
- FIELD JOBS
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- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE
- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE
- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE

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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!)

We are Banshi Medicare Private Limited a leading manufacturer of Surgical Gloves and we are currently looking for ASM in Locations:- Bihar. Uttar Pradesh
Job description
Discover and pursue new sales prospects, negotiate and close deals, and maintain customer satisfaction to meet and surpass business expectations and contribute to our company's rapid and sustainable growth.
Roles and Responsibilities
• As an MR/TSM/ASM the candidate will be responsible for managing teams of sales members
• The MR/TSM/ASM is required to make a route plan with all his team members
• MR/TSM/ASM will be setting monthly targets for his team members, On a weekly basis he will be reviewing the productivity of all team members ensuring all targets are achieved
• Periodically reviewing team performance
• Reporting the NSM & Sales Coordinator every day
• To visit Surgeons/Doctors in Assigned Areas to give them Demos of our company Surgical Gloves.
• To convince Surgeons/Doctors of Assigned areas to purchase our company's Surgical Gloves.
• Maintaining accurate sales and product records.
• Attending trade exhibitions, conferences, and meetings.
• Aiming to achieve monthly or annual targets.
• Gather market information and provide feedback on buying trends.
• Identify new markets and business opportunities.
• Record sales and send copies to the head office.
• Review sales performance.
• Provide feedback about dealers and doctors to their respective authorities.
• Keeping up to date with product knowledge.
• To solve the issue of dealers/doctors related to the product.
• Planning work schedules and weekly and monthly timetables. This may involve working with the area sales team or discussing future targets with the area sales manager.
• Monitoring competitor activity and competitors' products.
• To Coordinate with Doctors / Hospitals / Dealers for their Outstanding Payments Future Business Order.
• To coordinate with back back-end Team for sharing Quotations with Doctors, and for placing Doctors' Orders for inquiries related to the dispatch of their ordered products.
Desired Candidate Profile
• Excellent in Microsoft Excel, Data Analytically, Email Drafting
• Minimum 3 Years of experience in Medical disposable/ Equipment / Pharmaceutical industry
• Excellent Verbal & Written Communication
• Excellent problem-solving & interpersonal skills
• Demonstrated ability to build and maintain key business relationships internally and externally.
• Demonstrated ability to work both collaboratively and independently in a cross-functional and team-oriented environment.
• Strong ability to develop product and marketing strategies

