Graphic Design Intern

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!)

Total Yrs. of Experience

12+

Relevant Yrs. of experience

12 years

Detailed JD (Roles and Responsibilities)

Role – SAP AR/FSCM Expert

• Proven ability to engage with business process owners to understand the business needs and priorities, lead requirement gathering and analysis, and design solutions
• In depth knowledge of AR/FSCM (Collections, Dispute, Credit Management) along with upstream processes
• Solid SAP configuration experience in: FI (GL, AR), FSCM, integration with SD, incoming payments matching.
• Experience in implementing large and complex SAP Projects, solution build, configuration and delivery to meet business requirements. 
• Expert hands-on experience in developing WRICEW based on business requirements
• Preferred to have experience in cash matching apps e.g. FS2 Auto bank
• Preferred to have experience with middleware e.g. SAP PO and API technologies

Preferred to have experience with SAP Solution Manager

Mandatory skills

FSCM

Desired/ Secondary skills

FICO and FSCM

Domain

Finance

WFO/WFH/Hybrid WFO

Hybrid

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.

Requirements:

• Bachelor's degree in business management, marketing, or related field • 0 - 3 years' relevant work experience in business development or similar field preferred.

• Excellent written and verbal communication skills.

• Ability to handle multiple projects simultaneously and work under pressure.

• Proficient in Microsoft Office and relevant software.

Responsibilities:

• Identifying profitable business opportunities

• Conducting extensive market research

• Creating actionable business strategies

• Nurturing relationships with clients

• Analyzing market trends

Job Title: SEO Specialist

Location: Viman Nagar, Pune

About Us:

Webducts is a leading digital marketing agency dedicated to helping businesses thrive online. We specialize in providing comprehensive solutions to enhance our clients' online visibility and drive growth through strategic digital marketing initiatives.

Role Overview:

We are seeking a talented and experienced SEO Specialist to join our team. The ideal candidate will be responsible for driving organic traffic, improving search engine rankings, and generating leads for our clients through a combination of organic SEO and paid advertising campaigns.

Key Responsibilities:

• Develop and execute SEO strategies to improve website visibility and search engine rankings.
• Conduct keyword research, competitor analysis, and on-page optimization to enhance website performance.
• Plan and implement effective paid advertising campaigns across various platforms, including Google Ads and social media.
• Monitor and analyze website traffic, performance metrics, and campaign results to optimize strategies and achieve desired outcomes.
• Collaborate with the content team to create high-quality, SEO-friendly content that resonates with target audiences.
• Stay updated with industry trends, algorithm changes, and best practices to ensure continuous improvement in SEO and digital marketing efforts.

Requirements:

• Proven experience as an SEO Specialist or similar role, with a track record of successfully ranking websites and generating leads.
• In-depth knowledge of SEO principles, techniques, and tools (e.g., Google Analytics, SEMrush, Moz).
• Proficiency in managing paid advertising campaigns on platforms like Google Ads, Facebook Ads, and LinkedIn Ads.
• Strong analytical skills and the ability to interpret data to make informed decisions and optimizations.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• A proactive mindset with a passion for staying updated with the latest trends and developments in SEO and digital marketing.

Benefits:

• Competitive salary and performance-based incentives.
• Opportunities for professional growth and advancement.
• Flexible work environment with the option for remote work.
• Dynamic and collaborative team culture with a focus on innovation and creativity.

Join us at Webducts and be a part of our mission to help businesses thrive online!

• 2+ years of experience as a react/react-native developer
• Must have skills: ReactJS
• Deep understanding of javascript, typescript and react
• Familiarity with multiple state management techniques
• Knowledgeable about design patterns and their utility in day to day problems
• Worked on and shipped large scale react/react-native applications
• Great product sense; you care about usability and good design
• Strong communication skills
• Bonus if you have worked on Android/iOS apps or nodejs backend.

• Work collaboratively with everyone in the team to deliver best in class user experience
• Write well-crafted, well-tested, readable, maintainable code in typescript and react-native
• Implement pixel perfect designs with advanced interactions, which are a joy to use
• Implement unit and UI automation tests
• Own a feature end to end and ensure its usability
• Continuously discover, evaluate and implement new technologies to enhance user experience
• Support other developers on the team with code reviews, design feedback, and other advice and guidance

• Communicating with users
• Collecting data about user service trends
• Recording and responding to user issues
• Developing strategies to retain users
• Work closely with the product team
• have worked with tools like Moengage