
Job description
About the company - Exploring Infinities is a EdTech company headed by Neelakantha Bhanu Prakash, which reaches out to students across different educational institutions, employees across a lot of corporates and training them in speed and mental ability by harnessing the infinite brain potentials of the human brain, addressing a variety of audiences in various conferences, for creating awareness on capacities of the human brain by holding demonstrations, workshops.
Role : Full-time
Location : Remote
Roles and Responsibilities:
- Willing to familiarise yourself with the company's vision and mission seeking to accomplish set goals and objectives.
- Collating and maintaining client information in the CRM database.
- Make calls to clients and respond to callback requests for international regions like US, Canada, Middle East, ANZ, EMEA, LATAM etc...
- Email & whatsapp conversations with potential leads.
- Convert potential leads into customers.
- Learning & using our customer relations management software & others.
- Related computer softwares.
Requirements:
- Excellent written and verbal communication skills.
- Laptop is mandatory.
- Willing to work in a startup environment (fast paced).
- Willing to work 6 days a week.
Benefits:
- Competitive salary benefits
- Uncapped Incentives
- Exemplary growth cycle

About Bhanzu
About
Bhanzu is a revolutionary math-learning platform that is dedicated to inspiring learners to pursue careers in math and STEM fields. With a mission to eradicate global math phobia, Bhanzu is changing the way students perceive math for a better world. The platform offers a comprehensive range of math courses, designed to cater to learners of all ages and skill levels.
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Location: Bengalore, India, Exp: 3-5 Yrs
Backend Developer (Golang) - Trading & Fintech
About Us:
Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.
What we expect:
You should already be exceptional at Golang. If you need hand-holding, this isn’t the place for you.
You thrive on challenges, not on perks or financial rewards.
You measure success by your own growth, not external validation.
Taking calculated risks excites you—you’re here to build, break, and learn.
You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.
You understand the stakes—milliseconds can make or break trades, and precision is everything.
What you will do:
Develop and optimize high-performance backend systems in Golang for trading platforms and financial services.
Architect low-latency, high-throughput microservices that push the boundaries ofspeed and efficiency.
Build event-driven, fault-tolerant systems that can handle massive real-time data streams.
Own your work—no babysitting, no micromanagement.
Work alongside equally driven engineers who expect nothing less than brilliance.
Must have skills:
Learn faster than you ever thought possible.
Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).
Deep understanding of concurrency, memory management, and system design.
Experience with Trading, market data processing, or low-latency systems.
Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing.
Hands-on with Docker, Kubernetes, and CI/CD pipelines.
A portfolio of work that speaks louder than a resume.
Nice-to-Have Skills:
Past experience in fintech, trading systems, or algorithmic trading.
Contributions to open-source Golang projects.
A history of building something impactful from scratch.
Understanding of FIX protocol, WebSockets, and streaming APIs.
Why Join Us?
Work with a team that expects and delivers excellence.
A culture where risk-taking is rewarded, and complacency is not.
Limitless opportunities for growth—if you can handle the pace.
A place where learning is currency, and outperformance is the only metric that matters.
The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech. This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.
Role & Responsibilities
We are looking for a dynamic, tech-savvy Technical Account Manager who is passionate about emerging technology and dedicated to delivering exceptional customer experiences. As a key member of our global supply team, you will be pivotal in engaging with both prospective and existing clients, particularly with top endemic publisher accounts in the AdTech/Pharma Tech sectors, support the onboarding process, helping customers gain maximum value from our solutions.
