AI/ML Engineer

dotSolved Systems Inc.; Chennai District; Hybrid; INR 4,000,000 - 8,000,000; Full time

Job summary

dotSolved Systems Inc. is seeking an AI/ML Engineer to design and deploy end-to-end AI/ML systems from data pipelines to production models in Chennai. The role emphasizes building RAG pipelines, LLM-based applications and API services that scale across the organization.

You will work with AWS tools (Bedrock, SageMaker-like capabilities) and implement robust MLOps, governance, and security practices for sensitive data. Remote-friendly shifts in the Chennai time zone are expected.

Qualifications

• 10+ years in software and data engineering.
• Hands-on experience building production AI/ML systems.
• Experience with RAG pipelines, LLMs or NLP 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

• Build end-to-end AI/ML solutions including LLM-based apps.
• Build RAG pipelines using vector databases and enterprise data sources.
• Develop models with automated training, validation, monitoring and retraining.
• Develop APIs and services to operationalize AI capabilities.
• Build ingestion for multi-modal content and data transformation.
• Integrate AI workflows with enterprise systems (policy, claims, billing).
• Ensure data quality, traceability, reliability and governance in AI pipelines.
• Implement CI/CD for AI/ML workflows and maintain models in production.

Skills

Software engineering

Data engineering

AI/ML engineering

Production AI systems

RAG pipelines

LLMs

AWS Bedrock

MLOps

CI/CD

Security & governance

Tools

Pinecone

Weaviate

Docker

Kubernetes

AWS Bedrock

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)