
About Agile Enterprise Solutions Inc
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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!)
2-3 years of sales coordination experience.
- Excellent communication and interpersonal skills.
- Strong organizational and time management skills.
- Ability to work in a fast-paced environment.
- Proficiency in CRM software and Microsoft Office.
- Strong analytical and problem-solving skills.
RESPONSIBILITIES & DUTIES:
• Coordinate executive communications, including taking calls, responding to emails and interfacing with clients.
• Prepare internal and external corporate documents for team members and industry partners.
• Schedule meetings and appointments and manage travel itineraries.
• Arrange corporate events to take place outside of the workplace, such as fund-raising events and staff appreciation events. • Maintain an organized filing system of paper and electronic documents.
• Uphold a strict level of confidentiality.
• Develop and sustain a level of professionalism among staff and clientele.
QUALIFICATIONS & SKILLS:
• Minimum of 2+ years of experience as an Executive Assistant reporting directly to senior management.
• Advanced Microsoft Office skills, with the ability to become familiar with firm-specific programs and software.
• Proficiency in collaboration and delegation of duties.
• Strong organizational, project management, and problem-solving skills with impeccable multi-tasking abilities.
• Exceptional interpersonal skills.
• Friendly and professional demeanor.
Responsibilities:
Design, develop and maintain software applications using Java programming language
Write well-designed, testable, efficient code
Collaborate with cross-functional teams to identify, prioritize and execute tasks in a timely manner
Troubleshoot and debug software issues
Ensure software quality by performing thorough testing and code reviews
Keep up-to-date with new technologies and programming languages
Participate in the full software development lifecycle, including planning, designing, coding, testing, and deploying software
Document software development processes, procedures and code changes
Provide technical guidance to team members
Requirements:
Bachelor's degree in Computer Science or related field
Minimum of 3 years of experience in Java development
Strong knowledge of Java programming language and related frameworks (Spring, Hibernate, etc.)
Proficient in using development tools (Eclipse, IntelliJ IDEA, etc.)
Experience with relational databases (Oracle, MySQL, etc.)
Familiarity with software development methodologies (Agile, Scrum, etc.)
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
Preferred Qualifications:
Master's degree in Computer Science or related field
Experience with microservices architecture
Familiarity with front-end technologies (HTML, CSS, JavaScript, etc.)
Knowledge of cloud computing platforms (AWS, Azure, etc.)
Experience with DevOps practices and tools (Jenkins, Docker, Kubernetes, etc.)



Senior .NET Cloud (Azure) Practitioner
Job Description Experience: 5-12 years (approx.)
Education: B-Tech/MCA
Mandatory Skills
- Strong Restful API, Micro-services development experience using ASP.NET CORE Web APIs (C#);
- Must have exceptionally good software design and programming skills in .Net Core (.NET 3.X, .NET 6) Platform, C#, ASP.net MVC, ASP.net Web API (RESTful), Entity Framework & LINQ
- Good working knowledge on Azure Functions, Docker, and containers
- Expertise in Microsoft Azure Platform - Azure Functions, Application Gateway, API Management, Redis Cache, App Services, Azure Kubernetes, CosmosDB, Azure Search, Azure Service Bus, Function Apps, Azure Storage Accounts, Azure KeyVault, Azure Log Analytics, Azure Active Directory, Application Insights, Azure SQL Database, Azure IoT, Azure Event Hubs, Azure Data Factory, Virtual Networks and networking.
- Strong SQL Server expertise and familiarity with Azure Cosmos DB, Azure (Blob, Table, queue) storage, Azure SQL etc
- Experienced in Test-Driven Development, unit testing libraries, testing frameworks.
- Good knowledge of Object Oriented programming, including Design Patterns
- Cloud Architecture - Technical knowledge and implementation experience using common cloud architecture, enabling components, and deployment platforms.
