Amarnath Maharashtra Full stack ai engineer Jobs – 19 Open Jobs Today

Full Stack AI and Data Engineer - AWS
Dimensionless Technologies —Vashi, Navi Mumbai, Maharashtra
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Salesforce
- Master's degree
- AWS
- Paid time off
- Flexible schedule
Quick apply
6d
Technical Lead – JavaScript Full Stack Developer
T7E —Mulund, Mumbai, Maharashtra
- Computer Science
- Engineering
- Bachelor's degree
Staff AI Engineer
Teradata —Airoli, Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Artificial Intelligence Developer
Crypto Mize —Dive, Maharashtra
- Full-time
- AWS
- Machine learning
- APIs
7d
Engineer-Full Stack
FutureBridge —Navi Mumbai, Maharashtra
- Full-time
- Databases
- Bachelor's degree
- Scripting
Full Stack AI Engineer
Capgemini —Navi Mumbai, Maharashtra
- Java
- Databases
- SQL
Senior Software Engineer - Full Stack
IRIS Business Services Ltd —Navi Mumbai, Maharashtra
- Engineering
- Master's degree
- Databases
Quick apply
Full Stack AI Engineer
Capgemini Sogeti —Navi Mumbai, Maharashtra
- Java
- Databases
- SQL
Tech Lead
UNFYD —Thane, Maharashtra
- ₹1,00,000 - ₹18,00,000 a year
- Full-time
- Azure
- Management
- Computer Science
- Health insurance
Quick apply
UI/UX Designer
Sellergize —Kalyan, Maharashtra
- Full-time
- AI
- Communication skills
- HTML
Lead Software Engineer, Platform Services (Back-end Focus) 807
Protegrity —Navi Mumbai, Maharashtra
- Full-time
- Azure
- Software troubleshooting
- DevOps
AI Platform Tech Lead
Sovos Compliance —Navi Mumbai, Maharashtra
- Java
- Master's degree
- JavaScript
- Health insurance
Quick apply
Senior Software Engineer – Integrations & API Connectivity
Mastercard —Navi Mumbai, Maharashtra
- Full-time
- Azure
- Software troubleshooting
- Java
4d
Senior Software Engineer
Mastercard —Navi Mumbai, Maharashtra
- Full-time
- Azure
- Software troubleshooting
- Java
Platform Engineer
Teradata —Airoli, Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- DevOps
- Laboratory experience
Quick apply
Senior Full Stack Engineer – Cloud & AI Applications
Husqvarna —Navi Mumbai, Maharashtra
- Full-time
- AI
Artificial Intelligence Manager
Crypto Mize —Dive, Maharashtra
- Full-time
- Machine learning
- AI
- Leadership
7d
Sr Software Developer
Weatherford —Navi Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- AWS
Solutions Architect
WebMD —Navi Mumbai, Maharashtra
- Full-time
- Mentoring
- APIs
- AI
Quick apply

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Full Stack AI and Data Engineer - AWS

Dimensionless Technologies
Vashi, Navi Mumbai, Maharashtra

Quick apply

Job details

Permanent | Full-time
₹20,00,000 - ₹30,00,000 a year
6 days ago

Benefits

Paid time off
Flexible schedule
Paid sick time

Qualifications

CI/CD
Law
React
Software deployment
Enterprise Software
SAP
Salesforce
Git
Master's degree
Microservices
AWS
Docker
JavaScript
Terraform
Continuous integration
Back-end development
REST
APIs
ETL
ServiceNow
S3
JSON
DynamoDB
AI
Python

Full job description

Role Overview:

We are looking for a hands-on Full Stack AI & Data Engineer to build production-grade data pipelines, AI agents, and backend services on AWS using a modern pro-code engineering approach.

The ideal candidate should have strong Python and AWS experience, with hands-on exposure to PySpark, AWS Glue, Step Functions, S3, Athena, Amazon Bedrock, AgentCore and Strands, along with the ability to build backend APIs and microservices.

This role is suited for an engineer who enjoys working across Data + AI + Backend stack and can take a solution from design and development through deployment and productionization.

Key Responsibilities:

1. Data Engineering & AWS Pipelines

Design and develop scalable data pipelines for ingesting data from REST APIs, databases, files and other enterprise data sources.
Build data ingestion and transformation workflows using Python, PySpark and AWS Glue.
Orchestrate pipelines using AWS Step Functions and other appropriate AWS services.
Design S3-based data layers for raw, processed and curated data.
Create and maintain Athena/Glue Catalog layers for querying and downstream consumption.

2. Backend & API Development

Design and develop Python-based backend services and REST APIs
Build microservices that can be consumed by AI agents and front-end applications.
Develop integrations with enterprise systems and third-party APIs.
Implement authentication, validation, error handling, logging and monitoring.
Containerize and deploy backend services using appropriate AWS/cloud technologies.

3. AI Agent Development

Design and build AI agents using Amazon Bedrock, AgentCore and Strands.
Develop agents capable of interacting with enterprise data, APIs and backend services.
Implement agent tools/function calling, workflows, context/state management and RAG where appropriate.
Integrate LLMs with enterprise applications and data sources.
Apply appropriate practices for prompt management, evaluation, security, observability and cost optimization.
Develop reusable agent frameworks and components that can support multiple enterprise AI use cases.

4. Pro-Code Engineering & DevOps

Develop solutions using clean, modular, reusable and testable code.
Use Git and CI/CD practices for source control, code reviews and deployments.
Follow configuration-driven development using YAML/JSON and environment-specific configuration.
Have a good understanding of Infrastructure as Code (IaC) and cloud deployment practices.
Terraform experience is preferred, particularly for provisioning and managing AWS infrastructure, but deep Terraform expertise is not mandatory.
Follow enterprise standards around security, secrets management, logging, monitoring and access control.

Required Skills & Qualifications:

Must Have:

Strong hands-on Python development experience.
Strong AWS development experience.
Hands-on experience building data pipelines / ETL processes.
Experience with PySpark and preferably AWS Glue.
Experience with S3 and Athena or equivalent cloud data-lake technologies.
Experience with workflow orchestration such as AWS Step Functions.
Experience developing REST APIs and backend services
Hands-on experience developing LLM/GenAI applications or AI agents.
Experience with Amazon Bedrock.
Exposure to AgentCore and/or Strands is highly desirable.
Strong understanding of Git, software engineering practices and CI/CD.

Good to Have:

Terraform / Infrastructure as Code.
Docker and containerized application deployment.
RAG, vector databases and embeddings.
LLM/AI evaluation and observability.
AWS Lambda, API Gateway, EventBridge or DynamoDB.
React/Next.js or experience integrating backend APIs with front-end applications.
Experience integrating enterprise systems such as Salesforce, SAP, ServiceNow, etc.
Experience with LangChain, LangGraph or similar agent frameworks.

Experience:

5+ years of overall software/data engineering experience, with meaningful hands-on experience in AWS, Python and modern data/AI engineering.
Candidates with strong hands-on experience in AWS + Python + Data Engineering + GenAI/Agentic AI will be preferred over candidates with extensive experience in only one of these areas

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Benefits:

Flexible schedule
Paid sick time
Paid time off

Work Location: In person

Quick apply

Refine Your Search

full stack ai engineer jobs in amarnath maharashtra

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