI-driven solutions and data strategies.
• Mentor junior engineers and lead AI initiatives within the Skills & Qualifications :
• 6+ years of professional experience in AI/ML architecture and engineering.
• Proven expertise in deploying AI/ML solutions on AWS, Azure, or GCP cloud platforms.
• Strong programming skills in Python and familiarity with core AI libraries (e.g., scikit-learn, PyTorch, TensorFlow).
• Experience with LLM-based architectures, autonomous agents, and multi-agent frameworks.
• Working knowledge of frameworks like LangChain, AutoGPT, Autogen, RAG, or similar is a major advantage.
• Strong understanding of data structures, algorithms, and software architecture principles.
• Excellent verbal and written communication skills, with the ability to present complex ideas clearly to technical and non-technical audiences.
• Ability to lead AI strategy, manage projects, and collaborate across functions.
  

Nice To Have (Preferred Skills)

• Experience in generative AI, NLP, computer vision, or reinforcement learning.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) for embedding-based search and retrieval.
• Background in simulation environments, game theory, or agent-based modeling.
• Exposure to MLOps best practices and tools (MLflow, DVC, Kubeflow, Airflow, etc.).
• Knowledge of data privacy laws, AI ethics, or regulatory compliance frameworks.
  

What We Offer

• Challenging & Impactful Work : Work on advanced, high-scale AI systems that solve real-world problems.
• Autonomy & Ownership : Be a key contributor in defining the AI vision and building next-gen architectures.
• Growth Opportunities : Expand your career in a high-impact role with access to cutting-edge AI technologies and thought leadership.
• Collaborative Culture : Join a team of ambitious, technically strong professionals who are passionate about AI and innovation.
• Remote Flexibility : Work from anywhere while collaborating with global talent across time zones.
• Competitive Compensation : Attractive salary package with performance-based incentives and potential equity options (if Process :
• Step 1 : Submit your updated resume and portfolio/GitHub links.
• Step 2 : Shortlisted candidates will be invited for a technical interview and architectural deep-dive.
• Step 3 : Final round will include a case study or live problem-solving session.