Content Marketer

Apply here https://tinyurl [dot] com/3tz4tkht

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.

First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.

Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Agency OS

We're building the first agency OS: a system where the agency's work is the software, enabling clients to gain an unfair advantage.

As Karpathy puts it, Software 3.0 automates what humans can verify. Verifiability, not capability, decides which work can safely be handed over. So every eval we write expands the set of work we can trust an agent with, and the harness isn't overhead around the product, it's what makes the product possible. Dex Horthy covers the operational half: the agents that survive contact with customers are well-engineered software with human judgement placed deliberately, and disciplined loops beat vibes.

What that looks like here: expert orchestrators, not operators. One strategist supervising a fleet of agents running real client workflows at scale, with the system surfacing what genuinely needs a human decision and staying quiet about what doesn't. Feedback loops everywhere. Every correction an expert makes becomes an eval case, and the swarm is better the next cycle.

The Team

You'll join the Automations team at Discovered Labs. We build the agent swarm: a growing fleet of agents and workflows that do real client work end to end, and the engineering that makes them trustworthy enough to let loose on it.

Your mandate is both halves of that. Expand what the swarm can do, and prove that what it does is right. That means applying hardcore engineering to a famously slippery problem: making non-deterministic systems reliable, measurable and provable. Evals that fail a build. Traces that explain a decision. Guardrails that hold when a model doesn't. Agents that know what they don't know and say so.

You'll work alongside the Automations lead, and with our AI & Data team who own the platform and tooling underneath you. You won't be building orchestration from scratch or fighting for infrastructure. It's there, and it's good. Your job is to take it the last mile.

Every agent you make provable is an agent we can put in front of a client. That's the whole game, and the ceiling on how fast this company grows.

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, shipped AI code review at CodeRabbit, built at Amazon, developed self-driving car systems at Aurora, and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

You'll join the Automations team, and your job is to productionise what we've built.

We have live 24/7 agents, data pipelines and workflow infrastructure. What you’ll be doing is helping us get the stack running robustly, reliably and at scale.

That means evals that catch regressions before they ship, observability that explains why an agent did what it did, provenance that traces every claim back to its source, and interfaces that let a non-engineer SEO strategist run and review the work. You'll build the harnesses and eval suites that gate agent changes in CI, the lineage and step-trace tooling that makes agent reasoning inspectable, and the surfaces the team actually uses. Then you'll close the loop: instrument the output, feed the signal back, and make the agents measurably better every cycle.

You'll also extend what agents can reach. Today they work over APIs and our own data. Next they operate real websites along withsession handling, and navigating interfaces that were never designed for machines.

The hard problem is reliability and legibility. An agent that's right 80% of the time and can't tell you which 80% is worthless. An agent that's right 95% of the time, shows its working, and flags its own uncertainty is a product.

You report to the CTO and work alongside the Automations lead, with our AI & Data team owning the platform beneath you. You own your evals, your CI, and your monitoring.

What You'll Do

Agent eval harnesses. Golden suites, deterministic checks, and online scoring that gate every agent change in CI. A regression should fail a build, not a client report.

Agent observability. Step traces, token and cost accounting, run-level SLOs, and failure taxonomies. You'll know the difference between "the agent ran" and "the agent was right."

Data lineage and provenance. Every claim an agent makes should be traceable to its source. Which inputs, which tool calls, which reasoning steps produced this output.

End-to-end agents with human review. Agents that complete real work start to finish, with a curated review surface so an expert can approve, correct, or reject, and so that correction becomes training signal.

Interfaces for non-engineers. Dashboards and controls that let the SEO team run, inspect and trust agent work without asking an engineer.

Expanding what agents can do. Agents that open pull requests against real repositories, authenticate through OAuth, and operate real sites and CMSs through the browser. Every new capability is a new class of work the swarm can take on.

Closing the loop. Turn signals we already collect, such as AI perception and citation data, into concrete client value: strategy recommendations, prioritised actions, and measurable outcomes.

Algorithms and scoring models. Not everything should be a prompt. You'll build and tune the scoring systems behind what we recommend: internal linking and semantic relevance scoring, Reddit opportunity and thread scoring, content and citation quality. These are ranking and classification problems with real feedback data behind them, and where a model beats a prompt, you build the model.

