Pega

Key Responsibilities

• Design, develop, test, and deploy robust Java-based applications.
• Build and maintain scalable RESTful APIs and Microservices.
• Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders.
• Optimize application performance and troubleshoot production issues.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Develop secure and high-performance applications.
• Contribute to CI/CD pipeline implementation and automation.

Required Skills

• 5+ years of experience in Java development.
• Strong knowledge of Java 8/11/17 and Object-Oriented Programming concepts.
• Experience with Spring Boot, Spring MVC, Spring Data JPA, Hibernate.
• Hands-on experience in Microservices Architecture.
• Strong expertise in designing and consuming REST APIs.
• Experience with SQL databases (Oracle, MySQL, PostgreSQL).
• Knowledge of Git, Maven/Gradle, and version control practices.
• Experience with Kafka/RabbitMQ or other messaging platforms.
• Understanding of design patterns and software development best practices.
• Familiarity with Agile/Scrum methodologies.

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 Development:

● Develop, test, and deploy high-quality software solutions across front-end and back-end stacks.

● Implement responsive and dynamic web applications using JavaScript, Angular, or React. 

● Ensure backend services and APIs are well-structured and optimized for performance. 

Collaboration and Stakeholder Management: 

● Work closely with product managers, designers, and engineers to define technical requirements. 

● Participate in code reviews and provide technical mentorship to junior developers. 

Technical Expertise:

● Implement and maintain secure, scalable, and high-performance applications. 

● Ensure applications meet non-functional requirements such as security, reliability, and performance.

 Agile Execution & Continuous Improvement: 

● Contribute to Agile development practices, including iterative releases and continuous integration. 

● Identify opportunities for technical improvements and optimize existing features  

 Required Skills and Qualifications 

● Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field. 

● 6+ years of professional experience in Full Stack Development. 

● Strong proficiency in Java, JavaScript, Angular, React, and RESTful APIs. 

● Experience with CI/CD pipelines and DevOps tools for continuous deployment.

 ● Knowledge of containerization and cloud platforms such as AWS, Azure, or GCP. 

● Proficiency in databases such as MongoDB, SQL, and NoSQL. 

● Strong analytical, problem-solving, and debugging skills. 

● Experience with Agile frameworks like Scrum or Kanban.  

Job description

As a Business Development Executive, you will be responsible for driving the company's growth by identifying new business opportunities, building strong client relationships, and promoting the company's IT services and solutions. Your primary focus will be on expanding the customer base and fostering long-term partnerships.

Position Name: BDE (Business Development Executive

Required Experience: 1 to 4 years

Working Mode: Working From Office (on-site)

Location: Ahmedabad Gujarat (Prahlad Nagar)

No of Position: 4+

Must have:

• Lead Generation and Management
• Client Communication, Relationship Handling
• Sales Strategy Development
• Negotiation and Closing Skills, Market and Industry Knowledge
• Time Management and Organization
• Analytical and Problem-Solving Skills
• Technical Proficiency
• Adaptability and Resilience
• Collaboration and Customer-Centric Approach
• CRM experience
• Experience in the complete sales cycle including deal closing

Roles & Responsibilities :

• Conduct market research to identify potential clients and business opportunities.
• Generate leads through online research, networking, and cold calling.
• Contact potential clients via email, phone, and social media to introduce our products and services.
• Assist in setting up and attending client meetings and presentations.
• Support the sales team with proposals and presentations.
• Maintain and update the CRM system.
• Build and maintain strong client relationships.
• Prepare regular sales activity reports

Skills :

• Required Excellent Communication with verbal and written skills
• Candidate should require experience in Domestic and International domains.
• Relationship Building & Market Research analysis.
• Candidate should be problem-solving and can work independently
• Customer Relationship Management.
• Experience with client handling, client management, and closing the deal.
• Lead Generation and cold calling experience will be preferable.

Qualifications:

Bachelor's degree in BTech, MCA, BCA, MTech, MBA, BBA Pass out can apply.

Benefits:

• 5 days working Culture
• Team Outing and Team Building Activities
• Soft Skills Development Training and sessions
• Leave Encashment
• Flexible Working Hours
• Employee Engagement Activities
• Get a chance to work on Latest Technology
• Open Communication Policy
• No laid off during covid 19 time
• Job Security and Stability

Company Overview:

At TechUp Labs, we're searching for a dynamic Business Development Manager who can drive strategic alliances and foster growth for our innovative products and initiatives. As a product-based IT company, we specialise in developing cutting-edge solutions across various domains such as health, education, sports, and beyond.

About the Job:

You will play a pivotal role in identifying, developing, and managing strategic partnerships that drive growth and expand our market presence. Collaborating closely with cross-functional teams, you'll be responsible for creating and executing partnership strategies that enhance our product offerings and create new business opportunities.

