Experience:
- Strong knowledge on Devsecops (hands on).
- Should have built B2C applications for average 2 billion transactions per annum.
- Built applications with multi tenancy, multi lingual and global deployment.
- 15+ years of experience of building successful production-quality software, with relevant experience from payment gateway for 5yrs.
- Expertise in large-scale multi-tiered systems.
- Expertise in Core Java and JEE, object-oriented design, analysis and design patterns
- Good exposure to JSON based REST services in Java.
- Excellent knowledge of RDBMS, SQL, NoSQL, Cache, Linux based systems
- Focus on clean high-quality code and solid designs.
- Hands on experience in HLD & LLD.
- Strong hands on knowledge on Devsecops.
- Should have built B2C applications for average 2 billion transactions per annum.
- Built applications with multi tenancy, multi lingual and global deployment.
- Any prior payment industry experience is highly preferable

About Wibmo
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Location: Bangalore
Experience: 3-5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most companies are using LLMs.
Very few are building an advantage from them.
Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.
This role exists to:
- Turn LLM usage into a cost-efficient system
- Build compounding intelligence across accounts
- Create a differentiated analysis layer that competitors can’t replicate
What you’ll do
You will not just build models.
You will own the intelligence and cost structure of the platform.
1. Drive down LLM cost dramatically
- Reduce cost per interaction from ₹40 → ₹2 within 6 months
- Implement:
- Model tiering (right model for the right task)
- Caching strategies (semantic + response caching)
- Batching and async processing
- PTU / reserved capacity optimization
- Ensure performance does not degrade while reducing cost
2. Optimize infrastructure spend
- Reduce cloud spend from ₹20L/month → ₹4L/month
- Work across infrastructure layers (Azure / compute / inference)
- Balance:
- Latency
- Cost
- Throughput
- Treat infra as a first-class optimization problem
3. Build the fine-tuning and learning pipeline
- Design systems where:
- Every interaction improves future performance
- Build pipelines for:
- Fine-tuning
- Feedback loops
- Continuous model improvement
- Ensure the 5th customer deployment is structurally better than the 1st
4. Create a differentiated intelligence layer
- Build analysis systems that:
- Extract signals from interactions
- Improve decision-making
- Drive outcome improvements
- Move beyond responses → insight + action
5. Enable new AI-native product categories
- Identify opportunities where:
- AI enables workflows that were not previously possible
- Build foundational ML capabilities to unlock those categories
- Focus on creation, not just efficiency
6. Commoditize LLM usage internally
- Abstract complexity of LLM usage from product teams
- Build internal systems where:
- Cost is predictable
- Performance is consistent
- Make LLM usage a reliable utility layer
What success looks like
- Cost per interaction drops to ₹2 or lower
- Infrastructure spend reduces 5x without performance loss
- Model performance improves with every deployment
- Platform develops a clear intelligence advantage
- New AI-native capabilities become possible due to your systems
Who you are
- You have 3-5 years of experience in ML / applied AI / systems engineering
- You have worked with:
- LLMs
- Inference optimization
- Production ML systems
- You think in:
- Systems
- Trade-offs (cost vs latency vs quality)
- You care about real-world impact, not just model metrics
What will make you stand out
- Experience with:
- LLM optimization (prompting, fine-tuning, distillation)
- Distributed systems or infra-level optimizations
- High-scale inference systems
- Built systems that:
- Reduced cost significantly
- Improved performance over time
- Strong understanding of:
- Caching strategies
- Model routing
- Evaluation frameworks
Why join
- You will directly impact company margins and scalability
- Your work defines whether we have a defensible ML advantage
- You will build systems that move from:
- Generic AI usage → compounding intelligence
What this role is not
- Not research-only
- Not experimentation without production impact
- Not isolated from product and business outcomes
What this role is
- A builder of ML systems at scale
- A driver of cost and performance optimization
- A creator of long-term competitive advantage
One question to self-evaluate
Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?
Looking an experienced and organized Project Manager to oversee end-to-end project execution, ensure timely delivery, and coordinate between teams, clients, and stakeholders. The role requires strong leadership, planning, and communication skills to successfully manage projects and achieve business objectives.
Key Responsibilities:
- Plan, execute, and deliver projects within scope, budget, and timelines.
- Define project objectives, deliverables, and resource requirements.
- Coordinate with cross-functional teams (sales, operations, documentation, counseling, etc.).
- Track project progress, prepare reports, and communicate updates to management and stakeholders.
- Identify project risks, issues, and bottlenecks; implement corrective actions.
- Ensure client requirements are clearly understood and met with quality standards.
- Manage project documentation, compliance, and reporting.
- Lead, mentor, and motivate team members to achieve performance goals.
- Optimize workflows and improve efficiency in project execution.