- Account management: build and maintain strong, strategic relationships with clients, acting as a trusted technical advisor throughout the onboarding and post-implementation phases
- Onboarding & implementation: support technical onboarding for new clients, managing integrations and ensuring clients are set up for success from day one
- Ongoing client support: act as the primary technical contact for key accounts, troubleshooting issues, and proactively identifying opportunities to drive client satisfaction and retention
- Conduct live demos: present our solutions to prospective clients, emphasizing unique benefits and features, and tailor demos for varying audience levels, with a focus on endemic and top publisher accounts
- Cross-functional collaboration: identify client needs and customise demo experiences for prospective and new clients, ensuring alignment with their goals, particularly with top publisher accounts
- Feedback & reporting: gather insights from client interactions to inform product development. Regularly report on account health, demo success, and product feedback, helping share future enhancement
Ideal Candidate
- Strong Technical Account Manager (Publisher Side) Profile
- Mandatory (Experience 1) – Must have minimum 6+ years of total experience, including 5+ years as a Technical Account Manager in AdTech, Programmatic Advertising, or Digital Media
- Mandatory (Experience 2) – Must have hands-on experience managing end to end top publisher accounts or supply-side relationships; technical onboarding, integrations, troubleshooting, and providing technical assistance to publishers
- Mandatory (Experience 3) – Strong working knowledge of SSPs, programmatic ecosystem, ad-serving workflows, and ability to explain technical concepts clearly to non-technical stakeholders
- Mandatory (Experience 4) – Demonstrated experience conducting live product demos, explaining features/benefits, and tailoring demos for publisher / stakeholders
- Mandatory (Experience 5) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
- Mandatory (Experience 6) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
- Mandatory (Company) – Must come from an AdTech, Programmatic, SSP, Publisher-side, or Digital Media Tech organisation dealing with supply partnerships / publisher ops
- Preferred (Experience) – Must have strong real-time problem solving skills with ability to independently troubleshoot technical issues during onboarding and ongoing publisher support
ROLE: Ai ML Senior Developer
Exp: 5 to 8 Years
Location: Bangalore (Onsite)
About ProductNova
ProductNova is a fast-growing product development organization that partners with
ambitious companies to build, modernize, and scale high-impact digital products. Our teams
of product leaders, engineers, AI specialists, and growth experts work at the intersection of
strategy, technology, and execution to help organizations create differentiated product
portfolios and accelerate business outcomes.
Founded in early 2023, ProductNova has successfully designed, built, and launched 20+
large-scale, AI-powered products and platforms across industries. We specialize in solving
complex business problems through thoughtful product design, robust engineering, and
responsible use of AI.
Product Development
We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply
aligned with business goals and long-term value creation.
Our end-to-end product development approach covers the full lifecycle:
1. Product discovery and problem definition
2. User research and product strategy
3. Experience design and rapid prototyping
4. AI-enabled engineering, testing, and platform architecture
5. Product launch, adoption, and continuous improvement
From early concepts to market-ready solutions, we focus on building products that are
resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with
customers to iterate based on user feedback and expand products across new use cases,
customer segments, and markets.
Growth & Scale
For early-stage companies and startups, we act as product partners—shaping ideas into
viable products, identifying target customers, achieving product-market fit, and supporting
go-to-market execution, iteration, and scale.
For established organizations, we help unlock the next phase of growth by identifying
opportunities to modernize and scale existing products, enter new geographies, and build
entirely new product lines. Our teams enable innovation through AI, platform re-
architecture, and portfolio expansion to support sustained business growth.
Role Overview:
We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.
Key Responsibilities:
1. Model Analysis & Optimization
Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.
2. AI Product Design & Development
Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.
3. Prompt Engineering & Response Quality
Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.
4. AI Service Integration
Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.
5. AI-Assisted Development Productivity
Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.
6. Cross-Functional Collaboration
Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.
7. Model Monitoring & Continuous Improvement
Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.
Qualifications:
1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.
2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.
3. Proven experience building, training, and deploying chatbots or conversational AI systems.
4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.
5. Solid programming experience in Python, with strong problem-solving and development fundamentals.
6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).
7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.
9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.
Why Join Us
• Build cutting-edge AI-powered B2B SaaS products
• Own architecture and technology decisions end-to-end
• Work with highly skilled ML and Full Stack teams
• Be part of a fast-growing, innovation-driven product organization
If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.
- Strong Senior UI/UX Product Designer profile – IC Role in B2C Mobile Apps
- Mandatory (Experience 1): 4+ YOE as a Product Designer, UI/UX Designer, or Mobile App Designer with strong IC ownership in tech/startup environments
- Mandatory (Experience 2): Strong experience as a Fullstack Product Designer (UI + UX) for Mobile Apps (especially Android)
- Mandatory (Core Skill 1): Must be highly proficient in Figma - able to create wireframes, user flows, high-fidelity mockups, and micro-interactions from scratch
- Mandatory (Portfolio): Strong UI/UX portfolio of B2C Mobile Apps; Portfolio should reflect strong UI, Interaction, Visual Design skills (UI Heavy portfolio) (preferably launcher/utility/feed-driven apps)
- Mandatory (Company): B2C product companies
- Mandatory (Exclusion): Payment gateway companies
Preferred Companies
B2C Product Companies List: Ultrahuman, boAt, Noise, Fire-Boltt, Mamaearth, Nykaa, Purplle, SUGAR Cosmetics, mCaffeine, CRED, Paytm, PhonePe, Amazon India, Flipkart, Meesho, Tata 1mg, Practo, PharmEasy, HealthifyMe, Cult.fit, Groww, Zerodha, Upstox, Dream11, MPL (Mobile Premier League), WinZO, Ather Energy, Wakefit, SleepyCat, Urban Company, ShareChat, Moj, Dailyhunt, Koo, Chingari, Josh (VerSe Innovation), BYJU’S, Unacademy, Vedantu, Cuemath, Embibe
Key qualifications
1. Bachelor’s Degree required and any other relevant academic course a plus.
2. Strong domain knowledge of investment data
3. 5+ years of data management, data analytics, or data governance experience in financial services
4. Experience in data analysis, exploratory analysis using SQL and formulating data quality rules.
5. Experience working with BI reporting tools like Tableau, Power BI is preferred.
6. Knowledge in coding, Python is a plus.
7. Prior experience working with Data Platforms like Aladdin, FactSet, Bloomberg, MDM platforms preferred.
AI Lead (Backend Systems & Architecture)
This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.
