Sales 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

Our Vision:

Vapronix web is a platform for constant interaction of technology and human creativity. We aim to create a digital environment that connects people from around the world, fulfilling their entertainment and mind simulation needs while co-creating happiness and generating value for all.

Job Summary:

We are seeking a skilled and imaginative 2D Motion Graphic Designer to produce an enticing marketing video for our game apps. As a 2D Motion Graphic Designer, your primary objective will be to create a visually captivating and dynamic video that effectively showcases the unique features and excitement of our game apps to our users.

Key Responsibilities

1. Create engaging motion graphics, video edits, and promotional assets for game marketing.
2. Collaborate with marketing, content, and development teams to deliver creatives on time.
3. Research trends, competitors, and winning hooks to develop high-performing concepts.
4. Produce edits, variations, and iterations quickly while maintaining consistency and quality.
5. Take full ownership of the end-to-end creative process - assets, versions, feedback, and final delivery.
6. Optimize videos for multiple platforms and integrate music, SFX, and voiceovers where needed.
7. Stay updated on design tools, motion trends, and gaming industry best practices.

Requirements

• Proven experience in motion graphics with a portfolio (gaming creatives preferred).
• Proficiency in After Effects, Premiere Pro, and Adobe Creative Suite.
• Strong understanding of visual storytelling, video formats, audio editing, and color grading.
• Ability to create both reference-inspired and original creatives.
• Detail-oriented, deadline-driven, and capable of handling multiple projects.
• Strong communication skills and openness to feedback.

Python Backend Developer (5+ years experience)

We are seeking an experienced Python Backend Developer with at least 5 years of hands-on experience in Python and Django development. The ideal candidate will have a strong background in MySQL and MongoDB databases, as well as knowledge of HTML, CSS, JavaScript frameworks, and cloud technologies like AWS, Azure or Google Cloud.Key Responsibilities:

• Design and develop scalable, high-performance Python applications using the Django framework
• Write clean, maintainable, and well-documented code
• Optimize database queries and schema design for improved performance
• Integrate applications with various APIs and third-party services
• Collaborate with cross-functional teams to gather requirements and deliver solutions
• Participate in code reviews, testing, and deployment processes
• Continuously learn and stay updated with the latest technologies and best practices

Required Skills and Experience:

• Bachelor's or Master's degree in Computer Science, Information Technology or a related field
• 5+ years of professional experience in Python and Django development
• Proficient in MySQL and MongoDB databases, with the ability to write complex queries and optimize database performance
• Hands-on experience with HTML, CSS, and at least one JavaScript framework (e.g., React, Angular, Vue.js)
• Knowledge of cloud technologies like AWS, Azure, or Google Cloud is preferred
• Strong problem-solving and algorithmic skills
• Excellent communication and teamwork skills
• Passion for continuous learning and innovation

Preferred Qualifications:

• Experience in developing and deploying applications on cloud platforms
• Knowledge of containerization technologies like Docker and Kubernetes added advantages

Profile: Azure Presales Consultant / Azure Solution Architect

Experience: 2 To 5 years

Requirement : Solution Provider, Technical Documentation, Public Cloud Solution, Client Interaction, Solution Designing, etc.

Location: Noida Sector 63 (Work From Office)

Organization : i2k2 Networks Pvt Ltd

Website: www.i2k2.com

Email id : Nidhi(a)i2k2.com

Prefer Immediate Joiners to 15 days.

Job Description:

Azure Pre-Sales Consultant

• Proactively identifies and scopes the technical solutions necessary to address customer requirements, thoroughly assessing both met and unmet needs, while recommending optimal solutions that align with the proposed architecture.
• Adopts a consultative and solution-oriented sales approach to ensure the client’s needs are accurately understood and effectively met.
• Collaborates closely with the Solution Manager and Development team to gain insights into product direction and design, and ensures relevant information is communicated effectively to the sales team.
• Ensures that pre-sales resources are continuously aligned with the evolving needs of the sales team.
• Actively participates in scheduled client meetings, offering valuable insights and expertise.
• If needed, assumes the role of Project Manager for each deal to ensure the final solution meets customer expectations and aligns with initial proposals.
• Delivers clear, effective, and professional presentations on i2k2 products and services to clients.
• Ensures all activities adhere to legal, ethical, and i2k2 policy standards.
• Monitors market trends through client engagement and participation in industry events, seminars, and meetings, providing regular feedback to the Sales Head.
• Demonstrates expertise in Azure Presales/Solution Architecture, with a strong background in solution design, technical documentation, and client interaction.

 Company Profile:

i2k2 Networks is a trusted name in the IT cloud hosting services industry. We help enterprises with cloud migration, cost optimization, support, and fully managed services which helps them to move faster and scale with lower IT costs. i2k2 Networks offers a complete range of cutting-edge solution that drives the Internet-powered business modules. We excel in:

    Managed IT Services

    Dedicated Web Servers Hosting

   Cloud Solutions

    Email Solutions

    Enterprise Services

    Round the clock Technical Support

www.i2k2.com

Job Overview

Fitelo is one of the fastest-growing companies. We all work together to serve our clients in the best possible way, and we like to have a lot of fun while we are at it. We are looking for an Angular Developer who will be responsible for building Single Page Applications (SPAs). 

Work Experience: Minimum 2 years 

Job Location: Mohali

Roles and Responsibilities:

• Design and implementation of the overall web architecture.
•  Integration of REST APIs, Firebase.
•  Strong problem-solving and analytical skills.
•  Ensuring high performance on mobile and desktop.

