AI/ML Solution Engineer

AI/ML Solution Engineer

Location: Gurgaon
Work Model: Hybrid – 3 days from office
Shift: Second Shift – 2:30 PM to 10:30 PM
Experience: 3–5 Years Only

Role Overview

We are looking for an experienced AI/ML Solution Engineer with 3–5 years of hands-on experience in AI/ML, Generative AI, AWS, Python, LLMs, RAG, and AI agent-based solutions.

The ideal candidate should have strong practical experience in building and delivering AI/GenAI solutions, with a good understanding of Machine Learning concepts, model evaluation, AI Evals, observability, and responsible AI.

Python is mandatory. Familiarity with Java is preferred.

Key Responsibilities

• Design, develop, deploy, and maintain cloud-native applications and services on AWS.
• Build and integrate Generative AI solutions using Amazon Bedrock, Amazon SageMaker, and Bedrock AgentCore.
• Develop AI agents and multi-agent workflows using Bedrock Agents, AgentCore, AWS Strands SDK, LangChain, LangGraph, or similar frameworks.
• Build AI-powered applications using LLMs, RAG architectures, and agent-based solutions.
• Develop scalable and resilient event-driven solutions using EventBridge, SQS, SNS, Lambda, and Step Functions.
• Design and develop REST APIs, microservices, and serverless applications following AWS best practices.
• Implement data storage and retrieval solutions using RDS, Aurora, DynamoDB, and S3.
• Partner with architects and engineering teams to translate business requirements into technical solutions.
• Contribute to system design, architecture reviews, and technical discussions.
• Troubleshoot production issues and optimize application performance, reliability, scalability, and cost.
• Develop infrastructure automation and CI/CD pipelines using Infrastructure as Code principles.
• Implement AI observability to monitor model performance, prompt effectiveness, response quality, latency, usage patterns, and application health.
• Develop and execute AI Evaluation (AI Evals) frameworks to assess:
• Model accuracy
• Relevance
• Groundedness
• Safety
• Response quality
• Overall GenAI/agent effectiveness
• Establish monitoring, logging, tracing, and evaluation mechanisms to identify hallucinations, drift, performance issues, and reliability concerns.
• Implement AI guardrails, content safety controls, auditability, and risk management processes.
• Follow enterprise AI governance, data privacy, security, compliance, and responsible AI practices.

Mandatory Skills

• 3–5 years of relevant experience in AI/ML / GenAI solution engineering
• Strong hands-on Python development – Mandatory
• Hands-on experience delivering AI/Generative AI solutions
• Strong understanding of Machine Learning concepts
• Practical knowledge of AI Model Evaluation / AI Evals – Mandatory
• Experience with LLMs, RAG, prompt engineering, and AI agents
• Hands-on experience with AWS AI/ML services, preferably Bedrock and SageMaker
• Experience with Bedrock AgentCore / AI agent frameworks
• Knowledge of LangChain, LangGraph, AWS Strands SDK, or similar frameworks
• Understanding of cloud-native architecture and distributed systems
• Experience with REST APIs, microservices, and serverless architecture
• Understanding of event-driven architecture
• Strong system design and problem-solving skills

Preferred Skills

• Familiarity with Java
• AWS services such as Lambda, S3, SQS, SNS, EventBridge, Step Functions, DynamoDB, RDS, and Aurora
• CI/CD and Infrastructure as Code
• AI observability and monitoring
• AI guardrails and responsible AI
• Experience with production-grade GenAI applications

AI Rating Requirement

Pay: ₹500,719.15 - ₹1,802,472.51 per year

Benefits:

• Provident Fund

Application Question(s):

• How many years of hands-on experience do you have in AI/ML and Generative AI?
• How many years of hands-on Python development experience do you have?
• Which AWS AI/ML services have you worked hands-on with?
• Do you have hands-on experience building LLM-based applications using RAG?
• Are you comfortable working in the 2:30 PM – 10:30 PM shift?

Work Location: Hybrid remote in Gurugram, Delhi