At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.
You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.
What You’ll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
- Own systems end-to-end: architecture, development, deployment, and scaling
- Build reliable, high-performance distributed systems
- Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
- Lead backend and AI initiatives with strong technical ownership
- Ensure performance, scalability, observability, and cost efficiency
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to build AI-native solutions
What We’re Looking For
- Proven experience in architecting and scaling backend systems end-to-end
- Strong expertise in Python (Django / Flask / FastAPI)
- Deep understanding of distributed systems and system design
- Hands-on experience with AWS or GCP in production environments
- Solid experience working with LLMs (Claude, GPT, etc.)
- Strong knowledge of:
- Retrieval-Augmented Generation (RAG)
- Vector databases (Pinecone, FAISS, Weaviate, etc.)
- Experience in building and managing microservices architectures
- Ability to lead teams, mentor engineers, and drive technical excellence
- Strong problem-solving skills with an ownership mindset
Nice to Have
- Experience building AI agents or autonomous systems
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- Understanding of MLOps and AI system lifecycle
- Experience optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable in fast-moving, ambiguous environments
- You stay updated with the latest advancements in AI and backend technologies
This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.
Job Title: Structured Finance Analyst – Energy Transition at AI Platform
Responsibilities:
- Conduct thorough pre-closing due diligence on structured finance deals, including project finance, securitization, and asset-backed lending in energy transition sectors (solar, wind, battery storage, EV infrastructure).
- Analyze credit structures, collateral quality, and cash flow modeling to independently validate underwriting assumptions and identify key risks.
- Prepare detailed investment analysis reports benchmarking AI-driven diligence results against manual underwriting.
- Collaborate closely with AI engineering teams to refine the underwriting platform through continuous feedback on accuracy, coverage gaps, and improvement opportunities.
- Stay abreast of market developments, regulatory changes, and emerging trends in structured finance and renewable energy project finance.
- Participate actively in transaction discussions, providing insightful analysis and contributing to decision-making processes.
Qualifications:
- Minimum 2 years of structured finance experience from an investment bank, rating agency, private credit fund, or fintech lender specializing in structured products.
- Demonstrable experience in analyzing structured finance products, including ABS, project finance, or infrastructure debt.
- Strong proficiency in Excel modeling, cash flow analysis, and scenario testing.
- Understanding of credit risk assessment, collateral valuation methodologes, and deal structuring principles.
- Bachelor’s degree in finance, economics, engineering, or a closely related field; CFA Level I or higher preferred.
- Excellent communication skills, both written and verbal, with the ability to clearly articulate complex financial concepts.
Ideal Candidate Profile:
- A structured finance analyst currently working at a bank, rating agency, or fintech lender seeking a dynamic, innovative environment that leverages cutting-edge technology.
- Demonstrated success in independently conducting deal diligence comparable to an experienced third-year analyst at a top-tier firm.
- Highly analytical, detail-oriented, with intellectual curiosity and passion for energy transition financing.
- Entrepreneurial mindset with adaptability to thrive in a fast-paced, high-growth startup environment.
- Interested in leveraging their structured finance skills to directly impact the growth and accuracy of an AI-driven investment diligence platform.
At Webcyper Pvt Ltd, we are a growing technology company building innovative web solutions for our clients. We focus on delivering high-quality digital products, and we’re on a mission to scale our operations with talented, passionate individuals.
If you're a problem solver, love clean code, and are excited to work in a fast-paced startup environment — we want to hear from you!
Key Responsibilities:
Develop, test, and maintain high-quality web applications using Python and Django framework.
Work closely with frontend developers and designers to implement user-friendly interfaces.
Integrate third-party APIs and services.
Write clean, reusable, and efficient code.
Optimize applications for speed and scalability.
Troubleshoot, debug, and upgrade existing applications.
Participate in code reviews and technical discussions.
Stay up-to-date with emerging trends and technologies in backend development.
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
-A premium college gratduate is required.
-Strong experience in Data Structures and Algorithms.
-Should have good understanding of databases and storage fundamentals.













