Remote Agentic ai engineer (aws tech stack) Jobs – 7 Open Jobs Today

Agentic AI Engineer (AWS Tech Stack)
ZoftSolutions Pvt Ltd —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
- Health insurance
- Paid time off
Quick apply
Conversational AI Tech Lead
Foundever —Remote
- Remote
- Azure
- Computer Science
- English
3h
AI & Data Engineer
Anovia —Remote
- ₹24,00,000 - ₹28,00,000 a year
- Remote
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
12d
Langchain Deployment AI Engineer ( LangGraph, LangSmith, Fleet, DeepAgents, Traces, Evaluations)
Nexaminds —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
- Flexible schedule
Quick apply
10d
Technical Lead / Engineering Manager, Full Stack - Gen AI (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Data analysis skills
Azure Architect (with ReactJS. .NET & AI Tool Exp)
3Pillar —Remote
- Full-time
- Remote
- Azure
- DevOps
- AWS
Software Engineer IV
Avalara —Remote
- Remote
- Computer Science
- DevOps
- Java
- Health insurance
- Paid time off

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Agentic AI Engineer (AWS Tech Stack)

ZoftSolutions Pvt Ltd
Remote

Quick apply

Job details

Permanent | Full-time

Benefits

Provident Fund
Health insurance
Paid time off
Work from home
Flexible schedule
Paid sick time

Qualifications

BCS
Law
Computer Science
Master's degree
AWS
Analysis skills
Bachelor's degree
Machine learning
REST
APIs
S3
JSON
AI
TypeScript
Python

Full job description

Key Responsibilities

Design and implement agentic AI workflows for clinical source verification, discrepancy detection, intelligent query generation, and related healthcare use cases.
Build, integrate, and deploy LLM-powered AI agents using AWS Bedrock and Amazon SageMaker.
Develop AI workflows using open-source frameworks such as LangChain, LlamaIndex, and AutoGen.
Design and implement event-driven AI pipelines using AWS Lambda, Step Functions, and EventBridge.
Develop and optimize prompt engineering, Retrieval-Augmented Generation (RAG), tool/function calling, and multi-agent workflows.
Integrate AI agents with internal and external applications through secure APIs and service integrations.
Collaborate with data engineers to design and implement secure PHI/PII-aware data ingestion and processing pipelines.
Build mechanisms for evaluating and improving AI outputs, including accuracy, reliability, latency, and cost optimization.
Monitor, test, debug, and fine-tune AI workflows and agent behavior in development and production environments.
Apply appropriate security, privacy, and compliance practices when working with sensitive healthcare data.
Stay current with emerging developments in Generative AI, LLMs, Agentic AI, and AWS AI/ML services, and evaluate their applicability to business use cases.
Collaborate with software engineers, data engineers, and other stakeholders to translate business and clinical requirements into scalable AI solutions.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field.
3–6 years of professional experience in AI/ML engineering, with hands-on experience developing and deploying AI/ML solutions.
Strong hands-on experience with Generative AI, LLMs, and Agentic AI.
Mandatory hands-on experience with AWS Bedrock and Amazon SageMaker.
Strong programming skills in Python and/or TypeScript.
Hands-on experience with one or more LLM/agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen.
Practical experience with RAG, prompt engineering, embeddings, vector databases, tool/function calling, and multi-agent architectures.
Experience developing and integrating REST APIs and AI services with external systems.
Experience with AWS services such as Lambda, Step Functions, EventBridge, S3, and related cloud services.
Understanding of event-driven and serverless architectures.
Experience testing, evaluating, monitoring, and optimizing AI/ML workflows for accuracy, latency, reliability, and cost.
Strong problem-solving and analytical skills, with the ability to experiment, evaluate results, and iterate quickly.

Preferred Qualifications

Experience developing AI solutions for Healthcare or Life Sciences.
Familiarity with healthcare data standards, clinical workflows, or healthcare interoperability.
Experience working with PHI/PII and sensitive data, including secure data handling and privacy controls.
Familiarity with healthcare and AI-related regulatory and compliance requirements.

Job Types: Full-time, Permanent

Benefits:

Flexible schedule
Health insurance
Paid sick time
Paid time off
Provident Fund
Work from home

Application Question(s):

Which AWS services have you had hands-on experience with?
How many years of hands-on experience do you have with AWS AI services ?

Work Location: Remote

Quick apply

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agentic ai engineer (aws tech stack) jobs in remote

Agentic AI Engineer (AWS Tech Stack)

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Langchain Deployment AI Engineer ( LangGraph, LangSmith, Fleet, DeepAgents, Traces, Evaluations)

Technical Lead / Engineering Manager, Full Stack - Gen AI (India)

Azure Architect (with ReactJS. .NET & AI Tool Exp)

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