What can you expect?
You will be part of the founding team at LDU and will be responsible for the end-to-end technology of the company including:
- Work with the founders on cutting edge technologies, including AI/ML, blockchain, computer vision, etc. across the tech-stack.
- Formulate long-term technology & product strategy along with implementation roadmap, while envisioning the tech-stack
required to scale the business 100X
- Architecting and engineering solutions across the entire technology stack including front-end, back-end, infrastructure,
architecture, server-side engineering, UI, etc. in line with the company's strategy.
- Work on the D2C website and enhance the user experience while increasing the company's online presence.
- Provide help to everyone in the team and greatly reduce the time and technical costs of team communication, technology
docking.
- Plan and collaborate with the other teams including marketing/ growth, customer success/ sales, design, operations, etc. to
implement new product features, growth hacks/ initiatives identified through user interviews/ insights, etc in a timely manner.
- Will be involved in a horizontal technical requirement, so should be able to make a prototype design for a product very rapidly
while executing the same with a wide range of techniques.
- Build processes/mechanisms to track the KPIs across product/ technology and ensure religious execution of the targets
- Build and lead the technology team including the engineering team, product team, Quality Assurance, etc.
- Awesome work-culture (flexible work timings; no need to wear formals; awesome snacks to name a few)
What are we looking for?
We are looking to onboard a Full Stack Software Engineer, who has a founder's mindset including the following traits:
- Experience of full stack development across web & mobile based technologies and should have scaled a business
- Ability to work across stacks like MEAN, MERN, LAMP, etc. seamlessly
- Ability to build scalable products/ platforms, fully redundant fault tolerant infrastructure while working on modern technologies.
- Versatile Developer/Engineer that can help on both ends of the website development and better the same by enhancing user
experience.
- Ability to Code in both frontend and backend of the site
- Stronghold in both front-end & back-end development/ algorithms with experience of building agile, highly scalable, data-driven
platforms from scratch
- Ability to be hands-on with coding across big data, mobile apps, AI & ML, analytics, DevOps, business intelligent solutions, etc.
apart from strategically guiding/ mentoring the team
- Stronghold in executing stuff on the ground and hustle around to Get things done
- Ability to think and see the big picture while focusing on short term goals and deliverables
- Leadership qualities to hire and build a kick-ass technology/ product team going forward
- Experience as a founder/ being part of founding team is huge plus but not mandatory
- Experience in the Fashion/ Apparel industry is a plus but not mandatory
Job Description : Senior Full Stack Developer
Role
A Full Developer at Snappymob is an integral member of the software engineering team that designs and develops world-class applications that are relied on by our customers to be highly reliable and performant.
You'll be working closely with other engineers in the team to work on delightful applications and features that make a big impact on users. We're looking for people who share our passion for writing great software and our love for making use of best practices in our software development process.
Responsibilities
- Architect, design, develop, and maintain web based applications and services with a focus on Node.js-based backend development.
- Design and implement high quality RESTful APIs.
- Collaborate with the engineering team at large in software design sessions, code reviews, teaching, and other engineering activities.
- Collaborate with other team members including the mobile development team and design team.
- Participate in all aspects of the software development lifecycle for our projects.
Requirements
- 3 or more years of a mix of frontend and backend development experience.
- Ability to think critically, analyze, and break down problems into manageable components.
- Strong attention to detail.
- Ability to communicate and work well with others.
Backend Skills
- Strong knowledge and experience with developing RESTful APIs.
- Strong knowledge and experience with one or more backend development stacks: Spring Boot, NodeJS + Express, Rails, or similar.
- Strong knowledge and experience with one or more of PostgreSQL, MySQL or other relational databases.
- Knowledge and experience with one or more cloud infrastructure providers: AWS, GCP, Azure.
- Strong knowledge and experience of integration of third party services.
- Experience utilizing various third party backend frameworks and libraries.
Frontend Skills
- Strong knowledge and experience with frontend fundamentals: HTML, CSS, JS.
- Strong knowledge and experience with one or more web oriented development languages: JS, TypeScript, PHP, Ruby, or other.
- Strong knowledge and experience in at least one frontend framework: Vue.js, React, Angular, or other.
- Experience utilizing various third party frameworks and libraries.
Good-to-have Experiences:
- E-commerce platforms: Magento, WooCommerce, etc.
- Content management systems: Drupal, Wordpress.
- Self-hosting cloud services: NextCloud, Gitlab, Gitea; or other SysAdmin-related tools: Wireguard.
- Containerization and orchestration solutions: Docker and Kubernetes.
As one of Malaysia's top app development companies, Snappymob helps top brands in Malaysia and around the world turn their ideas into reality by creating impactful digital products. Our clients span from startups to multinationals across many industries including finance, media, healthcare, energy, and education.
By pairing awesome user experience design and solid software engineering, we strive to help our clients achieve success – while providing them honest, no-nonsense advice.
Visit us at snappymob.com to find out more about what we do.
Experience: 2-8 years
Skills
* Hands-on development skills in Java8 features like Streams, Lambda expressions, Enhanced for loops, Parallel processings, etc.
* Hands-on development skills in Springboot, Microservices & JPA/Hibernate.
* Experience in designing, analyzing and troubleshooting large-scale distributed systems.
* Experience in any Java based rule engine implementation for workflows.
* Experience in Dockers, ElasticSearch, Messaging and any RDBMS.
* Experience with Swagger, Git, Jenkins & Maven.
* Experience with any of Nosql databases.
Micro services Lead: Experience: 7+yrs
Micro services Architect: Experience: 10+yrs
Micro service developer : Experience : 4+Years
Notice Period: Immediate to 15 Days.
Required skills : Java, J2EE with Microservices, Springboot, Spring cloud,Kafka,Redis,Nodejs, Any cloud
We are looking for a back end developer with strong foundational knowledge of SQL, microservices architecture and Javascript.
Please don't apply if experience < 2 years || Javascript !=advanced
Responsibilities:
1. Back end ownership and implementation of projects in Node.js
2. Strong knowledge of JS and SQL is critical
3. Knowledge and experince of working on RHEL/Ubutnu servers is an additional bonus
4. Experience in writing large modularised projects
5. Production experience in implementing highly scalable microservices
At Gida, you’ll be developing and contributing to different applications and projects. If you’re the person with the right calibre and mindset, you’ll get opportunities to work on diverse projects and learn new skills.
Hybrid work model - work from home with 1-2 days in office
An experienced and hands-on Technical Architect to lead our Video analytics & Surveillance product
• An ideal candidate would have worked in large scale video platforms (Youtube, Netflix, Hotstar, etc) or Surveillance softwares
• As a Technical Architect, you are hands-on and also a top contributor to the product development
• Leading teams under time-sensitive projects
Skills Required:
• Expert level Python programming language skills is a MUST
• Hands-on experience with Deep Learning & Machine learning projects is a MUST
• Has to experience in design and development of products
• Review code & mentor team in improving the quality and efficiency of the delivery
• Ability to troubleshoot and address complex technical problems.
• Has to be a quick learner & ability to adapt to increasing customer demands
• Hands-on experience in design and deploying large scale docker and Kubernetes
• Can lead a technically strong team in sharpening the product further
• Strong design capability with microservices-based architecture and its pitfalls
• Should have worked in large scale data processing systems
• Good understanding of DevOps processes
• Familiar with Identity management, Authorization & Authentication frameworks
• Possesses very strong Software Design, enterprise networking systems, advanced problem-solving skills
• Experience writing technical architecture documents