Requirements:
- Proven work experience as a Project Manager.
- Strong knowledge of project management tools, methodologies, and reporting.
- Excellent leadership, problem-solving, and organizational skills.
- Strong communication and stakeholder management abilities.
- Ability to handle multiple projects simultaneously and meet deadlines.
- Proficiency in MS Office, project management tools (e.g., Trello, Asana, MS Project, Jira).
• Hands-on experience in tasks automation experience via scripting
• Hands-on experience in implementing auto-scaling, ELBs, Lamdba functions, and other auto-scaling technologies
• Experience in vulnerability management and security.
• Ability to proactively and effectively communicate and influence stakeholders
• Experience in virtual, cross-functional teamwork
• Strong customer and service management focus and mindset
• Solid and technical hands-on experience with administrating public and private cloud systems (compute, storage, networks, security, hardware, software, etc)
• AWS Associate, Professional or Specialist certification
Business Development Representative (BDR)
Company Name: F22 Labs
Location: Chennai (WFO)
Experience: 0 - 2 yrs
Our Company
F22 Labs has worked with 100+ entrepreneurs over 11 years, including Hollywood celebrities and Fortune 500 companies. We're now focusing on AI transformation projects for enterprises, leveraging our existing POCs in computer vision, voice AI, and custom model development.
The Opportunity
We're looking for a hungry, coachable individual to join our sales team and help us transition from startup clients to mid-market enterprises. This is a ground-floor opportunity where you'll learn everything from scratch while building a $1M+ sales pipeline.
This role is perfect for someone who:
- Wants to learn sales from the ground up
- Loves the grind of outbound prospecting
- Gets energized by rejection (because there will be a lot of it)
- Wants to earn serious money through performance
What You'll Actually Do
- Cold calling: 100 calls per week to enterprise prospects
- Cold outreach: 100 personalized emails per week to CTOs, Chief AI Officers, and Digital Transformation heads
- LinkedIn prospecting: 100 targeted messages weekly to decision makers
- Research & qualification: Identify companies needing AI transformation
- Meeting booking: Schedule qualified meetings for our leadership team
- Pipeline management: Track every activity, response, and outcome in our CRM
Success Metrics (Non-negotiable)
- 1 qualified meeting booked per week minimum
- Target companies: Mid-market/enterprise ($50M+ revenue)
- Project size: $15K-$100K+ AI transformation projects
- Industries: Insurance, banking, manufacturing, healthcare
- Decision makers: CTOs, Chief AI Officers, Engineering Heads, Digital Transformation leaders
What We Provide
- Base salary: ₹30,000-35,000/month
- Commission: ₹35,000 for every project that closes (potentially doubling your income)
- Tools: LinkedIn Sales Navigator, email automation, CRM access
- Training: Complete sales training from our founders
- Growth path: Move into Account Executive role as we scale
What We Expect
- Excellent English communication (this is critical - you'll be talking to Fortune 500 executives)
- Data-driven mindset: Daily activity tracking and weekly performance reviews
- Persistence: Most prospects will ignore you. The right ones won't.
- Coachability: We'll teach you everything, but you need to implement feedback.
- Self-motivation: You'll work independently with regular check-ins
Daily Reality Check
- 8-10 hours of outbound prospecting daily
- Detailed daily reports on activities and results
- Weekly 1:1s to review performance and optimize approach
- Monthly pipeline reviews and target adjustments
- Lots of "no" responses and cold shoulders
- Occasional breakthrough meetings that make it all worth it
Ideal Candidate
- Location: Chennai
- Experience: 0-2 years (we prefer hungry beginners over bad habits)
- Education: Any degree (communication skills matter more)
- Personality: Competitive, resilient, curious, detail-oriented
- Goals: Wants to build a career in B2B sales and earn significant money
Red Flags (Please Don't Apply If...)
- You expect immediate success without putting in the work
- You get discouraged by rejection
- You don't like tracking detailed metrics
- You want a "relationship building" role without cold prospecting
- You're looking for a comfortable, low-pressure job
Selection Process
- Task
- HR Interview
- Final Interview
As a Senior Analyst you will play a crucial role in improving customer experience, retention, and growth by identifying opportunities in the moment that matter and surfacing them to teams across functions. You have experience with collecting, stitching and analyzing Voice of Customer and CX data, and are passionate about customer feedback. You will partner with the other Analysts on the team, as well as the Directors, in delivering impactful presentations that drive action across the organization.
You come with an understanding of customer feedback and experience analytics and the ability to tell a story with data. You are a go-getter who can take a request and run with it independently but also does not shy away from collaborating with the other team members. You are flexible and thrive in a fast-paced environment with changing priorities.
