SOLUTION ARCHITECT – HCI:

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

We are seeking a dynamic and results-driven Food Service Sales Lead – HORECA to grow our presence across the hotel, restaurant, café, and catering segments. This role focuses on driving revenue growth, building long-term partnerships, and expanding our footprint within the hospitality and food service ecosystem. The ideal candidate brings strong industry relationships, strategic selling expertise, and a proven ability to deliver against ambitious sales targets.

Key Responsibilities :

• Identify, onboard, and develop new HORECA and food service customers, including hotels, restaurants, cafés, and institutional caterers.
• Grow volume, revenue, and profitability across assigned food service accounts through data-driven and consultative selling approaches.
• Lead new account acquisition initiatives to strengthen market penetration.
• Execute local and national trade marketing programs to enhance brand visibility and performance.
• Assess market opportunities and translate them into sustainable sales growth and new business wins.
• Manage pricing, contracts, and commercial terms to ensure alignment with quality, cost, and service benchmarks.
• Review, approve, and optimize promotional and trade spend programs to improve ROI and brand consumption.
• Design and implement customized sales and marketing plans for key HORECA accounts.

Requirements:

• Bachelor’s degree in Hospitality Management, Food Technology, or a related discipline.
• Minimum 4 years of Sales & Marketing experience in food service, specifically handling HORECA accounts.
• Established network and strong relationships within the food service and hospitality industry.
• Ability to engage and negotiate with stakeholders across levels—from chefs and catering managers to procurement and buyers.
• Consistent track record of meeting or exceeding sales and revenue targets.
• Excellent verbal communication and relationship-management skills.
• Demonstrated experience in market development and driving measurable business growth.

ROLE/SKILLS:

• Design, estimate, and code new features. This is primarily a coding position.
• Architect new applications, and expand existing ones.
• Collaborate on enterprise architecture with other teams at Internet Brands.
• Investigate and fix production issues.
• Define, document, and enforce engineering standards.
• Perform code reviews of your team members’ work.
• Mentor junior engineers.
• Participate in software design discussions.
• Participate in sprint planning and other project management meetings.
• Ensure all code that goes to production is of top quality.
• Ensure existing applications are scaled to meet expected demand.
• Identify and fix gaps in system reliability, such as production monitoring.
• Continuously improve the software infrastructure, such as the deployment process.

REQUIRED EXPERIENCE:

• 4+ years with object-oriented programming in PHP.
• 4+ years with front-end technologies such as JavaScript, HTML, and CSS.
• Complex SQL queries and database schema design.
• MVC frameworks (Laravel, Yii).
• Experience with modern server components (Memcache, Redis, ActiveMQ, Solr)
• Working in a collaborative team environment using tools like JIRA and Git.
• Consuming and creating web services.
• Stable work history and an ability to collaborate effectively.

• Expert knowledge in WordPress installation, configuration, Administration, security, and optimization.
• Experience with WordPress Theme, Widgets and Plugin customizing and developing new wordpress themes, Plugin modification/development and widgets development.
• Strong understanding and hands-on in HTML, DHTML, XML, CSS, JavaScript, JQuery/Prototype and AJAX.
• Develop high performance, highly scalable, custom development and/or plugin development for WordPress sites
• Experience with parent themes, caching systems (WP Super Cache, W3 Total Cache etc.), HyperDB, Yoast SEO.
• Strong PHP background to implement core WP functions, template tags & hooks in the theme.
• Experience in common third-party APIs (Google, Facebook, ebay etc)
• Very strong understanding of database technologies and SQL Optimization.

What is expected from you:

● Strong Corporate Training selling skills including excellent relationship-building, networking, and time-management skills

● Excellent in Business communications and email etiquette

● Exposure to LinkedIn and other portals

● Ability to generate B2B leads

● Experience in Lead Research and Prospecting

● Experience in cold calling, email campaigns, and using social media to generate leads.

● Data Maintenance and organization skills

● MBA qualification or Experience in Business development is preferred ● Any exposure to IT Training & Talent Acquisition will be an added advantage

● Previous sales experience in a B2B environment.

What will you be doing?

● Conduct Market Research on the company and understand the need of the training needs

● Acquire new clients through networking, direct contact, or marketing campaigns

● Sending 40 to 50 emails customizing to each client

● Good at researching the email id, and contact number of the concerned person

● Close sales and achieve quarterly quotas.

● Build and nurture client relationships via various channels

● Coordinating with multiple internal stakeholders on daily basis

● Develop and implement marketing plans designed to maintain and increase existing business and capture new opportunities

Role Title: Developer - Guidewire Integration-Config

Role Purpose

We are looking for a Developer for our Claims Guidewire team, who is a technology enthusiast, and eager to be part of a culture of modern software engineering practices, continuous improvement, and innovation.

