Inside Sales Executive

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!)

About Us - https://www.sibinfotech.com/

SIB Infotech is a digital marketing organization committed to boosting brand's visibility in the ever-changing online world. At SIB Infotech, we're creating immersive digital experiences that deeply engage audiences and foster meaningful connections. With a comprehensive array of services, spanning strategic Search Engine Optimization (SEO) to expert Pay-Per-Click (PPC) Management, captivating Graphic Design, compelling Social Media Marketing (SMM) strategies, and tailored Software Development solutions, we offer comprehensive assistance to help and succeed on the internet.

Exciting Opportunity for SEO Manager

We are seeking a talented and experienced SEO Manager with a focus on content optimization to lead our SEO efforts and drive organic traffic growth. As the SEO Manager, you will be responsible for developing and executing content-focused SEO strategies to improve website visibility, increase rankings, and drive quality traffic. The ideal candidate will have a proven track record of success in content optimization, strong leadership skills, and a deep understanding of SEO best practices.

Key Responsibilities:

Strategy Development

Develop and execute comprehensive SEO strategies aligned with business goals and objectives. This involves conducting thorough keyword research, competitor analysis, and industry trends assessment to identify opportunities for organic growth.

On-Page and Off -Page Optimization with link building

Optimize website content, meta tags, headings, and internal linking structure to enhance relevance and improve visibility on search engine results pages (SERPs).

Manage off-page SEO initiatives, including building high-quality backlinks from authoritative websites through outreach, content partnerships, and directory submissions. Implement link-building strategies to improve domain authority and increase organic traffic.

Technical SEO Management

Conduct technical audits of website infrastructure and address technical issues that may impact search engine rankings, such as site speed optimization, mobile responsiveness, crawl errors, and schema markup implementation. Collaborate with web development teams to implement technical SEO enhancements.

Content Strategy and Optimization

Collaborate with content creators to develop SEO-friendly content that aligns with target keywords and addresses user search intent. Optimize existing content and identify opportunities for new content creation based on keyword research and industry trends.

Performance Monitoring and Reporting

Track and analyze key SEO performance metrics, including organic traffic, keyword rankings, backlink profile, and conversion rates. Generate regular reports and dashboards to provide visibility into SEO performance and ROI. Use data-driven insights to identify areas for improvement and optimization.

Algorithm Updates and Industry Trends

Stay abreast of search engine algorithm updates, industry trends, and best practices to adapt strategies accordingly and maintain competitiveness in search results.

Client Communication and Team collaboration

Serve as the primary point of contact for clients regarding SEO initiatives, provide updates on campaign progress, address concerns, and offer strategic recommendations for improvement.

Work closely with cross-functional teams, including web developers, designers, content creators, and digital marketers, to ensure seamless integration of SEO efforts with overall digital marketing strategies.

Requirements:

• Any Bachelor's degree in marketing, business, computer science, or related field.
• 3 - 5 years of experience in SEO, with a focus on content optimization
• Proven track record of success in developing and implementing effective SEO strategies that drive measurable results.
• Strong analytical skills and the ability to interpret data and insights to make informed decisions.
• In-depth knowledge of SEO tools and software, such as Google Analytics, Google Search Console, SEMrush, Moz, etc.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and communicate effectively with stakeholders at all levels.
• Ability to stay organized, prioritize tasks, and manage multiple projects simultaneously in a fast-paced environment.

• 8+ years of experience building Web applications, APIs, Service based platforms
• Excellent command on Java/J2EE and/or Spring/Hibernate
• Strong command over REST based services and micro-services
• Good knowledge of databases such as MySQL
• Good knowledge of creating and maintaining Dev ops infrastructure on AWS or similar platforms
• Good knowledge of code repo software such as git and build management tools

• Translate designs and wireframes into high-quality code
• Design, build and maintain high performance, reusable, and reliable Java
• code
• Ensure the best possible performance, quality, and responsiveness of the
• application
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization
• Follow best practices in code implementation
• Willing to work on flexible time zones if required

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end
• services
• Strong knowledge of Android UI design principles, patterns, and best
• practices
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as touch
• Familiarity with the use of additional sensors, such as gyroscopes and
• accelerometers (preferred)
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical
• requirements
• Familiarity with cloud message APIs and push notifications –
• A knack for benchmarking and optimization
• Understanding of Google's Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration
• Must have experience in Chat (one to one, group chat, file sharing)
• Knowledge in Google Maps APIs is preferred

1. Filter criteria –
1. 7-8 years & above experience in Corporate Banking or allied areas (Mid-market, Commercial, Trade)
2. Corporate relationship and Sales ownership experience
3. Understanding of Corporate/ Commercial/ SME/ Trade Finance
4. Individual needs to be self-driven, capable of working with minimum supervision
5. This will be an acquisition and execution role, hence proven competency in these will be essential

1. Job Role –
1. Responsible for bringing in new client acquisitions and driving closure on mandates for the region
2. Understanding the key offerings of the company platform and applicability across industries
3. Marketing SCF solutions to Corporates and their Supply Chains
4. Ability to engage with a wide set of stakeholders on the Corporate side and identify opportunities
5. Engaging with the FI partners to activate and grow financing on the Network
6. Working closely with the India Corporate Sales - Head and the Network Sales teams to achieve the KRAs for the region