Fresher Medical Representative

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 looking for a dedicated and dynamic individual to join our Mathematics Department as a Tutor/Assistant Professor. The ideal candidate will have a strong academic background in mathematics and a passion for teaching, mentoring, and fostering academic excellence among students.

MERN STACK DEVELOPER

ABOUT US

Datacultr is a global Digital Operating System for Risk Management and Debt Recovery, we drive Collection Efficiencies, Reduce Delinquencies and Non-Performing Loans (NPL’s). Datacultr is a Digital-Only provider of Consumer Engagement, Recovery and Collection Solutions, helping Consumer Lending, Retail, Telecom and Fintech Organizations to expand and grow their business in the under-penetrated New to Credit and Thin File Segments.

We are helping millions of new to credit consumers, across emerging markets, access formal credit and begin their journey towards financial health. We have clients across India, South Asia, South East Asia, Africa and LATAM.

Datacultr is headquartered in Dubai, with offices in Abu Dhabi, Singapore, Ho Chi Minh City, Nairobi, and Mexico City; and our Development Center is located out of Gurugram, India.

ORGANIZATION’S GROWTH PLAN

Datacultr’s vision is to enable convenient financing opportunities for consumers, entrepreneurs and small merchants, helping them combat the Socio-economic problems this segment faces due to restricted access to financing.

We are on a mission to enable 35 million unbanked & under-served people, access financial services by the end of 2026.

Position Overview

We are looking for a talented and enthusiastic MERN Stack Developer to join our development team. As a MERN developer, you will be responsible for building and maintaining full-stack web applications using MongoDB, Express.js, React.js, and Node.js.

Core Responsibilities

• Develop, test, and maintain full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Design and implement robust, scalable, and secure RESTful APIs and backend services.
• Collaborate with UI/UX designers to build responsive, intuitive, and user-friendly web interfaces.
• Optimize applications for performance, speed, and scalability.
• Write clean, well-documented, and maintainable code following best practices.
• Participate in code reviews, team discussions, and agile ceremonies to ensure high-quality software delivery.
• Bonus skills: Familiarity with TypeScript, Docker, and CI/CD pipelines is a strong plus.
• Experience with cloud platforms such as AWS will be considered an added advantage.

Key Requirements

• 1 – 2.5 years of hands-on experience in full-stack development using the MERN stack.
• Proficiency in React.js, Node.js, Express.js, and experience with both PostgreSQL and MongoDB.
• Strong foundation in JavaScript, along with HTML5 and CSS3.
• ·Experience integrating and working with REST APIs and third-party APIs.
• ·Familiarity with Git and collaborative version control workflows.
• ·Solid problem-solving, debugging, and analytical skills.
• · Experience working in an Agile/Scrum development environment.

What We Offer

•  Opportunity to shape the future of unsecured lending in emerging markets
•  Competitive compensation package
•  Professional development and growth opportunities
• Collaborative, innovation-focused work environment
• Comprehensive health and wellness benefits

Location & Work Model

• Immediate joining possible 
• Work From Office only
• Based in Gurugram, Sector 65

Product Based Client:

A multinational technology and e-commerce company based in the United States is widely recognized as one of the world's largest online retailers. In addition to e-commerce, it is a major player in cloud computing through its cloud services division and has expanded into areas such as streaming services, artificial intelligence, and smart devices.

Essential Job Functions:

Top 3 responsibilities

• Taking for operational work.

• Monitoring data pipelines.

• Addressing/Triaging customer tickets

Qualifications:

Exp: 1+ Years

• Skillset:Core Java, Data Structures, Al

 ​IT experience in analysis, design, development, documentation, implementing, and testing of software systems in Java, ​Spring Boot, Hibernate, and Internet technologies.

​- ​Spring Boot includes real-world experience working with ​Microservices Architecture, Plugin Services.

​- ​Strong experience in Spring Frameworks such as Spring MVC, IOC, AOP, and Spring JDBC.

​- Strong knowledge of the ​DevOps, AWS Environment, Code Versioning ​- ​Strong hands-on experience with Spring IO, Spring Boot with Thyme leaf.

​- ​Experience in implementing Java EE design patterns such as MVC, Singleton, Session Façade, DAO, DTO, and Business Delegate in the development of Multi-Tier distributed Enterprise Applications.

​- ​Good experience in developing Web Services SOAP, JAX-WS, WSDL.

​- ​Experience in core Java-Multithreading, collections, Servlets and JDBC.

​- ​​Strong knowledge on RDBMS concepts and broadly worked ​Postgres, MySQL technologies such as MongoDB

​- ​Experience in designing front-end ​technologies like ReactJS will be an add-on​

​- ​Hands-on experience with build and deployment tools including Ant / Maven, logging and Debugging using Slf4 and Log4j, and unit and integration testing using JUnit.

​- ​Experience with Use-Case design, Class, and Sequence diagrams using UML.

​- ​Excellent team player with good analytical, strategic planning, and interpersonal and communication skills. Highly motivated, enthusiastic, and self-starter.

Desired Candidate Profile

This is a remote position.

• Design and build strong, resilient, and robust APIs, libraries, and tools to power customers, engineers, and operations
• Own functionality and scalability features by taking responsibility from inception to post-deployment.
• Be responsible for full software development life-cycle - design, development, testing, operating in production
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
• Serve as technical lead, contributing to and directing the execution of complex projects with other engineers
• Mentor software engineers and set the standard for the next generation of Finly engineers
• Proactively identify and prioritize improvements to the team's processes, codebases and best practices

• 3 to 6 years' experience creating libraries and designing scale-able backend systems
• Experience working with SQL or NoSQL databases
• Familiarity with software engineering development cycles
• Experience working with backend programming languages (Ruby, Python)
• Ability to hold yourself and the team to high standards
• Strong communication (written and verbal) and interpersonal skills
• Ability to provide in-depth evaluation of multiple technical directions and determine trade-offs of each
• Strong propensity to make data-driven decisions on technical architecture and project prioritization

• Experience collaborating with experts in product, design, and operations.
• Experience driving initiatives at a broader level across an organization or company
• Strong writing skills
• Proactive approach

• Managing digital/content marketing activities for our global clients.
• Content writing and updates.
• Influencer marketing and Blogger Outreach.
• Excellent writing and grammatical skills with the ability to write quickly, concisely, and accurately.
• Willingness to work in a dynamic environment and willingness to learn new things and styles.
• Ability to write compelling content on various topics.
• Convince others that your ideas are worth investing time and effort in. This role is at the core of the content marketing team, and others will rely on your work every single day.
• Search Engine Optimisation
• Influencer marketing and Blogger Outreach
• Social Media Marketing