Shared, composable modules. Reusable capability blocks that both agents and workflows compose, so an improvement lands everywhere at once instead of being reimplemented per agent.

Scaling across clients. Take a workflow that works for one client and make it run reliably for many, with per-client configuration, isolation, and failure that stays contained.

The Ideal Person for This Role

A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built AI systems people actually rely on.

An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once in a demo.

An owner. You take responsibility for outcomes, not just tasks. When an agent silently produces bad output, you catch it, fix it, and build the eval that stops it recurring.

Maniacal about detail. This is the one that matters most here. AI has made it trivially cheap to produce a large volume of plausible-looking work, and most of that work is slop. We are building the opposite: output that holds up when a client reads it line by line. If you'd rather ship one thing that is provably right than ten that are probably fine, this is your team. If you cannon volume and let the reviewer sort it out, it isn't.

Sceptical of your own output. You assume the model is wrong until measured. You've been burned by a demo that worked and a production run that didn't, and you build accordingly.

Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.

A first-principles thinker. You understand why things work, not just how. You can go five levels deep on eval design, prompt architecture, and where to put the human in the loop.

Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

5+ years in software engineering, with meaningful recent time on LLM-backed or ML-backed production systems, including 2+ owning a production system end to end.

Python, React, Typescript and strong systems fundamentals. You write production services, not notebooks.

LLM application engineering in production. Agents, tool use, structured outputs, retrieval, prompt architecture. You've shipped something real that used them and stayed up.

Evaluation systems. You've built eval suites for non-deterministic systems: golden datasets, regression gates, offline and online scoring. You've thought hard about what "correct" means when there are many correct answers.

Observability for AI systems. Tracing, run inspection, cost and token accounting. Langfuse, LangSmith, Braintrust, OpenTelemetry or equivalent.

Debugging non-determinism. You can diagnose why an agent failed on run 47 of 100 and turn that into a permanent check.

Pipeline orchestration. Airflow, Dagster, Temporal or similar. Retries, idempotency, partial failure, resumption.

Third-party API integration. Auth flows, rate limits, pagination, breaking changes. Not just calling endpoints, but handling the full operational reality.

Own your infrastructure. Containers, CI/CD, deployment, monitoring, credential management. No platform team to hand off to.

Product sense for expert users. You've built tooling that domain experts, not engineers, use daily. You know that an unexplained AI output is an unusable one.

Collaborative. You'll define contracts with the engineers who own the infra beneath you. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Browser automation or authenticated web agents (Playwright, Puppeteer, computer-use models)
• Applied ML: ranking, scoring, classification, or recommendation systems in production
• Python, React, Typescript
• Terraform, Kubernetes
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Technical Deep Dive
3. Reference Checks

Apply here https://tinyurl [dot] com/3tz4tkht

Full Stack Engineer

Location: Bangalore

Type: Full-time

Experience: 3-8 years

Our Vision

At Featurely AI, we’re pioneering human behavior simulation, with backing from leading venture capital

firms across Silicon Valley and India. Our leadership team includes veterans from Silicon Valley's most

prestigious tech companies (Nvidia, Google, Meta, Dropbox, Twilio, Amazon, Yahoo!), bringing decades

of combined experience in creating world-changing products.

Why Join Us Now

This is a rare ground-floor opportunity to help shape revolutionary AI technology with exponential

growth potential. We're not just building another app—we're developing solutions that will

fundamentally transform how products evolve.

The Role & Impact

As our Full Stack Engineer, you'll have outsized influence on our core product during this critical growth

phase. You'll collaborate directly with our leadership team to architect and implement solutions that

millions will eventually use. Your code will define the foundation of what we're building.

