District Sales Manager

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Job description

Suntek.ai is at the forefront of helping eCommerce businesses optimize their operations through advanced AI solutions and comprehensive eCommerce store management. Our goal is to empower online retailers with state-of-the-art technology that enhances efficiency and drives growth role

Overview: We are seeking a talented Frontend Shopify Developer to join our team. In this role, you will focus on creating seamless and visually appealing Shopify storefronts while optimizing the user experience. You will collaborate with designers, developers, and stakeholders to deliver high-quality eCommerce solutions that drive engagement and sales.

Key Responsibilities• Design, develop, and implement custom Shopify themes and templates.

• Optimize the user experience for Shopify storefronts using HTML, CSS, JavaScript, and Shopify’s Liquid templating language.

• Collaborate with UI/UX designers to ensure the visual and functional integrity of Shopify stores.

• Ensure Shopify stores are mobile-responsive, cross-browser compatible, and SEO-friendly.

• Integrate and customize third-party Shopify apps to meet client requirements.

• Debug, troubleshoot, and resolve front-end issues for existing Shopify stores.

• Stay up-to-date with Shopify platform updates, tools, and best practices in front-end development.

Requirements•

• Educational Background: Bachelor’s degree in Computer Science, IT, or a related field.
• • Experience: 1-2 years of experience working as a Frontend Developer with Shopify.
• • Strong proficiency in HTML, CSS, JavaScript , and Shopify’s Liquid templating language.
• • Experience working with Shopify’s theme development environment and Shopify CLI.
• • Knowledge of performance optimization techniques for Shopify storefronts.
• • Basic understanding of SEO principles and web accessibility standards.
• • Proficiency with version control tools like Git.
• - Knowledge of Shopify theme architecture
• - use of Metafield, Metaobject and their differences
• - Template creation with dynamic sections and blocks
• - Theme/Liquid code customization
• - Cart drawer/mini cart implement through liquid & JS
• - QuickView implementation
• - Third party API implementation in Liquid
• - GTM & GA integration with events
• - Shopify pixels (Customer events)
• - Checkout customization
• - Knowledge of Checkout ExtensionSkills should have - Shopify, Shopify plus, JS, JS Dom manipulation, API integration, Git, Shopify CLI.
• • Strong problem-solving skills and attention to detail.
• Nice-to-Have Skills
• • Knowledge of animations and transitions for enhanced user interactions.
• • Familiarity with back-end basics for collaboration with full-stack developers.

What We Offer

• Competitive salary

• Remote work flexibility with a supportive and collaborative team culture.

• Opportunities to work on innovative eCommerce projects with a global impact.

• Support for professional growth through training and development programs.

• Exposure to cutting-edge technology in the eCommerce domain.

1. Research for relevant resumes from various job portals

2. Shortlisting of relevant candidates and sharing it with the HR team

3. Connecting to the candidates and collecting data for analysis of the profile

4. Doing the first round of interviews to ascertain that the JD requirements are met

5. Aligning online/physical interview with the candidates with the HR/Operations team

6. Roll out offer letters & relevant joining documents and receive acceptance

7. Ascertain reporting to work on the joining date

• You're proficient in GoLang with a strong foundation in backend frameworks and databases 
• Knowing Solidity is a definite plus but not a requirement
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You have experience deploying to and implementing solutions in AWS
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency

Current Ecosystem : 
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Game: Shiba Eternity on iOS and Android

Qualification: Any Graduate or Pursuing Graduate.

Experience: Fresher -2 years

Job Description: Role as Recruiter

Roles and Responsibilities:

• Handling & routing End-to-End Recruitment from initiating the recruitment process to streamlining overall operations.
• Identify client needs on every requirement with quick response time
• Understanding the skill set required by our Corporate clients.
• Sourcing potential candidate for required skill set through various Job Portals like naukri, LinkedIn, monster, times jobs etc., existing database, internal and external references
• Conducting the preliminary interviews and briefing the candidates regarding the job profile, salary package and Organization, etc.
• Screening the candidates & forward their resumes for suitable positions based on the client’s requirements.
• Once shortlisted, scheduling the Interview, follow up and co-ordination towards clients.
• Handling on boarding process to ensure the joining formalities are carried out smoothly.
• Maintain candidate database and generate reports from time to time.

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients

Experience with Xcode, Cocoa Touch, Swift, third party Framework or libraries and iPhone SDK and React JS.

-Proficient with Swift, and Cocoa Touch.

-Good with OOPs design.

-Experience with IOS frameworks such as Core Data, Core Animation, Core Bluetooth, cocoa pods, etc.

-Experience with offline storage, threading, and performance tuning.

-Familiarity with REST APIs to connect IOS applications to back-end services.

-Understanding of apple design principles and interface guidelines.

-Experience with performance and memory tuning with tools {such as Instruments and Shark, depending on project needs}

-Familiarity with cloud message APIs and push notifications.

-Experience working with Google Map API.

-Must understand REST, JSON