Company Name: VARITE India Private Limited

About The Client:

Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.

About The Job:

- Shift: Second Shift – 2:30 PM to 10:30 PM
- Experience: 5-9 Years
- Must Have: Python, AWS, Generative AI, Machine Learning, AI Evaluation Frameworks, Cloud-native Development
- Familiarity with Java is preferred.
- ML experience is required, particularly around model evaluation concepts and AI quality assessment.

Essential Job Functions:

- Design, develop, deploy, and maintain cloud-native applications and services on AWS.
- Build and integrate Generative AI solutions leveraging AWS services such as 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 agent orchestration frameworks.
- Build AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agent-based solutions.
- Develop scalable and resilient solutions using event-driven architecture patterns, including EventBridge, SQS, SNS, Lambda, and Step Functions.
- Partner with architects and engineering teams to translate business requirements into technical solutions.
- Contribute to system design, architecture reviews, and technical discussions by providing implementation-focused recommendations and architectural input.
- Design and develop RESTful APIs, microservices, and serverless applications following AWS best practices.
- Implement data storage and retrieval solutions using Amazon RDS, Aurora, DynamoDB, and S3.
- Troubleshoot production issues and optimize application performance, reliability, scalability, and cost.
- Develop infrastructure automation and CI/CD pipelines using Infrastructure-as-Code principles.
- Implement and maintain AI observability capabilities to monitor model performance, prompt effectiveness, response quality, latency, usage patterns, and overall health of AI and agent-based applications.




- Develop and execute AI evaluation (AI Evals) frameworks to assess model accuracy, relevance, groundedness, safety, response quality, and overall effectiveness of Generative AI and agent-based solutions.
- Establish monitoring, logging, tracing, and evaluation mechanisms to proactively identify performance issues, hallucinations, drift, and reliability concerns in Generative AI solutions.
- Adhere to enterprise AI governance standards and policies, ensuring responsible AI practices, data privacy, security, compliance, and model lifecycle management.
- Implement AI guardrails, content safety controls, auditability, and risk management processes to ensure secure, compliant, and trustworthy AI solutions across the organization.

Qualifications:

Desired Skills & Competencies

- Strong understanding of cloud-native architecture principles and distributed systems.
- Proficiency in Python (mandatory); familiarity with Java preferred.
- Experience with Machine Learning concepts, particularly model evaluation, validation, and performance assessment.
- Experience building Generative AI applications using LLMs, RAG, and agentic AI architectures.
- Hands-on expertise with AWS services including Amazon Bedrock, SageMaker, Lambda, EventBridge, SQS, SNS, Step Functions, DynamoDB, Aurora, RDS, and S3.
- Experience with AI agent frameworks such as LangChain, LangGraph, Bedrock Agents, AgentCore, or similar technologies.
- Knowledge of REST APIs, microservices, and serverless application design.
- Experience with AI observability, monitoring, tracing, and evaluation frameworks.
- Strong understanding of AI governance, security, compliance, guardrails, and responsible AI practices.
- Experience implementing CI/CD pipelines and Infrastructure as Code.




- Ability to understand business problems and convert them into effective technical solutions.
- Strong system design and problem-solving skills with the ability to contribute to architecture and design discussions.
- Understanding of architectural patterns, scalability, resiliency, security, and performance considerations.
- Strong communication and collaboration skills with the ability to work across multiple teams and stakeholders.
- Demonstrated ownership, accountability, and continuous learning mindset.
- Ability to balance technical excellence with business outcomes and delivery priorities.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards:

Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a positive fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years INR 5,000

2-6 years INR 7,500

6+ years INR 10,000

About VARITE:

VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

📌 AI/ML Solution Engineer (Gurugram)
🏢 VARITE
📍 Gurugram