Key Responsibilities:

• Develop and implement a comprehensive partnership strategy to drive growth and achieve company objectives.
• Identify, evaluate, and negotiate strategic partnerships with key technology companies, industry leaders, and other relevant stakeholders.
• Build and maintain strong relationships with partners, understanding their business needs and aligning them with our solutions.
• Collaborate with product managers, sales, marketing, and engineering teams to integrate partner solutions and co-develop new offerings.
• Create joint marketing and go-to-market strategies to maximize partnership impact and reach.
• Monitor and analyze partnership performance, providing regular reports and insights to senior management.
• Stay updated on industry trends, emerging technologies, and competitive landscapes to inform partnership development.
• Represent TechUp Labs at industry events, conferences, and meetings to build and enhance our network of partners.
• Drive continuous improvement in partnership processes and strategies to enhance efficiency and effectiveness.

Required Skills and Qualifications:

• Has worked in the past as a developer or has a good knowledge of technology
• Good experience with everything related to sales and a bit of marketing
• Experience working in a service-based industry
• Proven experience in a growth-focused role with a strong track record of developing and managing successful B2B tech partnerships.
• Exceptional negotiation and relationship-building skills.
• Strong strategic thinking and business development acumen.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and interpersonal skills to effectively engage with partners and internal stakeholders.
• Bachelor's degree in Business, Sales, Technology, or a related field (or equivalent experience).

Preferred Qualifications:

• Experience in the SaaS industry or technology startup environment.
• Familiarity with content marketing strategies and analytics platforms.
• Previous experience in driving growth initiatives.
• Portfolio showcasing successful partnership initiatives and their impact on business growth.

About You:

We're looking for candidates passionate about technology and growth, with a knack for building strategic alliances. You should be innovative, adaptable, and eager to drive business success in a collaborative and dynamic environment.

Benefits:

• Remote job with flexibility to work from anywhere.
• Competitive benefits package to support a healthy work-life balance.
• Opportunities for professional growth and skill development.

How to Apply:

Please submit your resume highlighting your relevant experience and why you're interested in joining our team. Feel free to include links to your portfolio or any relevant work samples that demonstrate your expertise in partnership development.

Additional Notes:

We're committed to fostering a diverse and inclusive workplace. We encourage individuals from all backgrounds to apply for this opportunity.

Next Steps:

Qualified candidates will be contacted for an initial interview with our hiring team.

Shortlisted candidates will participate in additional interviews to assess partnership skills and cultural fit.

We look forward to receiving your application and welcoming a talented Head of Growth - B2B Tech Partnerships to our team!

P.S. We have a BYOD (Bring Your Own Device) policy. If you have a personal system with 8GB RAM & i5 processor or more, we are good to go!

RESPONSIBILITIES:-

 candidate must have good English communication skills. 

 have good knowledge in basic computer and Microsoft excel. 

 good knowledge in LinkedIn, google and other social media tools. 

• Creates marketing and social media campaigns and strategies, including budget planning, content ideation, and implementation schedules
• Understanding of SEO and web traffic metric
• Social Media Strategist using social media for brand awareness and impressions
• Excellent knowledge of Facebook, Twitter, LinkedIn, Pinterest, Instagram, Google+ and other social media best practices
• Critical thinker and problem-solving skills
• Collects customer data and analyses interactions and visits, plus uses this information to create comprehensive reports and improve future marketing strategies and campaigns
• Reports progress to senior marketing management
• Grows and expands company social media presence into new social media platforms, plus increases presence on existing platforms including Facebook, LinkedIn, Twitter, and Instagram
• Researches and monitors activity of company competitors
• Creates and distributes engaging written or graphic content in the form of e-newsletters, web page and blog content, or social media messages
• Provide constructive feedback
• Ability to interact with varied cultures
• Energetic, Confident, and Motivated & Self- driven

• Job Type: Full-time
• Experience: 3+ year
• Working Days: Mon to Sat (Except 1st, 3rd and 5th will be have off)
• Salary: Up to 35K
• Work Location: 801, Anand Mangal 3 opp. core Biotech, Rajnagar club Lane, Nr. Municipal school Ambawadi Ahmedabad Gujarat- 380006

• Design and develop cloud native enterprise applications 
• Define and establish conventions, standards and best practices for the SDLC process and ensure that quality control is of paramount importance at each step of the development life cycle
• Develop reusable frameworks and libraries that can drastically accelerate new application development in the future
• Participate in the requirement analysis and gathering process and also perform sit-withs with business teams to ensure there is full clarity of the problem statement
• Actively engage wih infrastructure team and take ownership of DevOps processes to ensure that build and deployment processes are efficient and optimal.
• Actively engage with project stakeholders to ensure all are in sync with the progress, risks and issues
• Quickly learn and adopt cutting edge technologies to help keep the org ahead of the curve