- Excellent written and oral communication skills, along with the proven ability to work as a team with other disciplines outside of engineering are a must
- Solid analytical, problem-solving and troubleshooting skills
Desirable Skills:
- Certified Azure Solution Architect Expert
- https://ind01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcloudacademy.com%2Flearning-paths%2Faz-900-exam-preparation-microsoft-azure-fundamentals-524%2F&data=05%7C01%7C%7Ce2e481ab8ccc4c589ba408dad36c9f29%7Ce9cb3c8041564c39a7fe68fe427a3d46%7C1%7C0%7C638054760717910671%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=TmO1fonUFFgb8LzUJHbL8IyOdQeUKdw6xHMM2asosiw%3D&reserved=0" target="_blank">Microsoft Certified: Azure – Fundamentals Exam AZ-900
- https://ind01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcloudacademy.com%2Flearning-paths%2Faz-104-exam-preparation-microsoft-azure-administrator-1-1332%2F&data=05%7C01%7C%7Ce2e481ab8ccc4c589ba408dad36c9f29%7Ce9cb3c8041564c39a7fe68fe427a3d46%7C1%7C0%7C638054760718066923%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EQPg%2FXxTdiYUCKCAvItXy6TY89udGTIehQ0m9irkGRk%3D&reserved=0" target="_blank">Microsoft Certified: Azure Administrator – Associate Exam AZ-104
- https://ind01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcloudacademy.com%2Flearning-paths%2Faz-204-exam-preparation-developing-solutions-for-microsoft-azure-1208%2F&data=05%7C01%7C%7Ce2e481ab8ccc4c589ba408dad36c9f29%7Ce9cb3c8041564c39a7fe68fe427a3d46%7C1%7C0%7C638054760718066923%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2BnosXa4TdBUG4jrqP%2B0%2FOikDbQMBNqzuDpvGoUk0IE8%3D&reserved=0" target="_blank">Microsoft Certified: Azure Developer – Associate Exam AZ-204
- https://ind01.safelinks.protection.outlook.com/?url=https%3A%2F%2Facloudguru.com%2Fblog%2Fengineering%2Fwhich-azure-certification-is-right-for-me%23devops-engineer&data=05%7C01%7C%7Ce2e481ab8ccc4c589ba408dad36c9f29%7Ce9cb3c8041564c39a7fe68fe427a3d46%7C1%7C0%7C638054760718066923%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=NZyP%2F3Euh1SkHfB7896ovm0HDt0vA8UgfHUvTBN4SPM%3D&reserved=0" target="_blank">Microsoft Certified: DevOps Engineer Expert (AZ-400)
- https://ind01.safelinks.protection.outlook.com/?url=https%3A%2F%2Facloudguru.com%2Fblog%2Fengineering%2Fwhich-azure-certification-is-right-for-me%23solutions-architect&data=05%7C01%7C%7Ce2e481ab8ccc4c589ba408dad36c9f29%7Ce9cb3c8041564c39a7fe68fe427a3d46%7C1%7C0%7C638054760718066923%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=0infaLzjjPThGGkzwu50jJXikppcC8trnsLGtAoB7S4%3D&reserved=0" target="_blank">Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Good understanding of software architecture, scalability, resilience, performance;
- Working knowledge of automation tools such as Azure DevOps, Azure Pipeline or Jenkins or similar
Roles & Responsibilities
- Defining best practices & standards for usage of libraries, frameworks and other tools being used;
- Architecture, design, and implementation of software from development, delivery, and releases.
- Breakdown complex requirements into independent architectural components, modules, tasks and strategies and collaborate with peer leadership through the full software development lifecycle to deliver top quality, on time and within budget.
- Demonstrate excellent communications with stakeholders regarding delivery goals, objectives, deliverables, plans and status throughout the software development lifecycle.
- Should be able to work with various stakeholders (Architects/Product Owners/Leadership) as well as team - Lead/ Principal/ Individual Contributor for Web UI/ Front End Development;
- Should be able to work in an agile, dynamic team environment;
Job Description:
To ensure correct accounting of revenue. Manage end to end order to cash accounting
including but not limited to billing and accounting treatment of revenues, customer
master data, collections accounting, bad debt provisioning, debtor ageing.
Reconciliation of collections with the revenue master data and identifying exceptions
therein for the resolutions after discussions with ops teams;
Strong reconciliation abilities and extraction of data from various files for finalization of
revenue;
Posting sales entries in the Accounting system to ensure all are captured and
appropriately recognized for reporting;
Perform periodical Balance sheet reconciliation of control accounts, bank accounts and
all asset /debtor accounts;
Liaison with other Finance team members to ensure the integrity of accounts;
Ensure all collected payments are presented for posting within collection deadlines;
Debtors ageing and follow ups with the clients for timely collections;
Keeping a track of cash inflow and revenue projections.
