Lead Artificial Engineer

JOB DESCRIPTION

Experience: 3-5 years

Location: Bangalore

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-5 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

We're looking for Node js developers with over 2+ years of experience and strong expertise in Javascript based development using Node js and Express. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing 

We would prefer candidates who can join immediately or are currently serving their notice period.

Key Skills Required : 

• Work as part of a team developing applications and services using Agile development methods
• Contribute to team and organizational improvements in process and infrastructure
• Build customer-facing UI and back-end services for payment processing administration and management
• Code, teste and operate node.js based services
• Effectively use tools and ingenuity to identify and fix defects before they become a problem

• • Previous working experience as a Node.js Developer for 2  years
  • BE /B.Tech in computer science or similar relevant field
  • In depth knowledge of Node.js
  • Hands on experience with HTML, CSS, and AJAX
  • Development experience designing object oriented JavaScript and SVG
  • Applicable knowledge of web libraries and frameworks such as AngularJS, Polymer, and Closure
  • Familiarity with the whole web stack, including protocols and web server optimization techniques
  • Strong analytical skills and problem solving aptitude
  • Attention to details

Job description

• Greet and welcome visitors, clients, and stakeholders professionally.
• Manage the front desk, including answering and redirecting calls.
• Schedule appointments and maintain the meeting calendar.
• Handle client inquiries in person and via phone or email.
• Coordinate with internal teams to provide necessary information to clients.
• Maintain a neat and organized reception area.
• Perform administrative duties such as data entry, filing, and document management.

Required skillset
Experience in backend and frontend tech stack and deployment is mandatory.
Excellent programming skills in Golang/Python/Java, JS/Dart/Swift and HTML/CSS.
Proficient in Web architecture and cloud integration concepts.
Experience with NoSQL database is preferred.
Good to have hands-on experience with GCP/AWS/Azure.
Qualification: Bachelors/Masters Computer Science or related domain.
Knowledge of DevOps tools and CI/CD practices are strong additions

Responsibilities
Help to architect Concepts/MVP with minimal supervision.
Work on the full spectrum of technology stack - backend & frontend.
Explore the feasibility of running video analytics on Edge (App/Browser)
Work with the Analytics team for creating various visualization options

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.