REMOTEFULLTIME
Lead AI Engineer
Exavalu
Remote · remote · Posted 41d ago
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Undisclosed10–15 yrsfulltimeRemote
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Section · 01
About this role
Job_Description":"
This is a remote position.
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 multimodal 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)
RequirementsQualifications:
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)
BenefitsDiversity Inclusion:
Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.
- Experience with vector databases (Pinecone, Weaviate, etc.)
- 10+ years in software, data engineering, 5 years AI/ML engineering
- Experience with vector databases (Pinecone, Weaviate, etc.)
- 10+ years in software, data engineering, 5 years AI/ML engineering
- Implement guardrails for LLM-based systems (grounding, validation, safety)
- Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services
- Implement CI/CD for AI/ML workflows
- Build ingestion for multimodal content and transformation pipelines for structured and unstructured data
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualityAws GlueAws LambdaDockerKubernetesBedrockDistributed Systemsapisenterprise systemsaws bedrockamazon web servicesai engineerLarge Language Models (LLMs)Data EngineeringHealthcarecompliancefinanceData PipelineArtificial IntelligenceMachine Learning
Section · Company
About Exavalu
Exavalu
Management Consulting
145
employees
2018
8 years old
Kolkata, West Bengal
India
₹13.8L PA avg
Avg at Exavalu
About
Exavalu specializes in digital transformation and solutions for insurance, finance, banking, and healthcare industries, facilitating complex change initiatives.
Industries
Management Consulting
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