Ensure closure of operational/month-end activities including data inputs for the MIS
preparation within strict timeframes;
Liasioning with the banks for the cash management and reconciliations on timely basis;
Accounting of all the bank transactions on a daily basis for reconciliation of accounts and
investments made by the company.
Education:
- Semi-Qualified CA/ MBA/ M.Com with atleast 3-4 years of experience (excluding training period) working in receivables department of a company (e-commerce company preferably); B.Com with 5-7 year experience.
- Proficient in Tally accounting and cost centre accounting;
- Must be strong in MS Office (Including MS Word, Excel with advanced skills);
- Quick learner and ability to deliver on time.

WHO YOU ARE
To be successful in this role, you’ll need to have the following skills:
- Love for coding: A fanatic about writing beautiful and scalable code.
- Sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.
- Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems.
- Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.
- Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact.
KEY QUALIFICATIONS
- BE/BTech in Computer Science or related field.
- Minimum 3+ years of UI/Frontend development and a strong understanding of building complex layouts using JavaScript, CSS and HTML.
KEY SKILLS
- Strong computer system analysis and design skills in current methodologies and patterns including vanilla JavaScript, some experience with ReactJS, Redux, React Native, Webpack, and Typescript or similar library/tools.
- Obsessed with WPO (Web Performance Optimization) and web/mobile performance analysis.
- Experienced with web standards and protocols such as HTTP, DNS, TCP/IP, and socket APIs in general.
- Familiar with web security, SEO, accessibility and internationalization.
Technical Assistance Centre (TAC) provides 24/7 support and related services for Apoyar customers
under support contact agreement. including support for the full eCommerce application stack,
infrastructure and cloud AWS and Azure environments through to end user devices and productivity
applications. The TAC also supports and maintains Apoyar’s internal infrastructure, systems and
business applications. The technical and application support engineers within the TAC deliver support under a tiered
support model within a DevOps environment. The TAC engineers will also interface with Software
Development resources, as a resolver group, for support requiring application development and bug
fixes. As the single point of contact for customer support, the TAC provides first-level monitoring, event
and Service Desk functions backed by technical and application support engineers who provide
second and third-level support and systems management and administration. The Support Manager will lead the Technical Assistance Centre (TAC) and the team Technical
Support Engineers located in India. The purpose of this role is to facilitate the operational delivery of
support services in a consistent and structure approach defined in the service management
methodology (based on ITIL principles) and according to documented policies, processes and
procedures.
KEY AREAS OF RESPONSIBILITY: Manage delivery of support services team according to service management plans, methodology, processes and client engagement models. Ensure support is delivered to the client according to their contract support agreements.
Including overseeing delivery of support from any contracted third-party providers under
management. Maintain client data in accordance with internal policies, specifically Information Security
Management, GDPR Compliance Statement and Privacy Policy, by adhering to the business
requirements for securing information and the ensuring customer data is protected. Organise support staff resourcing and rostering according to plans and necessary to meet
demand. Ensure support team log all customer interactions correctly into A1 service management
platform and kept up to date. Monitor support team queues and ensure open tickets progress and service level targets are
being measured and achieved. Ensure service is delivered through an efficient tier 1, 2 and 3 support model with levels
performing agreed level of tasks.
Build learning into and develop knowledge of team to ensure jobs are not routed to next level
when they shouldn’t. Manage internal systems and platforms to ensure they have support and maintenance plans in
place, regular checks are performed that systems are running, and data records maintained. Manage the onboarding of new customer data (i.e. configuration records) into necessary
support systems ready for production support. Ensure old customers are exited. Escalate any day to day operational issues with support staff to direct manager, and systematic
support issues with service management methodology, policies, processes and procedures to VP, Global Services for ongoing management and service improvement.
EXPERIENCE/SKILLS:
Person doesn’t need to be highly experienced management guru, just enthusiastic and detail
oriented/process driven person we know will be on top of team to deliver, build, grow and get
better each day. Need understanding of ITIL fundamentals, Service Desk, Service Request, Incident and Change
Management principles etc.



