Network support engineer

Experience: 5+ years production software engineering, with 2+ years working directly on LLM or agent systems in production. 

Location: Remote 

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Why This Role Matters

Terrabase builds agent infrastructure that enterprise customers rely on daily for SQL generation, forecasting, data analysis, and artifact delivery. Our orchestration layer routes between specialized sub-agents, manages typed handoff contracts, runs structured eval suites, and enforces correctness across every turn.

This is not a research-prototype role. You will build and evolve agent architecture, but always in service of making the system observable, typed, evaluated, recoverable, and boringly reliable in production.

What You Will Do

Own the harness architecture and middleware stack. Our LangGraph orchestrator routes between sub-agents through a layered middleware stack: file upload handling, source resolution, local context, workspace sync, state hydration, aggregation barriers, and typed handoff contracts. You will extend this stack, enforce its contracts in code, and keep it operational as routing logic and agent surfaces evolve.

Maintain typed contracts and boundaries. Agent handoffs at Terrabase carry typed contracts with barrier conditions and retry predicates. You will design these contracts, enforce them with strict typing, manage backward compatibility when contracts change, and write the contract tests that prevent silent regressions.

Own the eval suites. We run structured eval suites across routing decisions, context-resolution accuracy, multi-turn coherence, visual reference alignment, and artifact correctness. You will extend coverage, write new evals where gaps exist, and build CI gates that block releases when regressions are detected. A routing change or prompt change with no eval coverage does not ship.

Triage production failures and close the loop. When an agent turn fails in production, you will trace it in LangSmith, identify the failure class, and convert it into a durable regression test. You will own the release gates, keep prompts and runtime contracts in sync, manage feature flag rollout risk, and remove dead paths as the system evolves.

Own SQL and artifact correctness. Our agents generate SQL over customer schemas and produce structured artifacts (reports, dashboards, data sheets) under a strict schema contract. You will own the correctness layer: source grounding, schema-aware validation, provenance surfaces, and the eval infrastructure that catches generated artifact failures before they reach customers.

Build and maintain HITL workflows. Human-in-the-loop checkpoints let users intervene, redirect, or approve mid-chain. You will design these workflows, enforce their resumable state contracts, and ensure they degrade gracefully when interrupted.

Instrument for traceability. You will extend LangSmith tracing coverage, add structured span annotations, and build the tooling that lets us diagnose a bad agent turn from production trace data alone, without requiring a local reproduction.

What We Are Looking For

• 5+ years production software engineering, with strong Python fundamentals
• 2+ years working hands-on with LLM-based systems: agent loops, tool use, context management, or inference pipelines
• Experience with LangGraph, LangChain, OpenAI/Anthropic tool-use systems, or equivalent multi-step agent/runtime orchestration
• Practical eval engineering: you have built or extended eval harnesses, written automated test cases for agent behavior, and treated evaluation as an ongoing engineering discipline
• Strong engineering hygiene: strict typing, small interfaces, contract tests, clear schema migrations, and CI discipline
• Ability to debug from production traces and artifacts, not only local reproductions
• Comfort working across prompts, Python runtime code, TypeScript product surfaces, data systems, and eval infrastructure
• Systems thinking: you design for observability, recovery, and state management, not just the happy path
• Maintenance ownership mindset: you triage, close loops, and leave systems more debuggable than you found them
• Pragmatic judgment: you can distinguish between reliability-critical infrastructure and speculative abstraction

Bonus Points

• HITL workflow design: checkpoints, approvals, mid-chain interrupts, resumable state
• Context engineering depth: chunking strategies, retrieval-augmented generation, semantic routing, re-ranking
• Experience with LangSmith, Weights and Biases, or similar trace and evaluation platforms
• Prior work shipping agent systems to enterprise customers where SQL or data correctness is a hard requirement
• Experience with mypy, Pydantic contracts, or strict typing disciplines in a production Python codebase

Life at Terrabase

We are a sharp, focused, fully remote team building agent infrastructure that enterprise customers trust with their data. You will work directly alongside the engineer who designed this harness, with broad ownership, generous compute budgets, and a culture that treats reliability as a product requirement, not a research topic.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

Printrove is India’s leading Print-on-Demand dropshipping platform, powering 12,000+ merchants with seamless integrations, fast fulfillment, and a vast product range. We exist to empower “Merchpreneurs” — artists, creators, entrepreneurs, and startups — to bring their brand ideas to life without worrying about operations. 

