Intern - Software 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!)

We are looking for an ASP.NET Developer to be responsible for designing and monitoring applications. The responsibilities of ASP.NET Developers include writing code, designing solutions for applications, and improving functionality.

To be successful as an ASP.NET Developer, you should demonstrate excellent problem-solving skills, high-quality coding skills, and the ability to manage your time efficiently. Ultimately, a top-notch ASP.NET Developer should have superior knowledge of software development, a keen eye for detail, and be able to work independently.
ASP.NET Developer Responsibilities:

• Creating top-quality applications.
• Collaborating with front-end developers.
• Ensuring that junior staff delivers according to standards.
• Improving functionality.
• Using the most updated and appropriate technologies.
• Designing and building application layers.

ASP.NET Developer Requirements

• Previous experience as a Developer.
• Extensive working knowledge of coding using .NET languages (C+, VB, .NET).
• Familiarity with ASP.NET framework and SQL servers.
• A keen eye for detail.
• Strong communication skills.

• We are looking to add a Software Engineer to contribute to the development, upgradation and management of our back end services for our website / PWA / app / chatbot / internal tools.
• You will be part of a lean team with a very steep learning / growth opportunity while working on and exploring some of the cutting edge technologies
• This is a full-time role in Mumbai with flexible working hours (including WFH)
• You will be working closely with the founder and be involved in strategic decisions such as back end architecture, tech stack selection, hiring, etc.
• We have multiple products in the pipeline and we need a strong team player who can contribute shoulder-to-shoulder with the existing team in the software development process.
• CTC offered: upto Rs. 22 Lakhs

• Must have qualities: logical & independent thinker; problem solver; result oriented; takes ownership; ability to work indepenently with end-to-end output delivery; ability to structure the code (to avoid rework in future)
• Experience in writing production quality code in NodeJS, Python, Java, or Ruby on Rails
• Hands on experience in design web application using ExpressJS, Koa, Django
• Experience in designing and developing REST API. Familiarity with GraphQL is a plus.
• Proficient in dealing with SQL and NoSQL databases like MySQL, PostgreSQL MongoDB, Elasticsearch.
• Experience with in-memory databases like Redis or MemCache; webserver like Apache, Nginx.
• Experience in stress testing and unit testing and familiarity with testing platforms is a plus
• Proven experience in implementing user authentication and authorization in distributed systems.
• Capability to integrate multiple data sources and databases into one system.
• Experience in designing and developing scalable system.
• Working experience with one of the cloud services like GCP, AWS , Digital Ocean, Azure, etc.
• Knowledge of low-code / no-code tools to expedite production is a plus
• Engineering degree; Computer Science preferably + minimum 2 years of work experience as a Back End Engineer (NOTE: Please do not apply if you do not meet this criteria)
• Clear communication, strong inter-personal skills

• Experience of a lifetime by disrupting the antiquated tech of Real Estate
• Steep learning curve with opportunity to
• Opportunity to generate immense wealth for yourselves from the equity allocation
• A good cash salary
• Standard perks (health insurance, medical benefits etc.)

1. CV screening
2. Coding Test
3. Technical Interview

Job Requirements-

Strong in programming fundamentals in C#, jQuery, JavaScript and Sql Server.
-Experience in Developing Web-Based App, SDLC & software engineering, Unit Testing.

• 3+ years of recent hands-on Java development
• Java, Python, JavaScript programming languages
• Fluency with RESTful APIs, AngularJS, HTML5 and CSS
• Great understanding of designing for performance, scalability, and reliability of data intensive application
• Understanding of database fundamentals and advanced SQL knowledge
• In-depth understanding of object oriented programming concepts and design patterns
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Understanding of full software development life cycle, agile development and continuous integration
• Experience in Agile methodologies including Scrum and Kanban

What puts you over the top:

• Exposure to various technologies like Spring Boot, Microservices, Kubernetes and also some frontend technologies like React.js, Node.js or other UI frameworks.

●  Experience in AdTech or Programmatic

MUST HAVE GOOD EXPERIENCE IN SPRING BOOT, NODE JS, ANGULAR JS, REACT JS, JAVASCRIPT,JAVA, HTML/CSS.

• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions

Skills And Qualifications

• Practical knowledge and understanding of web applications.
• 3+ years of good hands-on experience in Python, with knowledge of Django
• Good hands-on experience in SQL Database (MYSQL / Postgres)
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Able to create database schemas that represent and support business processes.
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools GIT.
• Has experience of working in an Agile Environment. Fluent in English (written and oral) Fluency in a second language is preferred.
• Comfortable working remotely with great communication skills for a remote work environment.

Bonus Qualifications

• Knowledge of any cloud. ( Especially Azure )