"content marketer"

Job Title : Full Stack TypeScript Developer (Web3)

Location : Remote

Experience Level : 3+ Years

Role Overview :

Join our innovative, funded Web3 startup as a Full Stack TypeScript Developer and play a key role in building a wallet-to-wallet audio calling platform. You’ll collaborate with cross-functional teams to deliver a seamless user experience by integrating real-time communication, blockchain payments, and advanced analytics into our platform.

Key Responsibilities:

Development & Blockchain Integration :

• Design and develop a responsive React + TypeScript frontend using Vite.
• Build a scalable TypeScript, Express.js backend to manage wallets and on-chain transactions.
• Integrate wallet connection frameworks like RainbowKit and Wagmi.
• Implement blockchain payment systems using Superfluid Finance and on-chain revenue sharing with 0xSplits.

Real-Time Communication :

• Develop and optimize real-time audio streaming for calls and Spaces using Jitsi or 100ms.
• Ensure low-latency performance, scalability, and smooth user interactions for high-concurrency scenarios.

Data Management & Analytics :

• Manage relational data with Drizzle ORM and Neon Postgres.
• Develop analytics features using The Graph or custom indexers to query blockchain data effectively.

Collaboration & Documentation :

• Collaborate closely with product, design, and blockchain teams to align on technical solutions and goals.
• Document APIs, workflows, and architectural decisions to ensure clarity and smooth handoffs.

Required Skills:

• Strong proficiency in React, TypeScript, and Express.js.
• Hands-on experience with blockchain tools such as ethers.js, Superfluid, 0xSplits, and The Graph.
• Familiarity with real-time audio communication systems like Jitsi or 100ms.
• Expertise in relational databases like Postgres and scalable storage solutions.
• Excellent debugging, optimization, and problem-solving skills.

Preferred Qualifications:

• Prior experience in Web3 or blockchain-based applications.
• Knowledge of decentralized systems and protocols.
• Understanding of agile development processes and CI/CD pipelines.
• Strong attention to detail with the ability to write clean, maintainable code.

What We Offer:

• A chance to work at the forefront of Web3 innovation.
• Fully remote, flexible work environment.
• Competitive salary and equity options.
• Opportunity to make a significant impact in a growing startup.

Roles & Responsibilities

What You'll Do

• Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

• Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

• Ship AI/ML-powered features, including LLM and agentic capabilities.

• Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

• Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

• Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

What You'll Bring

• Experience: 4+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you

Mandatory skills

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

This Role Will Need To Develop A Healthy Knowledge Of The Business Offerings, Services, And Products. Responsibilities Of Candidates Include:

• Meeting With Customers Digitally Or In-Person During Sales Visits

• Develop A Business Strategy To Ensure Area Sales Growth

• Demonstrating And Presenting Products

• Establishing New Business

• Arrange Business Meetings With Prospective Clients

• Generating The Leads

• Maintaining Accurate Records

• Achieve Agreed Upon Sales Targets And Outcomes Within The Schedule

• Look For New Business Opportunities

• Cold Calling Prospects

• Handle Inbound Queries

• May Need To Represent The Company At Events

Be a part of the fitness tech revolution by joining BunkerFit and help shape the active lives of 100 Mn Indians. BunkerFit is the only All-in-One vernacular fitness app of India.

Role:

• Develop data-driven dashboards
• Create stunning looking mobile apps
• Turn data to actions and insights at production level web & mobile applications
• Prior knowledge mobile app dev will be a plus.