We are now looking for a Customer Success Executive who can own the merchant journey, solve problems with empathy, and ensure that every merchant scales confidently with Printrove.

Role Overview:

The Customer Success Executive will be the first line of interaction for our merchants, combining customer support excellence with proactive success ownership. You will ensure merchants feel supported, resolve operational queries quickly, and guide them towards using Printrove effectively to grow their business.

This role is critical as you’ll act as the bridge between our merchants and internal teams (operations, sales, product).

Key Responsibilities:

Customer Support (Reactive):

• Respond to merchant tickets and inquiries on Zoho Desk with empathy and accuracy.
• Troubleshoot operational issues such as orders, printing, shipping, or integrations.
• Escalate recurring or critical issues to the operations/product teams and ensure closure.

Customer Success (Proactive):

• Onboard new merchants smoothly — guide them through integrations, catalog access, and first sample orders.
• Nudge merchants towards success milestones (placing their first order, upgrading to Business Plan, scaling monthly orders).
• Track merchant health metrics (order frequency, repeat rates, quality issues) and follow up proactively.
• Collaborate with the Sales/KAM team to upsell or cross-sell relevant products and services.

Collaboration & Ownership:

• Document recurring issues, feedback, and feature requests into Zoho CRM/ClickUp.
• Partner with Operations to resolve root causes of quality or shipping complaints.
• Support Marketing in community campaigns, webinars, and engagement initiatives for merchants.
• Continuously improve knowledge base, playbooks, and SOPs to make merchant support more efficient.

What Success Looks Like

• Merchant queries are resolved quickly with minimal escalations.
• New merchants complete onboarding smoothly and place their first orders.
• Merchant retention improves — fewer churns, more merchants cross higher order volumes.
• Proactive merchant engagement (check-ins, nudges) leads to measurable increases in Business Plan upgrades or repeat orders.

What We’re Looking For

• 1–3 years of experience in Customer Support / Customer Success roles, ideally in SaaS, eCommerce, or D2C.
• Strong communication skills in English (Hindi/Tamil a plus).
• Empathy-driven — ability to listen, understand, and solve problems like a partner.
• Comfortable with tools like Zoho Desk, Zoho CRM, ClickUp, and Shopify/WooCommerce.
• Proactive, process-oriented, and thrives in a fast-paced startup environment.

Why Join Printrove?

• Be part of a movement of Merchpreneurs shaping India’s eCommerce ecosystem.
• Own impactful work — you’re not just answering queries, you’re driving merchant growth.
• Work with a team that values innovation, integrity, ownership, curiosity, empathy, and empowerment.
• Opportunity to grow into Key Account Management or Customer Success Manager roles as we scale.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Role Overview:

As our Clinical Quality Analyst, you will play a pivotal role in enhancing clinical processes and maintaining regulatory compliance. You will spearhead quality improvement initiatives and ensure adherence to established clinical standards. The role demands a meticulous approach and a commitment to clinical excellence.

