Platform Engineer

Responsibilities

Develop and maintain web and backend components using Python, Node.js, and Zoho tools

Design and implement custom workflows and automations in Zoho

Perform code reviews to maintain quality standards and best practices

Debug and resolve technical issues promptly

Collaborate with teams to gather and analyze requirements for effective solutions

Write clean, maintainable, and well-documented code

Manage and optimize databases to support changing business needs

Contribute individually while mentoring and supporting team members

Adapt quickly to a fast-paced environment and meet expectations within the first month

Leadership Opportunities

Lead and mentor junior developers in the team

Drive projects independently while collaborating with the broader team

Act as a technical liaison between the team and stakeholders to deliver effective solutions

Selection Process

1. HR Screening: Review of qualifications and experience

2. Online Technical Assessment: Test coding and problem-solving skills

3. Technical Interview: Assess expertise in web development, Python, Node.js, APIs, and Zoho

4. Leadership Evaluation: Evaluate team collaboration and leadership abilities

5. Management Interview: Discuss cultural fit and career opportunities

6. Offer Discussion: Finalize compensation and role specifics

Experience Required

5- 7 years of relevant experience as a Software Developer

Proven ability to work as a self-starter and contribute individually

Strong technical and interpersonal skills to support team members effectively

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Company: Kredit Venture

About the company:

KreditVenture is seeking a Technical Product Manager to lead the development, strategy, and

execution of our SaaS applications built on top of Loan Origination Systems and Lending Platforms.

This role requires a strong technical background, a product ownership mindset, and the ability to

drive execution through both in-house teams and outsourced vendors. The ideal candidate will play

a key role in aligning business goals with technical implementation, ensuring a scalable, secure,

and user-centric platform.

Job Description

Job Title: Senior Manager / AVP / DVP – Technical Product Manager

Location: Mumbai (Ghatkopar West)

Compensation: Upto 25 LPA

Experience: 7-8 years (Designation will be based on experience)

Qualification: 

- Bachelor’s degree in Computer Science, Engineering, or a related field.

- An MBA is a plus.

 Roles and Responsibilities

Technology Leadership:

• Lead SaaS Platform Development – Strong expertise in full-stack development (Java, Python, MERN stack) and cloud-based architectures.
• API & Workflow Design – Drive microservices-based REST API development and implement business process automation.
• Third-Party Integrations – Enable seamless API integrations with external service providers.
• Code Quality & Best Practices – Ensure code quality, security, and performance optimization through structured audits.

Vendor & Delivery Management:

• Outsourced Vendor Oversight – Manage and collaborate with external development partners, ensuring high-quality and timely delivery.
• Delivery Governance – Define SLAs, monitor vendor performance, and proactively escalate risks.
• Quality Assurance – Ensure vendor deliverables align with product standards and integrate smoothly with internal development.

Collaboration & Stakeholder Engagement:

• Customer Insights & Feedback – Conduct user research and feedback sessions to enhance platform capabilities.
• Product Demos & GTM Support – Showcase platform features to potential clients and support sales & business development initiatives.

Platform Development & Compliance:

• Component Libraries & Workflow Automation – Develop reusable UI components and enable no-code/low-code business workflows.
• Security & Compliance – Ensure adherence to data protection, authentication, and regulatory standards (e.g., GDPR, PCI-DSS).
• Performance Monitoring & Analytics – Define KPIs and drive continuous performance optimization.

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.

• Our health products’ engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Your Experience Across The Years in the Roles You’ve Played -
• 6 years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

•  You will ne Responsible for revamping of existing LMS Platform along with designing and developing new projects.
• Researching, designing, implementing and managing software programs
• Testing and evaluating new programs
• Identifying areas for modification in existing programs and subsequently developing these modifications
• Writing and implementing efficient code
• Determining operational practicality
• Developing quality assurance procedures
• Deploying software tools, processes and metrics
• Maintaining and upgrading existing systems
• Training users for new modules
• Hands on experience in LMS or CRM will be preferred
  • Good knowledge on MySQL, ES6, Node.js, SaaS, AWS, Bootstrap and Css3
•