AI ML Engineer

dotSolved Systems Inc.; Chengalpattu; Remote; INR 3,000,000 - 6,000,000; Full time

Job summary

dotSolved Systems Inc. in Chennai is seeking an AI/ML Engineer to design and deploy end-to-end AI/ML solutions, including LLM-based apps and RAG pipelines across enterprise data sources.

You will build and operationalize models with CI/CD, monitor performance, manage retraining, and ensure data governance while integrating AI workflows with policy, billing, and other enterprise systems on AWS (SageMaker, Bedrock, Lambda, S3, Glue, EKS).

Qualifications

• 10+ years in software and data engineering with AI/ML engineering experience.
• Hands-on production AI/ML systems development and deployment.
• Experience with RAG pipelines, LLMs, or NLP-based systems.
• Experience with AWS Bedrock or similar GenAI platforms.
• Experience with data pipelines and distributed systems.
• Familiarity deploying and operating systems in AWS; MLOps practices.

Responsibilities

• Design and deploy end-to-end AI/ML solutions including LLM-based apps.
• Build RAG pipelines using vector databases and enterprise data sources.
• Develop ML models with training, validation, monitoring, and retraining.
• Develop APIs and services to operationalize AI across the organization.
• Operationalize data + AI pipelines and ingestion for multi-modal content.
• Integrate AI workflows with enterprise systems (policy, claims, billing).
• Ensure data quality, traceability, reliability, and governance in pipelines.
• Implement MLOps, CI/CD, and model versioning; deploy and monitor in production.
• Build solutions on AWS; leverage SageMaker, Lambda, S3, Glue, EKS; explore Bedrock.
• Contribute to governance, security, and compliant AI practices.

Skills

RAG pipelines

LLMs / NLP

MLOps practices

CI/CD

Monitoring

Model retraining

Tools

AWS Bedrock

SageMaker

AWS Lambda

S3

Glue

EKS

Docker

Kubernetes

Pinecone

Weaviate

Job description

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)