Blockchain Developer for Fintech Co

Role Overview:

A Generative AI Engineer specializes in designing, developing, and managing AI systems capable of autonomously generating content such as text, images, and music. These engineers leverage deep learning and machine learning techniques to train AI models on large datasets, enabling the creation of new, original content that mimics human-like creativity.

Key Responsibilities:

• Design and Develop AI Models: Create and optimize generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
• Natural Language Processing (NLP): Work extensively with NLP to create and refine models that understand and generate human language
• Data Management: Manage and integrate large datasets to train generative AI models, including data pre-processing and augmentation
• Prototype New Applications: Lead the ideation and prototyping of new AI applications and systems
• System Architecture: Design and implement the architecture for AI systems to ensure scalability and efficiency.

Key Skills:

• Programming: Advanced knowledge of programming languages such as Python, and proficiency with AI-centric libraries like TensorFlow, PyTorch, and Keras.
• Generative Models: Expertise in developing and optimizing GANs, VAEs, and other generative models.
• NLP Techniques: Familiarity with text parsing, sentiment analysis, and transformer models like GPT.
• Data Handling: Strong skills in data pre-processing, augmentation, and synthetic data generation.
• Problem-Solving: Ability to tackle complex, creative challenges using AI.
• Preferred Qualifications:
• Education: Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
• Experience: Proven experience in developing and deploying generative AI models.
• Soft Skills: Creativity, strong analytical skills, and the ability to work collaboratively in a team environment.

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Location: Hybrid/ Remote

Openings: 2

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or related field

Job Responsibilities

Problem Solving & Optimization:

• Analyze and resolve complex technical and application issues.
• Optimize application performance, scalability, and reliability.

Design & Develop:

• Build, test, and deploy scalable full-stack applications with high performance and security.
• Develop clean, reusable, and maintainable code for both frontend and backend.

AI Integration (Preferred):

• Collaborate with the team to integrate AI/ML models into applications where applicable.
• Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.

Technical Leadership & Mentorship:

• Provide guidance, mentorship, and code reviews for junior developers.
• Foster a culture of technical excellence and knowledge sharing.

Agile & Delivery Management:

• Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Define and scope backlog items, track progress, and ensure timely delivery.

Collaboration:

• Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions.
• Coordinate with geographically distributed teams.

Quality Assurance & Security:

• Conduct peer reviews of designs and code to ensure best practices.
• Implement security measures and ensure compliance with industry standards.

Innovation & Continuous Improvement:

• Identify areas for improvement in the software development lifecycle.
• Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks.

Required Skills

• Strong proficiency in JavaScript, HTML5, CSS3
• Hands-on expertise with frontend frameworks like React, Angular, or Vue.js
• Backend development experience with Java, Spring Boot (Node.js is a plus)
• Knowledge of REST APIs, microservices, and scalable architectures
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with Agile/Scrum methodologies and JIRA for project tracking
• Proficiency in Git and version control best practices
• Strong debugging, performance optimization, and problem-solving skills
• Ability to analyze customer requirements and translate them into technical specifications

About Us:

We are an innovative tech company focusing on cutting-edge AI projects. Our mission is to create impactful AI solutions that transform industries and enhance user experiences. We are looking for a skilled Python Developer to join our dynamic team and contribute to the development of AI-powered applications.

Responsibilities:

Develop, test, and deploy scalable AI and machine learning models using Python.

Collaborate with data scientists and AI engineers to integrate models into production systems.

Write efficient, reusable, and scalable code for AI applications and pipelines.

Optimize existing Python codebases for performance and scalability.

Design and implement APIs and microservices to support AI-driven features.

Debug and resolve issues in AI systems and pipelines.

Stay updated with the latest advancements in AI and Python development trends.

Job Title: Node.js / AI Engineer

Department: Technology

Location: Remote

Company: Mercer Talent Enterprise

Company Overview:Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.

Position Overview:We are looking for a skilled Node.js / AI Engineer to join our Lighthouse Tech Team. This role is focused on application development, where you will be responsible for designing, developing, and deploying intelligent, AI-powered applications. You will leverage your expertise in Node.js and modern AI technologies to build sophisticated systems that feature Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) pipelines.

Key Responsibilities:

• Develop and maintain robust and scalable backend services and APIs using Node.js.
• Design, build, and integrate AI-powered features into our core applications.
• Implement and optimize Retrieval-Augmented Generation (RAG) systems to ensure accurate and context-aware responses.
• Develop and orchestrate autonomous AI agents to automate complex tasks and workflows.
• Work with third-party LLM APIs (like OpenAI, Anthropic, etc.) and open-source models, fine-tuning and adapting them for specific use cases.
• Collaborate with product managers and developers to define application requirements and deliver high-quality, AI-driven solutions.
• Ensure the performance, quality, and responsiveness of AI-powered applications.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of professional experience in backend application development with a strong focus on Node.js.
• 2+ years of hands-on experience in AI-related development, including building applications that integrate with Large Language Models (LLMs).
• Demonstrable experience developing AI agents and implementing RAG patterns.
• Familiarity with AI/ML frameworks and libraries relevant to application development (e.g., LangChain, LlamaIndex).
• Experience with vector databases (e.g., Pinecone, Chroma, Weaviate) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Benefits:

• Competitive salary and performance-based bonuses.
• Professional development opportunities.

Astra Technologies Inc is a US-based startup with a wholly-owned subsidiary in Chennai, India. We are building cryptocurrency trading infrastructure for financial institutions and other businesses. We are seeking candidates with the following skills:

1.   Strong software engineering skills

2.   Proficiency in the Rust programming language

3.   Familiarity with blockchain technology

4.   Excellent communication skills.

We are seeking candidates with varying levels of experience, from developers to senior developers and architects. The company will provide a joining bonus for candidates who join within two weeks of receiving it.

The selected candidates will have the following job responsibilities:

• Build unified API for crypto trading
• Develop products, applications and systems that meet client requirements and are scalable, maintainable, and robust.
• Work with other members of the development team to identify and resolve technical issues.
• Participate in design and code reviews to ensure that best practices are followed.
• Collaborate with other departments, such as marketing and quality assurance, to ensure that our products meet the needs of our customers.
• Stay up-to-date with emerging technologies and industry trends to ensure that our products remain competitive in the marketplace.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.