GenAI Engineer - AWS

General information

Job details

Domain

Research, design and development

Job field / Job profile

Software - Software for product information systems

Job title

GenAI Engineer - AWS

Employment type

Permanent

Part time / Full time

Full-time

Job description

We are seeking a experienced Generative AI engineer to lead the design and development of an AI platform that leverages Large Language Models (LLMs) and other cutting-edge AI technologies. In this role, your core responsibilities are
• Architect and build GenAI-powered applications using LLMs and advanced RAG pipelines for technical documentation, maintenance, and support workflows.
• Design and implement retrieval-augmented generation (RAG) systems leveraging vector databases and semantic search for contextual information retrieval.
• Integrate and fine-tune LLMs (OpenAI, Anthropic, Amazon Bedrock, HuggingFace, etc.) for domain-specific tasks and continuous improvement.
• Develop robust evaluation frameworks for LLM output (relevancy, faithfulness, summarization, contextual accuracy).
• Build and deploy microservices and APIs for GenAI solutions, ensuring high availability, scalability, and secure access.
• Collaborate with product, domain, and platform teams to refine requirements and deliver innovative GenAI solutions.
• Stay current with GenAI trends, frameworks, and best practices to future-proof solutions for evolving enterprise needs.

Candidate skills & requirements

Required Technical Skills
• GenAI & LLMs: OpenAI, Anthropic, Amazon Bedrock, HuggingFace Transformers, LangChain, RAG architectures, prompt engineering, fine-tuning.
• Vector Databases & Semantic Search: Pinecone, FAISS, Milvus, Weaviate, Elasticsearch/OpenSearch with vector support.
• GenAI Evaluation & Monitoring: G-Eval, Prometheus, QAG scorer, MLflow, DataDog, CloudWatch, custom LLM-as-a-judge frameworks.
• API & Microservices: RESTful API design, GraphQL, FastAPI, Flask, OAuth2/JWT, containerization (Docker, Kubernetes).
• Security & Compliance: IAM, KMS, VPC endpoints, S3 Object Lock, CloudTrail, encryption policies, GDPR/industry compliance.
• DevOps for GenAI: CI/CD pipelines (GitHub Actions, CodePipeline), Terraform, AWS CDK, CloudFormation for automated deployment and scaling of GenAI services.
• Data Modeling for GenAI: Metadata tagging, schema design, data quality management for LLM training and inference.
• Multi-modal Retrieval: Experience with text, images, video, telemetry for comprehensive GenAI solutions.
Preferred Experience
• Building enterprise-grade RAG systems for technical documentation, support, or maintenance workflows.
• Implementing multi-modal retrieval in large-scale environments.
• Familiarity with continuous evaluation and improvement of LLMs in production (A/B testing, feedback loops).
• Exposure to regulated industries (aviation, manufacturing, healthcare) with strict compliance and audit requirements.
• Working with multi-cloud architectures (AWS, Azure, GCP) and hybrid deployments.
• Advanced knowledge of MLOps: model deployment, monitoring, rollback, and lifecycle management.

Job location

Job location

Asia, India

City (-ies)

Applicant criteria

Minimum education level achieved

Bachelor's Degree

Minimum experience level required

More than 5 years