Responsibilities:

• Clinical Process Enhancement: Evaluate clinical procedures and documentation to identify areas for improvement, ensuring adherence to industry standards.
• Audits and Assessments: Conduct compliance audits and assessments to provide continuous improvement feedback and maintain industry compliance.
• Team Collaboration: Collaborate with clinical teams, guiding them on best practices and fostering a culture of clinical excellence.
• Data Analysis: Collect, analyze, and interpret clinical quality data and metrics for performance evaluation and decision-making.
• Client Audit Preparedness: Prepare and engage in client audits, including regular mock audits, ensuring preparedness and compliance.
• Reporting and Recommendations: Create comprehensive reports and presentations on quality findings, suggesting enhancement strategies.
• Quality Initiative Support: Assist in developing and implementing initiatives focused on enhancing quality standards.
• Regulatory Adherence: Stay updated on industry regulations, clinical guidelines, and best practices to ensure compliance and innovation.
• Effective Communication: Communicate quality-related issues and recommendations to stakeholders efficiently.
• Training Participation: Engage in quality-focused training and educational programs for continuous professional development.

Qualifications:

• BAMS, BHMS, BDS
• 1–5 years of clinical or healthcare setting experience.
• Profound knowledge of medical terminology and clinical processes.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Excellent English communication, written and verbal.
• Strong attention to detail and analytical skills for complex data handling.
• Willing to work in both day and night shifts from our office at Elippode, Trivandrum.

About Us

Rezo.ai is an AI-first and NLP-first sales & support automation platform with a mission to become the leading automation/AI platform in the world. Our team has extensive experience in AI and Automation and is working extremely hard to build a state-of-art automation platform. Currently, deployed with large enterprises to automate conversations across voice, email, chat, social, and WhatsApp and enhance customer experience.

What we are Looking for:-

We are looking for a graphic designer to join our team. You will be designing a wide variety of things across digital and offline media. To be successful in this position, you’ll be a self-starter, capable of delivering brilliant creative ideas, and show amazing attention to detail.

Requirements:-

• 2+ years of experience as a graphic designer or in a related field.
• Demonstrable graphic design skills with a strong portfolio.
• Proficient in Adobe Photoshop and Illustrator 
• Knowledge of Coreldraw, WordPress, Figma/XD and HTML will add an advantage 

Role and responsibilities:- 

• Have an impeccable taste and a compulsive eye for detail 
• Create design assets like banners, emailers, brochures, GIFS, social media creatives,  iconography and typography. 
• Maintain graphic design guidelines and brand identity of Rezo.ai 
• Collaborating and coordinating with internal teams of HR & Marketing 
• Delivery of high-quality, innovative concepts from creative briefs to create artwork for Brands and campaigns. 

Kruzr is building a virtual assistant to help drivers be safe on roads. We help drivers manage distractions in a safe manner, drive in a safe speed range, and avoid drowsy driving and accident prone zones. Our platform also provides deep insights into driver behaviour for better understanding and modelling of risk.

We provide our technology as a platform to motor insurance companies, and now expanding into fleets and ride sharing, to help them reduce accidents and get better visibility of their risk exposure.

We are looking for a product manager to own and manage the product, based out of our Bangalore location.

The key responsibilities we are looking for are:

1. Identifying consumer (drivers) and client (insurance and other partners) and inculcate that into our product roadmap
2. Work with the engineering leads to translate the product roadmap into technical specs
3. Work with the business team to define the product strategy and build and own the product roadmap
4. Define the product metrics and lead a team of product analysts to continuously evolve each feature for maximum customer adoption and growth.
5. Maintain a prioritised backlog and execute efficiently to deliver a great experience for customers
6. Gather feedback from customers and clients to continuously improve the product features.
7. Manage product release cycles

The key traits we are looking for are:

1. You should have the technical knowledge to understand how products are built and have a keen eye for product design and user experience.
2. You should be a master communicator to help the dev team understand the details of the product and ensure the product or feature shipped is as designed and envisioned.
3. You should be diligent and disciplined in your approach.

You must have:

1. 3+ years of product management at a software or mobile technology company
2. Demonstrated success in delivering compelling products in a fast-growing, dynamic environment
3. Strong business acumen, are customer focused, and results-oriented
4. Experience crafting easy to use, delightful user interfaces