As a Developer, you will be part of a dynamic engineering team and work on development, maintenance, and transformation of our strategic Claims Guidewire platform. You will learn about software applications, technology stack, ways of working and standards.

Key Accountabilities

·        Deliver software development tasks for Claims Guidewire applications, in the areas of Integration and Configuration, with expected quality measures and timeframe, e.g., coding, writing unit test cases (G-Unit) and unit testing, debugging and defect fixing, providing test support, providing release support.

·        Communicate with technical leads and IT groups for understanding the project’s technical implications, dependencies, and potential conflicts.

·        Research issues reported in Production, perform root cause analysis and document them, respond to and resolve technical issues in a timely manner.

·        Perform versioning of the release updates and resolve the code conflicts while merging and promoting the code to higher environments.

·        Develop their technical and functional knowledge on Claims Digital Guidewire platform.

·        Understand and follow Guidewire’s cloud standards for application development.

·        Active participation in team meetings like daily stand-ups, risk forums, planning sessions and retrospectives.

Skills & Experience

·        3+ years of development experience on Guidewire cloud platform and applications, Guidewire certification preferred.

·        Hands on development expertise on Guidewire ClaimCentre with configuration and integration

·        Experience in Guidewire platform (Gosu scripting / Edge APIs / UI / Data Model)

·        Should have knowledge on Admin data loading, Assignment and Segmentation Rules, Pre-update and Validation rules, Authority limits, Financials (checks, reserves, recoveries …)

·        Good experience on LOB configuration and related type-lists

·        Good experience on integration components including plug-ins, messaging (and supporting business rules), batches, REST APIs and programs that call the Guidewire application APIs.

·        Experience on any database Oracle / SQL Server and well versed in SQL.

·        Experience of working in a CI/CD setup and related tools/technologies

·        Insurance domain knowledge with Property & Casualty background preferred.

Location- Gurugram

CTC- Upto 25lpa

Exceleron Software is looking for a Perl developer to join our development team.

**This is a fully remote position, even after COVID!**

Exceleron Software provides an integrated energy utility customer engagement suite consisting of Online and Cash Payments, Customer Alerts, Prepay Billing, Online Bill Presentment, Usage Monitoring, and a Mobile App (for both iOS and Android) in both the United States and India.

We have passionate, fun-loving, and exciting people at Exceleron in India and the US. We are looking for people who can have fun at work. We are looking for people with strong communication skills (you should be able to talk about Technology with ease) and be someone who works well as part of a team and enjoys sharing ideas and debating technical options.

You will be expected to provide input in the design of systems and can even provide an opinion on front-end design issues.

Core modules used in our systems: Catalyst, DBIx::Class, Template::Toolkit, Plack, Test::More, Moose, PDF::API2 along with many others. Should have experience in writing tests and doing code reviews and participating in test-driven development. You are also likely to have several CPAN modules, and follow the latest technical developments

Desired Candidate Profile

1) 3-8 years experience in Perl Development with a working knowledge of the following web

2) development stack: HTML/XHTML, CSS, JavaScript, Apache/Nginx Extensive experience with OO Perl

3) Proficient with building/managing relational databases

4) Any perl based web frameworks (Mojolicious, Catalyst, Dancer, CGI Application, or anything else)

*Preference will be given to Active contributors to Perl Mongers/ Programming/Hacking Discussions.

We are looking for someone having 4-7 years of experience in Android development with good work experience in writing & debugging Android applications, experience in OOPs fundamentals, Java, Kotlin, SQLite, MySQL database management system.

Responsibilities 

- Be involved in all aspects of development: playing a critical role in design, planning, development and deployment and help develop best practices for future development.

- Fast prototyping of proof-of concept features/applications based on a brief.

- Develop and maintain new features in Mobile Application development.

- Own the delivery of an entire piece of a system or application.

- Use technical knowledge and creative thinking to provide the most innovative solutions.

- Optimize the performance of the apps and keeping up to date with the latest industry trends in mobile technologies.

Technical Skills

- Comprehensive understanding of Android application architecture, Activities, Services, Intents, Content.

- Strong Kotlin development experience

- Strong OO design and programming skills in Java (J2EE/ J2ME)

- Familiar with the Android SDK and Studio.

- Experience in web service integration (SOAP, REST, JSON, XML) is desired.

- Architecture: MVP, MVC.

Non-Technical Skills

- Must have excellent oral and written communication skills

- Must be dedicated to delivering high-quality work and adhering to timelines

- Must be a good team player, good learner and a self-starter

- Must have the ability to work independently

- Must have good analytical and problem-solving skills