What You'll Do

• Drive end-to-end development of breakthrough AI-powered features

• Design elegant, scalable solutions across our entire technology stack

• Shape our engineering culture and technical decision-making

• Work at the intersection of cutting-edge AI research and production systems

• Build systems that will scale to support millions of users

What You Bring

• 3+ years of exceptional full-stack engineering experience

• Mastery of modern web frameworks and development practices

• Track record of shipping high-quality, production-ready code

• Strong problem-solving abilities and attention to detail

• Self-direction and comfort with startup ambiguity

Why People Join Us

• Elite Backing: Funded by premier venture capital firms with track records of identifying category

defining companies

• Exponential Growth: Join at the perfect moment—established enough to be stable, early

enough for significant equity upside

• Technology Leadership: Work with futuristic AI technology years ahead of the market

• Exceptional Team: Collaborate with leaders from Silicon Valley's most innovative companies• Competitive Compensation: Top-of-market salary, generous equity, and comprehensive benefits

• Work That Matters: Build technology that meaningfully improve how products evolve and adapt.

We're selective about who joins our team, but we move quickly for exceptional talent. If you're ready to

be challenged and do the best work of your career, we should talk.

Job ID: RP1050

Job Location: Mumbai or Gurugram

Expected Joining: within two weeks

Job Requirement:

• 4 to 7 years of experience in the lending domain.
• Proficiency with selenium using Java or Python
• Proficiency in Linux, network database, distributed system.
• Develop test plans, identify quality risks and propose reasonable solutions
• Organize and execute test tasks

About Us:

Mobile programming LLC is a US-based digital transformation company. We help enterprises transform ideas into innovative and intelligent solutions, governing the Internet of Things, Digital Commerce, Business Intelligence Analytics, and Cloud Programming. Mobile programming is SAP Preferred Vendor, Apple Adjunct Partner, Google Empaneled Mobile Vendor, and Microsoft Gold Certified Partner.

• Play an active role in QA activities during all phases of our product development from requirements elaboration, design/development, test and deployment
• Responsible for manual and automated testing activities for a multi-tier web-based platform. This includes writing test cases based on business requirements, test data creation, creating and maintaining automated scripts to test front-end, APIs and database changes
• Creating and maintaining all QA related documentation throughout the process
• Execution of the test phase consistent with the overall project schedules
• Direct interaction/facilitation of bug resolution with engineering teams
• Work effectively within a dynamic team environment following standards and best practices and ensure the highest level of quality
• Ability to understand the technical architecture, its implementation, design patterns, data representations and infrastructure powering these systems.
• Work closely with software devs and solution architects to understand the tech stack, design and accordingly build the test frameworks, setup infra and build execution models to drive the end-to-end quality efforts of backend systems/services and client apps
• Debug test failures, read through logs, network calls and make preliminary root cause analysis of defect/bug
• Develop test plans, test cases, test design documents with good coverage and optimised testing approach
• Should be able to identify the test cases qualifying for test automation
• Use of tracking tools to log, manage, resolve and report on bugs

Candidate requirements

Must have

• At least 2-4 years of experience in manual and automated quality assurance
• Experience on automation tools like TestNG, Selenium (Grid, parallel, SauceLabs), Mocha_Chai frontend or backend test automation
• Good understanding of REST APIs and a solid experience in testing them
• Tools like Jira, Asana or similar bug tracking tool, Confluence - Wiki, Jenkins - CI tool
• Knowledge of different browsers and cross-platform operating systems
• Keen eye for design and functional UX
• Strong in writing SQL queries
• Proficiency in git
• Ability to develop or maintain applications for test automation
• Excellent written and oral communication and organisational skills with the ability to work within a growing company with increasing needs
• Proven track record of ability to handle time-critical projects

Good to have

• Experience in working in a distributed micro-service environment
• Proficiency in Python, JavaScript or any other programming language
• Hands-on experience in testing frameworks like Pytest or testing platforms like BrowserStack
• Built APIs at some point and practical knowledge on working with them
• Good understanding of CI/CD
• Ability to independently manage test environment deployments and handle issues around it
• Performed load testing of API endpoints
• Should have built an API test automation framework from scratch and maintained it
• Knowledge of cloud platforms like AWS, Azure
• Bachelor's degree in Computer Science / IT / Computer Applications

Skills Required:

- Good experience with programming language Python
- Strong understanding and development experience with Golang.
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

Few words about Unify Technologies: Unify a Digital Engineering company. We help our clients by providing Digital Engineering Services to develop high-quality products. We have extensive experience in software product engineering and a successful track record of delivering on aggressive delivery plans without compromising on the quality in Cloud, Mobile, and Data practices.