Skills Required:

• Should have expert-level knowledge of HTML5, CSS3, JavaScript/jQuery, Bootstrap, and Angular Js.
• Should have strong debugging skills on Developer Tools of the browser and Working with Cross Browser UI
• Should have experience in Response / Adoptive Web Design for desktop, tablet, and mobile- Should have solid understanding and experience with Object-Oriented design and development
• Should have experience in publishing and consuming Services using REST API
• Should have knowledge on experience in JavaScript, Typescript, and Web services.
•  

Industry Type - Wellness / Fitness / Sports / Beauty

Employment Type - Full Time/ Permanent

Education - Any Graduate or Postgraduate- Any specialization

Experience-  Minimum 2 years 

About Company

At FITELO, every day is a chance to flip the script. An invitation to take everything we know and re-invent it. Do it better. Never settle for good enough. Every day we get up, invent, adapt, improvise, find new ways to collaborate, and do the unexpected. We're a team of health care experts from doctors to dieticians to fitness coaches helping people to achieve their fitness goals. You have an immense opportunity to learn and grow under the mentorship of our team who have experience working in some of the best organizations like Price water house Coopers, Nissan, IIT, and IndusInd Bank, just to name a few.

• Partner with the product team, co-founders, and business heads to define the product vision for all our verticals (Demand, Supply, Advisory)
• Lead and mentor a team of Product Managers (PMs) to build an impactful roadmap and make it a reality in collaboration with engineering, design, and business teams.
• Define and communicate key performance indicators (KPIs), objectives, and key results to measure success; Regularly interface with ground teams, farmers, traders, etc. to get feedback on product strategy for your product area.
• Regularly share progress with execs and the larger teams against quarterly and annual goals.
• Foster a product culture for PMs, Analysts, Designers, Operations Teams, and Business teams.
• Work with engineering leadership to envision and prioritize improvements to our core product offering that is in line with our quarterly and annual goals.

• 4+ years of experience in core product management.
• Experience leading and mentoring in a product management organization.
• Experienced working with highly technical engineering and design teams and driving complex projects from ideation to successful launch.
• Expertise in setting, aligning and measuring success KPIs for large products
• All-around leader: you can create a product vision that others want to follow.
• Customer obsession: you genuinely care for our customers and deeply understand the needs of the customer ( end users, ground teams, and internal teams) and make sure that those needs are well understood by your teams.
• Problem solver: loves to figure out complex problems and constantly think about how to make processes more efficient.
• Great with data: you are data-focused, and drive the team to take decisions based on data
• A track record of partnering with cross-functional teams.
• Ability to communicate to engineers and executives in the same breath.

The expectation is to set up complete automation of CI/CD pipeline & monitoring and ensure high availability of the pipeline. The automated deployment environment can be on-prem or cloud (virtual instances, containerized and serverless). Complete test automation and ensure Security of Application as well as Infrastructure.

ROLES & RESPONSIBILITIES

Configure Jenkins with load distribution between master/slave Setting up the CI pipeline with Jenkins and Cloud(AWS or Azure) Code Build Static test (Quality & Security) Setting up Dynamic Test configuration with selenium and other tools Setting up Application and Infrastructure scanning for security. Post-deployment security plan including PEN test. Usage of RASP tool. Configure and ensure HA of the pipeline and monitoring Setting up composition analysis in the pipeline Setting up the SCM and Artifacts repository and management for branching, merging and archiving Must work in Agile environment using ALM tool like Jira DESIRED SKILLS

Extensive hands-on Continuous Integration and Continuous Delivery technology experience of .Net, Node, Java and C++ based projects(Web, mobile and Standalone). Experience configuring and managing

• ALM tools like Jira, TFS, etc.
• SCM such as GitHub, GitLab, CodeCommit
• Automation tools such as Terraform, CHEF, or Ansible
• Package repo configuration(Artifactory / Nexus), Package managers like Nuget & Chocholatey
• Database Configuration (sql & nosql), Web/Proxy Setup(IIS, Nginx, Varnish, Apache).

Deep knowledge of multiple monitoring tools and how to mine them for advanced data Prior work with Helm, Postgres, MySQL, Redis, ElasticSearch, microservices, message queues and related technologies Test Automation with Selenium / CuCumber; Setting up of test Simulators. AWS Certified Architect and/or Developer; Associate considered, Professional preferred Proficient in: Bash, Powershell, Groovy, YAML, Python, NodeJS, Web concepts such as REST APIs and Aware of MVC and SPA application design. TTD experience and quality control with Sonarqube or Checkmarx, Tics Tiobe and Coverity Thorough with Linux(Ubuntu, Debian CentOS), Docker(File/compose/volume), Kubernetes cluster setup Expert in Workflow tools: Jenkins(declarative, plugins)/TeamCity and Build Servers configuration Experience with AWS CloudFormation / CDK and delivery automation Ensure end-to-end deployments succeed and resources come up in an automated fashion Good to have ServiceNow configuration experience for collaboration

What you will get:

1. To be a part of the Core-Team 💪
2. A Chunk of ESOPs 🚀
3. Creating High Impact by Solving a Problem at Large (No one in the World has a similar product) 💥
4. High Growth Work Environment ⚙️

What we are looking for:

1. An 'Exceptional Executioner' -> Leader -> Create an Impact & Value 💰
2. Ability to take Ownership of your work
3. Past experience in leading a team