Senior Artificial Intelligence Engineer

Smart Source; Gurugram District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Smart Source in Gurgaon, India seeks a Senior Software Engineer AI to design, develop, and deploy ML/AI solutions. You will collaborate with clients, engineers, and product teams to transform data into actionable insights and intelligent applications.

The role requires 4+ years Python experience, expertise in FastAPI and ML/NLP basics, and hands-on AWS SageMaker deployments. You will work on agentic AI, multi-agent orchestration, and CI/CD-driven ML workflows.

Qualifications

• 4+ years Python experience, Python 3.10+ preferred.
• Async programming and FastAPI proficiency.
• GenAI fundamentals including tokens, embeddings, prompt engineering, and context engineering.
• A2A (Agent-to-Agent) and MCP.
• Basic ML/NLP concepts: classification, regression, NLP pipelines, BERT, LIWC, embeddings.
• Hands-on AWS SageMaker model deployment/hosting.
• Hugging Face ecosystem experience.
• ML/MLOps: CI/CD, model versioning, monitoring, evaluation.
• Strong DS A and software engineering fundamentals.
• Strong problem-solving and communication skills.

Responsibilities

• Design and build agentic AI systems with tool use and multi-agent orchestration.
• Develop and deploy LLM-powered features, including RAG pipelines and autonomous workflow automation.
• Own prompt engineering and context engineering, including context windows and token budgets.
• Build backend services using Python and FastAPI.
• Design and manage relational databases using SQLAlchemy and Alembic.
• Host and serve custom models on AWS SageMaker with endpoint management and scaling.
• Work with Hugging Face models for selection and lightweight customization.
• Establish ML/AI-Ops workflows, including CI/CD, automated testing, and deployment.
• Stay current with ML/AI, deep learning, and agentic frameworks.

Skills

Python

Async programming

FastAPI

GenAI fundamentals

A2A and MCP

ML/NLP basics

AWS SageMaker

Hugging Face

ML/MLOps

DSA and software engineering

Problem solving

Tools

SQLAlchemy

Alembic

AWS SageMaker

Hugging Face

Job description

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.