Power App Developer

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[er1]  Description: Content Creator 

Position Overview:

We are seeking a dynamic and creative Content Creator who excels in video production, trend research, editing, and speaker coordination. The ideal candidate will also collaborate with Digital marketer & content writer to develop and distribute engaging content across multiple platforms, ensuring a consistent brand voice and audience engagement.

Key Responsibilities:

Video Production and Editing

·      Plan, shoot, and edit high-quality videos tailored for various platforms (e.g., Instagram, LinkedIn, YouTube).

·      Ensure videos align with the brand’s message and target audience.

·      Optimize video content for platform-specific algorithms.

·      Research and Trend Analysis

·      Conducts A/B testing to analyze video reach and performance metrics.

·      Ensures all content aligns with the policies and guidelines of Mental Health First Aid India (MHFA).

·      Stay up to date with trending topics, viral content, and industry-specific developments.

·      Leverage trends to create timely and relevant content.

·      Speaker Coordination

·      Book and coordinate with speakers, influencers, or subject matter experts for video shoots or events.

·      Manage schedules, logistics, and contracts related to speaker availability.

Content Collaboration and Distribution

·      Support Content Writer and Marketing team in brainstorming and writing engaging, audience-focused materials.

·      Distribute content effectively across platforms like social media, blogs, newsletters, and websites.

·      Possesses the skills to interpret and create content based on reports provided by the digital marketing team.

·      Creative Input and Strategy

·      Contribute to the overall content strategy by providing innovative ideas for storytelling and campaigns.

·      Ensure consistency in tone, style, and branding across all content.

Skills and Qualifications:

·      Proven experience in video production, editing, and content creation.

·      Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro) and mobile editing tools (e.g., CapCut, InShot) for quick and spontaneous content creation.

·      Familiarity with social media platforms, content management tools, and analytics.

·      Ability to research and identify trending topics and integrate them into content.

·      Excellent organizational and communication skills to manage schedules and collaborations.

·      Basic understanding of social media algorithms and digital marketing principles.

·      A team player with a proactive attitude and the ability to multitask.

Preferred Qualifications:

·      Background in marketing, communications, or a related field.

·      Experience working with speakers, influencers, or managing partnerships.

·      Knowledge of graphic design tools (e.g., Canva, Photoshop) is a plus.

Location: On-site

Employment Type: Full-Time

Join us to create impactful content that drives engagement and builds meaningful connections!

 [er1]@hr Pls consider this JD for recruitment 

5 to 10 years of software development & coding experience

Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have. 

Experience troubleshooting AWS policy or permissions related errors during resource deployments \

Programming experience; preferred Python, PowerShell, bash development experience \

Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)

Have configuration management experience (Chef, Puppet, or Ansible)

Worked in a Development Shop or have SDLC hands on Experience

Familiar with how to write software, test plans, automate and release using modern development methods

AWS certified at an appropriate level

We’re in search of an experienced product manager to lead a multidisciplinary development team. The ideal candidate will have a keen eye for gaps in consumer product offerings and an innovative mindset for filling them. This person should be a highly skilled market analyst with a proven ability to strategize the full lifecycle of a product, from conception to release. We’re looking for a confident leader who can guide cross-functional teams in the creation of products that improve customer experience and grow market share.

Job Profile:

Location: Chennai/WFM

Experience: 8-10 yrs

Role and responsibility

• Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience, and drive growth.
• Create buy-in for the product vision both internally and with key external partners.
• Develop product pricing and positioning strategies.
• Translate product strategy into detailed requirements and prototypes.
• Scope and prioritize activities based on business and customer impact.
• Work closely with engineering teams to deliver quick time-to-market and optimal resources.
• Drive product launches including working with the public relations team, executives, and other product management team members.
• Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed.
• Act as a product evangelist to build awareness and understanding.
• Represent the company by visiting customers to solicit feedback on company products and services.

Skills and qualifications

• Bachelor’s or master’s degree in product design or engineering.
• Previous experience in software development will be added advantage.
• Rich experience in a dynamic product management role – 8-10 Years.
•  Should have work experience in Travel industry/booking industry- 5-6 Years.
• Proven success in overseeing all elements of the product development lifecycle.
• High effectiveness in managing cross-functional teams.
• Good writing skills (Product Feature, Requirement gathering, user story, etc), combined with strong presentation and public speaking skills.

Technical specifications/Skill Set:

• Minimum of 5+ years of significant experience in application development.
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development
• Knowledge of system architecture, object-oriented design, and design patterns.
• Required technical skills: Strong Core Java, J2EE, Spring boot, Akka, API development & distributed application development experience.
• Desirable technical skills: Micro-services pattern, Kafka, Knative Eventing, Camel-K, Container Technologies like Docker, Kubernetes, NoSql preferably Cassandra.
• Experience working with high volume data and computationally intensive system.
• Domain knowledge in Financial Industry and Capital Markets is a plus.
• Excellent communication skills are essential, with strong verbal and writing proficiencies.

• Expertise in Java server-side development: Core Java, Golang Servlets, Spring Core, React JS, Spring Boot with GRPC, and Hibernate.
• Exposure to microservice design patterns.
• Good knowledge in Data Structures, Algorithms, Object-Oriented Design, Analysis, Design patterns, and other computer science concepts.
• Knowledge of GraphQL, Kafka, PostgreSQL will be added advantage.

Technovert is a neo solutions company focused on building a product-based solutions and services business in the US Market. One of our products was recently awarded Best Startup Enterprise Product in Hyderabad and we got great many things to accomplish. We are looking for ambitious and passion filled sales professionals to join our team. Please visit www.technovert.com

The Inside Sales Executive is responsible of new business generation in an assigned territory. You will be creating visibility of brand Technovert through high volume outbound/inbound calling, targeted email campaign and networking

Duties and Responsibilities:

• Understand Technovert offerings clearly in order to effectively communicate with prospects
• Know and understand assigned territory
• Validate and Manage assigned Target Accounts on CRM
• Effective Prospecting (via cold calling, inbound calls, emailing and networking)
• To map an account and understand Microsoft foot print within through engaging IT teams/LOB and others at different levels (CXO to Admin)
• Profiling - Tech Influencer, Recommendation/Middle Man and Decision maker
• Tailor pitch according to account/contact profile and effectively engage a prospect (at various stages of sales cycle cold call/follow-up/presentation)
• Qualify by BNTD (Budget Need Timelines Decision Makers)
• Present Technovert value prop over telecon and web sessions to CXO, VP/Dir., LOB Managers as per the account profiling
• Engage Sales team / Support Team as and when needed
• Work closely with Sales Manager and support in engaging with Key Accounts by qualifying prospects and drive new opportunities
• Strives to meet or exceed prospecting goals on daily, weekly, monthly and quarterly basis
• Meet and exceed Quarterly revenue targets
• Weekly/Monthly/Quarterly reports and review

Requirements:

• Graduate
• 2 - 3 years’ experience into IT / Inside Sales in North America
• Exceptional communication skills (specially engaging customers over phone and emails)
• Organized, disciplined and a Hunter by choice
• Open to work in US timings
• Loves to party

• Can work independently on the Android Development platform
• Must have knowledge of both Java and Kotlin
• Good understanding of Architecture such as MVVM and MVP.
• Must have at least 3 Good quality Android apps in the portfolio to showcase