AI/ML Engineer

dotSolved Systems Inc.; Chennai District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

dotSolved Systems Inc. is seeking an AI/ML Engineer to design end-to-end AI/ML solutions, including LLM-based applications, and to build RAG pipelines interfacing with enterprise data sources. The role focuses on data pipelines, responsible AI, and production deployment in a remote Chennai-based setup.

You will develop and operationalize AI capabilities across the organization, implement MLOps practices, and work with AWS services to scale models in production.

Qualifications

• 10+ years in software, 5 years AI/ML engineering.
• Hands-on experience building production AI/ML systems.
• Experience with RAG pipelines, LLMs, or NLP-based systems.
• Experience with AWS Bedrock or similar GenAI platforms.
• Experience with data pipelines and distributed systems.
• Experience deploying and operating systems in AWS.
• Working knowledge of MLOps practices (CI/CD, monitoring, versioning).

Responsibilities

• Design and implement end-to-end AI/ML solutions including LLM-based applications.
• Build RAG pipelines using vector databases and enterprise data sources.
• Build machine learning models that automate their training, validation, monitoring, and retraining.
• Develop APIs and services to operationalize AI capabilities across the organization.
• Build ingestion for multi-modal content and transformation pipelines for structured and unstructured data.
• Integrate AI workflows with enterprise systems (policy, claims, billing, etc.).
• Ensure data quality, traceability, reliability, and governance in all AI pipelines.
• Implement CI/CD for AI/ML workflows.
• Deploy, monitor, and maintain models in production.
• Manage model versioning, performance monitoring, and retraining processes.
• Develop solutions using AWS SageMaker, AWS Lambda, S3, Glue, EKS, and related services.
• Contribute to evolving use of AWS Bedrock.
• Apply guardrails for LLM-based systems (grounding, validation, safety).
• Ensure secure handling of sensitive data (PII, financial, etc.).
• Build systems aligned with enterprise governance and compliance standards.

Skills

10+ years software

5 years AI/ML

Production AI/ML

RAG pipelines

LLMs / NLP

AWS Bedrock

Data pipelines

Distributed systems

MLOps CI/CD

Model deployment

Tools

Docker

Kubernetes

Pinecone

Weaviate

Job description

Position: AI/ML Engineer

Location: Chennai - Remote
Shift Timing: 3.00PM - 12.00AM IST

Build AI Systems (Core Responsibility)

• Design and implement end-to-end AI/ML solutions including LLM-based applications
  


• Build RAG pipelines using vector databases and enterprise data sources
  


• Build machine learning models that automate their training, validation, monitoring, and retraining
  


• Develop APIs and services to operationalize AI capabilities across the organization
  

Develop Data + AI Pipelines

• Build ingestion for multi-modal content and transformation pipelines for structured and unstructured data
  


• Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)
  


• Ensure data quality, traceability, reliability, and governance in all AI pipelines
  

Operationalize Models (MLOps)

• Implement CI/CD for AI/ML workflows
  


• Deploy, monitor, and maintain models in production
  


• Manage model versioning, performance monitoring, and retraining processes
  

Build on AWS

• Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services
  


• Contribute to evolving use of AWS Bedrock
  

Apply Responsible AI Practices

• Implement guardrails for LLM-based systems (grounding, validation, safety)
  


• Ensure secure handling of sensitive data (PII, financial, etc.)
  


• Build systems aligned with enterprise governance and compliance standards
  

Qualifications:

Required

• 10+ years in software, data engineering, 5 years AI/ML engineering
  


• Hands-on experience building production AI/ML systems
  


• Experience with RAG pipelines, LLMs, or NLP-based systems
  


• Experience with AWS Bedrock or similar GenAI platforms
  


• Experience with data pipelines and distributed systems
  


• Experience deploying and operating systems in AWS
  


• Working knowledge of MLOps practices (CI/CD, monitoring, versioning)
  

Preferred

• Experience with vector databases (Pinecone, Weaviate, etc.)
  


• Experience in regulated industries (insurance, finance, healthcare)
  


• Exposure to microservices and containerized environments (Docker, Kubernetes)