Senior Artificial Intelligence Engineer

Senior Software Engineer AI
Location: Gurgaon, India
Experience: 3+ years

Role Summary

We are seeking a highly skilled to design, develop, and deploy machine-learning models and AI-driven solutions. The role involves working with clients, software engineers, and product teams to transform data into actionable insights and intelligent applications.

Key Responsibilities

• Design and build agentic AI systems, including:

• Tool use

• Multi-agent orchestration

• ReAct / chain-of-thought pipelines

• Develop and deploy LLM-powered features, including:

• RAG pipelines

• Autonomous workflow automation

• Own prompt engineering and context engineering, including context windows, token budgets, and structured outputs.

• Build backend services using Python and FastAPI.

• Design and manage relational databases using SQLAlchemy and Alembic.

• Host and serve custom models on AWS SageMaker, including endpoint management, scaling, and inference pipelines.

• Work with Hugging Face and open-source models for model selection, inference, and lightweight customization.

• Establish and maintain ML/AI-Ops workflows, including CI/CD, automated testing, model deployment, and continuous delivery.

• Stay current with developments in ML, AI, deep learning, and agentic frameworks.

Must-Have Skills

• 4+ years Python experience, preferably Python 3.10+

• Production-grade Python development

• Async programming and FastAPI

• GenAI fundamentals:

• Tokens

• Embeddings

• Prompt engineering

• Context engineering

• A2A (Agent-to-Agent) and MCP (Model Context Protocol)

• Basic ML/NLP:

• Classification

• Regression

• NLP pipelines

• BERT

• LIWC

• Bag of Words

• Embedding-based similarity

• Hands-on AWS SageMaker model deployment/hosting

• Hugging Face ecosystem

• ML/MLOps / AI-Ops

• CI/CD

• Model versioning

• Monitoring

• Automated evaluation

• Strong DSA and software engineering fundamentals

• Strong problem-solving and communication skills.