
finhence is hiring for the role of back-end web developement intern.
duration- 4 months
skills required - node.js, API , PHP etc
experience- freshers/ undergraduates can apply

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Technical Evaluation Engineer
Experience: 8+ years (3+ in leadership)
Location: [Add location]
Description:
We’re looking for a Head of Technical Recruiting with a strong understanding of software development to lead and scale our tech hiring. You will partner with engineering leadership to define hiring needs, build efficient interview processes, and deliver high-quality hires across backend, frontend, data, platform, and product engineering roles.
Key Responsibilities:
Lead end-to-end technical hiring strategy
Partner with CTO/Engineering leaders on workforce planning
Manage and mentor technical recruiters
Design and improve technical interview processes
Drive senior and critical tech hires
Track and improve hiring metrics (time-to-hire, quality, funnel)
Requirements:
6+ years in recruiting, primarily technical hiring
3+ years leading recruiting teams
Strong understanding of software development and tech stacks
Experience hiring across engineering roles (BE/FE/FS/Data/DevOps, etc.)
Strong stakeholder management and communication skills
Nice to Have:
Engineering or technical background
Experience in fast-growing tech companies
Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
bout the Role
We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!
Key Responsibilities
• Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.
• Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.
• Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.
• Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.
• Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.
Required Skills
• Technical Skills:
o Proficiency in Python, including experience with key AI/ML libraries.
o Basic knowledge of UI and API development.
o Understanding of large language models (LLMs) and experience using them effectively.
• Analytical & Communication Skills:
o Strong problem-solving skills to address complex, ambiguous challenges.
o Ability to translate data insights into understandable reports for non-technical stakeholders.
o Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.
o Experience in statistical methods to interpret data and build metrics frameworks.
o Skilled in quantitative analysis to drive actionable insights.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 3-5 years of professional experience in web development with a strong focus on JavaScript stack technologies.
- Proven experience in integrating blockchain technology into web applications, with a deep understanding of blockchain protocols, smart contracts, and decentralized applications (dApps).
- Proficiency in multisignature, multiparty computation and 3rd party Node provider integration
- Experience with public blockchain platforms such as Bitcoin, Ethereum, etc.
- Solid understanding of RESTful APIs and web services.
- Strong problem-solving skills and the ability to troubleshoot complex issues.
- Excellent communication and collaboration skills.
- Ability to thrive in a fast-paced, agile environment and adapt to changing priorities.
- Experience with continuous integration and deployment (CI/CD) pipelines is a plus.
- Experience in setting up Bitcoin core, and Geth node is a plus
Roles and Responsibilities
1) Understand client requirements and functionalities.
2) Write well-designed, testable, efficient code.
3) Responsible for solving complex technical issues.
4) Ensure quality projects are delivered within defined timelines.
5) Active involvement in client communication to understand functional requirements.
6) Maintain high standards of quality for code, documentation and other deliverables.
At least 3 years' experience as a Node.js developer.
Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
Mandatory experience in MongoDB and MySql.
Knowledge of front-end technologies such as HTML5 and CSS3.
Superb interpersonal, communication, and collaboration skills.
Exceptional analytical and problem-solving aptitude.
Role- Node.js Developer
Job description:
- Nodejs), MySQL, Postgre SQL
- Working experience of GIT
- Will prefer candidates preferred who have knowledge of GraphQL, Typescript
- Well versed and experienced with unit testing, code coverage.
- Well versed with SOILD design principles and its application
- Good to have – some experience with Azure devops and/or azure functions.
- Good knowledge of designing and writing restful API














