Python Developer - AI Expert Job at AquSag Technologies (Noida)

AI Trainer - Advanced Python Developers

We’re looking for Python Developers to help train and evaluate cutting-edge AI m...

Location

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

Python developer skills and verifiable professional experience as a Python developer
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A willingness to self-declare your earnings, as our participants are self-employed
A Paypal account to receive payment from our clients

Job Responsibility

Completing AI training tasks such as analyzing, editing, and writing Python
Judging the performance of AI in performing Python-related prompts
Improving cutting-edge AI models

What we offer

competitive pay rates
flexible hours
ability to work from home

AI Trainer - Advanced Python Developers

We’re looking for Python Developers to help train and evaluate cutting-edge AI m...

Location

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

Python developer skills and verifiable professional experience as a Python developer
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A willingness to self-declare your earnings, as our participants are self-employed
A Paypal account to receive payment from our clients

Job Responsibility

Completing AI training tasks such as analyzing, editing, and writing Python
Judging the performance of AI in performing Python-related prompts
Improving cutting-edge AI models

What we offer

Influence the AI models of the future
Competitive pay rates
Flexible hours
Ability to work from home

AI Implementation Engineer - Python Specialization

We are on a bold mission to create the best software services offering in the wo...

Location

United States , Menlo Park

Salary:

Not provided

techjays

Expiration Date

Until further notice

Requirements

Expert in Core Python with clean, modular, and maintainable code practices
Proficient in building RESTful APIs using Django Rest Framework (DRF)
Strong experience with relational databases like PostgreSQL/MySQL, including Django ORM and SQL optimization
Skilled in designing and implementing complex, large-scale features with solid architectural decisions
Solid grasp of OOP principles, data structures, and design patterns
Hands-on experience with Git, Linux/Unix commands, and effective debugging techniques
Experience integrating Large Language Models (LLMs) and AI/ML capabilities into applications
Familiarity with LangChain, LlamaIndex, and vector databases like FAISS, Pinecone, or Weaviate
Knowledge of Information Retrieval (IR), semantic search, and embedding models
Understanding of prompt engineering, tokenization, and LLM fine-tuning workflows (preferred)

Job Responsibility

Develop and maintain scalable Python services that implement AI-powered retrieval and generation workflows
Build and optimize vector-based retrieval pipelines using tools like FAISS, Pinecone, or Weaviate
Integrate LLMs via APIs (e.g., OpenAI, Hugging Face) using orchestration frameworks such as LangChain, LlamaIndex, etc.
Collaborate on system architecture, API design, and data flow to support RAG systems
Monitor, test, and improve the performance and accuracy of AI features in production
Work in cross-functional teams with product, data, and ML stakeholders to deploy AI solutions quickly and responsibly

What we offer

Best in class packages
Paid holidays and flexible paid time away
Casual dress code & flexible working environment
Medical Insurance covering self & family up to 4 lakhs per person

Data Solutions & AI expert

As a Data Solutions & AI Expert, you will play a strategic and hands-on role in ...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

more than 3 years in a similar role
Master in Data analytics & Management
Master in Data Science
Proven experience in data engineering, analytics, or data product development
Familiarity with Collibra for metadata, lineage, and data governance
Solid understanding of data architecture, security standards, and development best practices
Experience in AI/ML solution development is a strong plus
Strong expertise in Azure Microsoft Data Platform (Azure Synapse Analytics, Fabric, Spark, pipeline, Python, Power BI, …)
Expertise in and AI/ML solutions and algorithms
Expertise in Collibra data governance platform

Job Responsibility

Design end-to-end data solutions aligned with business needs and technical standards
Develop and maintain data pipelines using Azure Microsoft Data Platform
Ensure integration with reporting tools such as Power BI
Propose and develop innovative data and AI solutions to enhance business value
Stay up to date with emerging technologies and trends in data engineering and analytics
Collaborate with business stakeholders to collect and analyse data requirements
Translate functional needs into technical specifications and actionable data products
Lead and contribute to data-related projects from conception to deployment
Ensure timely delivery, quality control, and alignment with group-level standards
Monitor day-to-day data operations and proactively resolve data issues

AI Technical Lead

Senior technical expert responsible for architectural decisions, technical direc...

Location

India , Chennai

Salary:

Not provided

Hogarth

Expiration Date

Until further notice

Requirements

Expert Python (5+ years)
TypeScript (3+ years)
Go (2+ years)
LangChain/LangGraph, CrewAI, AutoGen mastery
Microservices and distributed systems
AWS Bedrock, GCP Vertex AI, Azure AI Services
Vector databases (Pinecone, Weaviate, Chroma)
Kubernetes, Docker, CI/CD pipelines
Security implementation and performance optimization
8-12 years software development

Job Responsibility

Design technical architecture for multi-agent systems
Lead technical decision-making and code reviews
Mentor junior developers on agentic design patterns
Ensure system scalability, security, and performance
Implement fault-tolerant autonomous systems
Design agent communication protocols
Establish testing frameworks for non-deterministic systems

What we offer

relocation benefits

Fulltime

Data Science Architect

Location

India , Hyderabad

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Expert-level understanding of Retrieval Augmented Generation (RAG)
Expert-level understanding of GraphRAG methodologies
Expert-level understanding of LoRA (Low-Rank Adaptation) techniques
Expert-level understanding of Vector Database architectures
Expert-level understanding of Agentic AI design principles
Comprehensive expertise in AWS Bedrock
Comprehensive expertise in Amazon SageMaker
Comprehensive expertise in AWS AI/ML services ecosystem
Comprehensive expertise in Cloud-native AI solution design
Advanced Python programming for AI/ML applications

Job Responsibility

Design and architect complex Generative AI solutions using AWS technologies
Develop advanced AI architectures incorporating state-of-the-art GenAI technologies
Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions
Architect scalable AI systems using AWS Bedrock and SageMaker
Design and implement agentic AI systems with advanced reasoning capabilities
Develop custom AI solutions leveraging vector databases and advanced machine learning techniques
Evaluate and integrate emerging GenAI technologies and methodologies

What we offer

Opportunity to work with a passionate and innovative team
Exposure to cutting-edge technologies and product development practices
Career growth and learning opportunities in a dynamic work environment
Competitive salary and benefits package
Opportunity to work on technical challenges with global impact
Vast opportunities for self-development, including online university access and sponsored certifications
Sponsored Tech Talks & Hackathons to foster innovation and learning
Generous benefits package including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

India

Salary:

Not provided

Apollo.io

Expiration Date

Until further notice

Requirements

7+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Expert-level Python skills for production AI systems
Strong experience building scalable backend systems, APIs, and distributed architectures
Experience with LangChain, LlamaIndex, or other LLM application frameworks
Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins

Python Developer - AI Expert

AquSag Technologies

Location:
India , Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 29, 2026

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