If you are looking for a solid opportunity to put your Computer Science skills to test you are in the right place. We need some hard-core programming help to help enhance our Data management frameworks used to move data between platforms and systems seamlessly.

Employment Type: Full-Time

Position: Sr SDE - Senior Software Development Engineer (Java Back-End Development)

Project: Product-Apple’s Maps and Advertising Platforms

Experience: 4-8 Years

Key Skills: Java Programming + Spring Boot + REST / Java + SQL

Joining time: Immediate to 30 days

Work Location: Hyderabad - India

Education: Master’s/Bachelor’s degree in Computer Science, Statistics, Engineering or a related technical discipline will be preferred

Detailed Job Description: At UNIFY, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 

We are looking to hire extraordinary individuals with strong communication and interpersonal skills and ability to work effectively across multiple business and technical teams. As a part of this team, you will build cutting edge software service, one that is continually innovating and is proud of making a difference. 

You should be a self-starter, motivated, with exceptional interpersonal skills as well as a positive and flexible approach to problems. The applicant should have the ability to thrive in a fast-paced, tight deadline delivery timeline. As a part of this dynamic team, the applicant will help us build the product experience on a global scale. 

If you’ve responded positively to the above questions and want to work in a great, international team, that is passionate, creative, ambitious, open to knowledge-sharing, and loves to cooperate with each other - join us!

Key Qualifications:

• Minimum of 4 years experience implementing large-scale production systems

• Hands-on experience with design, development and productizing highly available, distributed and scalable transactional enterprise systems.

• Strong hands-on programming experience in Java/J2EE building middleware or backend applications.

• Strong development experience of microservices architecture in a highly distributed environment with web services, Spring, Spring Boot, Hibernate and SOA

• Experience with RDBMS like Oracle and NoSQL databases such as MongoDB, Couchbase, Elasticsearch

• Sharp troubleshooting skills and real-world systems deployment experience.

• Proven track record with rapid development cycles and demanding schedules

• Experience doing Software Development using Agile methodologies

• Understanding or experience working on Cloud technologies is a plus

Roles & Responsibilities:

• Design and implement web APIs.

• In this role, you will be involved in the end to end cycle of design, development and deployment of core services for mission-critical customer-facing applications. 

• Results-oriented and demonstrate a high degree of ownership and accountability.

• Experience handling distributed vendor resources

• Creative problem solver and excellent collaborator, who thrives in a fast-paced, innovative environment.

• Communicate quickly and effectively; vertically and horizontally through the organization.

• Influence others to get things done.

• Must possess excellent problem-solving & analytical skills.

• Handle ambiguity and solve problems despite uncertainties.

• Ability to lead large projects focusing on innovation, teamwork and results.

• Proven track record of achieving outstanding results in a professional career

Mandatory: Hands on experience working with Java or Kotlin. Very strong logical skills. Good hold on operating system concepts and data structure. Experience with web services , SQL Lite , camera kit , image caching concepts, keychain , past experience working with one of the design patterns like MVC / MVVM / MVP , network check implementation.

Good to have:  Rx-Swift experience , video / image filter experience , media player usage , complex UX effects , couch-db , RealM.Knowledge of GIT management , Continuous Integration and Continuous Development practices.

Soft Skills: Strong communication skills , high spirited , eager to learn , able to perform in a high pressure environment

• Looking for candidates from cable or wire marketing back ground is preferable.
• Communicate with Customer’s decision making authorities and fix appointments for sales team from data base or from other sources.
• Proactive marketing, Customer Service & Sale's support
• Sending offers/quotations/proforma invoices to the customers
• Follow-up with the customers for orders/seeking feedback on the offers quoted
• Sending dispatch details to the customers after goods are dispatched
• Arranging samples of the products to the customer as per their request
• Maintaining and updating database regularly of all the customers, samples sent, offers made
• Finding out new potential customers for  products and doing sales promotional activities such as sending brochures/product flyers through couriers and emails.
• Need to have good browsing skills and hands on MS office skills
• Solving customer queries
• Other duties assigned