Sr. Network Engineer

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

• Gather benchmark data about jobs, compensation and benefits
• Map out salary ranges for our open positions
• Calculate retention, turnover and internal mobility rates
• Report on key recruiting metrics like time to fill and hiring costs
• Assist hiring managers in designing hiring and training plans
• Forecast costs by department and help create budgets
• Analyze employees’ answers to internal surveys (like job satisfaction surveys)
• Assess results from our employee performance reviews
• Identify top reasons why candidates and employees choose to work with our company and recommend areas of improvement for our HR procedures

• Work experience as an HR Analyst or similar role
• Experience using Human Resources Management Systems
• Excellent analytical skills
• Ability to create detailed spreadsheets, charts and presentations
• Good research abilities
• Familiarity with HR operations including hiring, payroll and employee benefits
• BSc in Human Resources, Business Administration or relevant field

Responsibilities and Duties

- Researching & extracting relevant details about companies, executives, etc., from the Internet using various tools for various marketing campaigns

- Manage large database sets in multiple Excel files

- Responsible for data extraction and analysis by understanding different locations, industries, departments, designations of executives etc.

• Strong Accountant Profile
• Mandatory (Experience 1) – Must have 2+ years of experience in a general accounting role
• Mandatory (Experience 2) – Must have hands-on experience with Accounts Payable, Accounts Receivable, Reconciliations, and Financial Reporting
• Mandatory (Core Skills 1) – Strong understanding of accounting principles and GAAP
• Mandatory (Core Skills 2) – Expertise in Microsoft Excel (pivot tables, vlookups, data analysis)
• Mandatory (Education) – Bachelor’s degree in Accounting or Finance
• Mandatory (Company) - Product Startup Companies OR Highly Preferred - Online Gaming Companies

Preferred

• Preferred (Education/Experience) – CA dropout with prior corporate accounting experience
• Preferred (Core Skills) – Exposure to budgeting, forecasting, payroll processing, and intercompany account reconciliation

Preferred Companies

1. Dream 11 2. Mobile Premier League (MPL) 3. PokerBaazi 4. Zupee 5. Probo 6. Games 24x7 7. Winzo 8. Paytm First Games 9. Junglee Games 10. Adda52 11. My11Circle 12. RummyCulture/RummyCircle 13. Gameskraft 14. KheloFantasy 15. 99Games 16. BaaziGames

Role & Responsibilities

• Develop high-quality, scalable mobile applications for Android platform using Kotlin.
• Collaborate closely with cross-functional teams to define, design, and implement new features.
• Write clean, efficient, and maintainable code, following coding standards and best practices.
• Optimise mobile app performance to ensure a smooth and responsive user experience.
• Conduct code reviews and provide constructive feedback to team members.
• Stay updated with the latest mobile development trends, tools, and technologies.
• Troubleshoot and debug issues to maintain application stability.
• Participate in the full software development lifecycle, from concept to deployment and support.

Candidates from Product Based companies preferred with IC roles

Candidates who have worked in 0-10 journey and passionate to that again

Ready to work in high growth enviornment

Job Requirements :

- 3+ years on Flutter, Overall 7 years plus

- Hands on and individual contribution on Syntax, Logic and Debugging

- Take ownership of the entire fintech application having 1M + users

- Recruit , train and manage Senior Developers (our most junior developers are 3+ years)

- Worked on latest android versions

- Hands on on Firebase, notifications, Google Maps, Sessions Management , Socket integration

- Good at Core Java and create own libraries

- Work Exp in Lead role in past companies

Experience with Flutter is a plus

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

A Day in the Life of a Creative Designer

Location: Pune, India

Experience: 0-5 years

A Creative Designer is an individual who takes direction, turns concepts into visuals, communicates with other team members, and implements feedback to create a final product. At times, a Creative Designer may brainstorm and implement their own unique ideas.

About FlytBase:

FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments across the globe and has the largest network of partners in 50+ countries. The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics. The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase achieved the Global NTT Data Innovation Contest 2019 in Tokyo, Japan. FlytBase graduated from the Cisco LaunchPad Accelerator Program in 2017 and was awarded the TiE50 Top Startup award by TiE Silicon Valley.

On a given day, a Creative Designer will spend time:

● Storyboarding, editing, composting, rendering, and other post-production processes.

● Brainstorming and developing campaigns while working with the marketing team

● Remaining flexible in dealing with changing schedules and multiple points of view.

● Curating motion graphics videos whenever needed

● Turning ideas into a comprehensive creative brief

● Working on layouts and the overall presentation of a campaign

● Ideating and assembling recorded/raw footage into a finished project that is suitable for digital consumption.

● Providing files to necessary vendors like a digital printer etc.

● Input music, video commentary, subtitles, graphics, and effects.

A Creative Designer has some sort of expertise in:

● Adobe Creative Suite.

● Blender/Cinema 4D or any other 3D software would be an added advantage.