Responsibilities
- Stitch and analyze data from primary/secondary sources to determine key drivers of customer success, loyalty, risk, churn and overall experience.
- Verbalize and translate these insights into actionable tasks.
- Develop monthly and ad-hoc reporting.
- Maintain Qualtrics dashboards and surveys.
- Take on ad-hoc tasks related to XM platform onboarding, maintenance or launch of new tools
- Understand data sets within the Data Services Enterprise Data platform and other systems
- Translate user requirements independently
- Work with Business Insights, IT and technical teams
- Create PowerPoint decks and present insights to stakeholders
Qualifications
- Bachelor’s degree in data science/Analytics, Statistics or Business. Master’s degree is a plus.
- Extract data and customer insights, analyze audio or speech, and present them in any visualization tool.
- 5+ years of experience in an analytical, customer insights or related business function.
- Basic knowledge of SQL and Google Big Query.
- 1+ year of experience working with Qualtrics, Medallia or another Experience Management platform
- Hands-on experience with statistical techniques: profiling, regression analysis, trend analysis, segmentation
- Well-organized and high energy
Non-technical requirements:
- You have experience working on client-facing roles.
- You are available to work from our Bangalore office from Day 1 in a night shift. (US Shift)
- You have strong communication skills.
- You have strong analytical skills.
Job Title: Sr.Java Developer
Experience: 4 to 8 Years
Job Location: Bangalore/ Noida/Indore/Pune/Gurgaon/Hyderabad/Chennai
( Currently Work From Home)
Required Skills:
Primary Skills : Struts, Spring Boot, Java, Java EE - Strong OOPs fundamentals and good design skills, UML, Design Patterns
- Frameworks - Spring, Hibernate, JUnit
- Web Services Rest and Soap based
- Database Should have hands-on knowledge on MySQL, Oracle, PGSQL
- Build tools - e.g. Ant, Maven
- Should possess excellent understanding of java based applications and different customized flows/frameworks. Desirable Skills : Career Growth Plan : Target Companies : Responsibilities : Design, build, and maintain efficient, reusable, and reliable Java code
- Analyze issues in order to troubleshoot potential problems and suggest solutions
- Work with the Integration team to integrate external platforms via APIs/plug-ins
- Architect Integration platform to make sure efficient API calls
- Write Junit/integration test cases to validate the code quality and code coverage
- Attend daily Scrum, collaborate with technical & product team, and complete assigned tasks in each Agile Sprint
- Develop and adhere to best-practices for integrating applications
JOB DESCRIPTION
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I. JOB DETAILS |
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Position Title: |
Senior Developer – Backend |
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Reports to: |
CTO |
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Company: |
Dvara ERegistry |
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Location: |
Hyderabad |
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II. JOB PURPOSE |
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To develop, maintain and extend Dvara Registry’s web and app-based core workflows and analytics platform with a view to bringing efficiency to its processes on a continuing basis. Team member will be involved in designing and developing both frontend and backend components. |
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III. KEY ACCOUNTABILITIES AND DELIVERABLES |
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1. Development, deployment and maintenance of the backend of web and android applications using Python Django, Flask. 2. Deployment of web applications on cloud infrastructure for scalable, distributed access. 3. Version Control of software developed. 4. Working with business leaders and subject matter experts to understand workflows 5. Research emerging technologies and maintain awareness of current platform roadmaps to assist with developing strategic plans. |
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IV. CANDIDATE PROFILE |
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Educational |
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B.E/ B Tech ( Computer Sciences) or |
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Qualifications: |
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Masters Degree in Computer Science/ Applications. |
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Experience: |
5-8 Years of Web application development (FullStack) Experience with deploying applications on cloud infrastructure, preferably AWS Experience in the development of REST APIs and integrating with UI. Experience with the Agile/Scrum development model Strong experience in code versioning using Git. Strong design, development, and implementation experience. |
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Knowledge/Skills required: |
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Full stack development using Python, Flask/Django Knowledge in using AWS Cloud |
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REST API, Microservices Development . |
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Exposure to databases such as PostGresql and NOSQL |
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Deployment to cloud services, preferably AWS |
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Ability to lead initiatives and drive the design and |
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development of products without handholding. |
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Competencies required |
Open to researching and learning new technologies with a view to delivering efficient solutions Excellent communication, presentation and analytical skills, including the ability to communicate complex, technological concepts clearly to all levels of the organization. Keen interest in researching emerging technologies and maintain awareness of current platform roadmaps to assist with developing strategic plans. |
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Internal |
CTO of Dvara ERegistry Others within the Dvara ERegistry – Operations, Agronomists, Product & Credit, Sales and R&D Machine learning and AI Specialists |
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External |
Data Vendors and partners Technology and Platform Partners Client Technology Departments |
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