Senior Associate, AWS Gen AI Engineer

Job not on LinkedIn

🔥 19 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Elfonze Technologies

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Elfonze Technologies is a technology services and solutions company that builds and manages enterprise IT systems, specializing in Oracle ERP, supply chain and logistics platforms, and cloud-native infrastructure (IaaS/PaaS). The company provides digital transformation, enterprise applications, master data management, AI-enabled platforms, and niche supply chain planning products and services for B2B customers, along with advisory and build-operate-transfer engagements.

📋 Description

• Design and develop generative AI applications using Amazon Bedrock, Bedrock AgentCore, and foundation models • Build and optimize RAG pipelines using Bedrock Knowledge Bases with agentic retrieval, smart parsing, and multi-modal content support • Develop custom ML models using SageMaker, including training, fine-tuning, and deployment via JumpStart and HyperPod • Implement prompt engineering, optimization, and fine-tuning workflows, leveraging Intelligent Prompt Routing for cost optimization • Configure and manage Bedrock Guardrails for content safety, PII filtering, and hallucination mitigation with Automated Reasoning checks • Design data ingestion pipelines connecting enterprise sources to Knowledge Bases • Conduct model evaluation, benchmarking, and A/B testing across foundation models • Integrate GenAI capabilities into production applications using LangChain, LlamaIndex, and Strands Agents • Provide technical guidance to associates on AI/ML best practices

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, AI/ML, or related field • 5+ years of experience in software engineering or ML engineering • 3+ years of hands-on experience with AWS AI/ML services • Strong proficiency in building GenAI applications using Amazon Bedrock and foundation models • Hands-on experience with SageMaker for model training, fine-tuning, and deployment (JumpStart, HyperPod) • Experience building RAG pipelines with Bedrock Knowledge Bases and vector stores (OpenSearch Serverless, Pinecone, or similar) • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) • Experience with orchestration frameworks (LangChain, LlamaIndex, CrewAI, or Strands Agents) • Experience with prompt engineering, optimization, and evaluation techniques • Understanding of LLM architectures, tokenization, and inference optimization • Experience configuring Bedrock Guardrails for content safety and compliance • Knowledge of data engineering for AI/ML (ETL, data preprocessing, feature engineering) • Strong communication skills and ability to articulate technical decisions

🏖️ Benefits

• Remote work arrangement