● Keeping up with new trends, pop culture, and memes.

● Bringing elements together, like color, imagery, and text, to convey a message.

Skill(s) required:

● Adobe Creative Suite, 3D animation, 2D animation.

● Knowledge of Blender/Cinema 4D or any other 3D software would be an added advantage.

● Updated with new trends, pop culture, and memes.

Compensation:

This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.

Perks:

1. Fast-paced Startup culture

2. Hacker mode environment

3. Enthusiastic and approachable team

4. Professional autonomy

5. Strong meritocracy

6. Zero bureaucracy

7. Company-wide sense of purpose

8. Flexible work hours 9. Informal dress code

How to apply: Fill this form- https://docs.google.com/forms/d/e/1FAIpQLScTLa0xfpIjyu6BukAEeypvHxGxnSMAFK6P846mEhoYZllxzA/viewform

Engineering Manager

Bengaluru

Work Type: Full Time

We're building E-commerce, Fintech & Supply Chain stacks for Indian Retail & heads down focused on solving the hard, industry-defining challenges. If you love the first principle approach, freedom to build & own your outcomes, It is the place! Welcoming all entrepreneurial minds to BUILD & blitz scale with us!

Responsibilities:

• Work with other our leaders to design and drive the plan for the company's vision.
• Recruit great engineers, in collaboration with our recruiting team.
• Develop engineers on the team, helping them advance in their careers.
• Empower the engineering team to achieve a high level of technical productivity, reliability and simplicity.
• Contribute to engineering-wide initiatives as a member of our engineering management team.

Requirements:

• Bachelor's degree in Computer Science or related technical discipline (Tier I colleges preferable).
• A track record of leading productive engineering teams.
• Successfully recruited great people to your teams.
• The ability to thrive on a high level of autonomy and responsibility.
• The desire to encourage a healthy work environment that's both supportive and challenging.
• A genuine excitement to help engineers develop new skills and advance in their careers.
• Enough technical sense to ask engineers good questions about architecture and product decisions.
• 7+ years of relevant engineering and hands-on technical management experience.
• Previous experience at good tech startups/product companies.
• Strong hands-on experience in full stack development and architecture using NodeJS, MVC, microservices, UI & UX (React), ORM tool (Sequelize), CICD tools (Git, Jenkins, AWS).
• Excellent knowledge of RDBMS, SQL, NoSQL, Cache, Linux based systems.
•  

About the company

Founded by ex-Flipkart leadership and IIT alumni, Arzooo is a vertical focused e-commerce startup, digitising the Consumer Electronics value chain in India.

It started as a B2B platform empowering thousands of Consumer Durables stores with the best of pricing & product selection through its e-commerce stack and also creating a very efficient supply chain infrastructure across tier-2,3,4 towns in India. The recent foray into fintech has enabled us to empower Indian retail with a low cost, digital-first Credit alternative, which is unlocking immense scale for us

We are the largest e-comm player in India in the Electronics domain, and scaling fast towards capturing this multi-billion opportunity. With a presence in 300+ cities, we're now building a direct to consumer platform on top of our existing network of thousands of Durables stores. Through the direct to consumer platform we're taking all these stores online with Live Commerce capabilities, building appliances focused shopping experience for tier-2+ India.

We're a team of 400+ with deep experience in scaling startups, and we are building this team further now.

We are looking for a passionate Full Stack Developer to be responsible for the coding, innovative design and layout of our website. The ideal candidate is someone who works with the Front End, or client-side. You must be comfortable working as part of a team while taking the initiative to take lead on new innovations and projects.

Designation - Full Stack Developer

Salary - Hike on Last CTC

Experience - 3 to 6 years

Location - Lucknow (work from office)

Why to choose Compendious Med Works?

• Payout 2 times more than industry standards.
• Get a chance to work with US- Based IT Company
• Global projects & learnings
• Full-time job opportunity
• Job-security & satisfaction

Expertise & Skills:

• Expertise in managing translation solutions for website localization.
• Past experience in working in a Similar Role.
• Good understanding of Software development life cycle process
• Be responsible for maintaining, expanding, and scaling our site
• Excellent communication and teamwork skills
• 2+ years of experience in back-end technologies.
• 3+ years of experience in front-end technologies, including HTML5, CSS3, JavaScript, jQuery/PHP/Laravel.
• Ability to convert comprehensive layout and wireframes into working responsive HTML pages for tablet, mobile, and desktop with an understanding of website architecture and aesthetics.

Preferred Skills :

• 2+ years of experience in  Angular/React/vue js
• 3+ years of experience in server-side web application logics & integrations.
• Good understanding of modern standards-based HTML, CSS (SASS/LESS).
• Expertise in JavaScript coding skills, jQuery & AJAX.
• Knowledge of DB & code security along with basic server operations like Curl, Crud, cPanel.
• Knowledge of SEO optimization.
• Ability to do Unit testing.