Backend 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!)

Mandate Skills:

• 3 - 7 years of experience in cloud-native applications (Azure strongly preferred) using Python.
• Thorough understanding of Object-Oriented Programming (OOP) design and practices.
• Strong RDBMS experience (PostgreSQL, MS SQL etc.) designing tables & writing queries.
• Great command of design patterns (especially integration design patterns)

We are hiring for a Software Engineer Team Lead - Backend, to join our education-focused fintech lending startup, GrayQuest. Our core product is a combination of a lending product, a rewards product and an insurance product to redefine the education fees payment across the country.

• Participate in all stages of the Software Development Lifecycle
• Develop back-end components, services, and APIs. Support integration of user-facing elements, and collaborate closely with the design and front-end development team.
• Write elegant, effective, and scalable code while maintaining the highest level of coding standards.
• Take complete ownership of projects and ensure timely deliveries
• Ability to debug, refine, review, and deploy code
• Work closely with the QA team to test, and document project features.
• Ability to interact with all stakeholders. Understand business requirements, and effectively convert them into technical specifications
• Mentor junior developers and participate in peer Review

Requirements:

• Demonstrable experience as a Python Developer (3+ years)
• Strong knowledge of Python frameworks (Django Rest, Flask)
• Experience working on REST APIs
• Strong knowledge of SQL and JavaScript
• Experience with Amazon Web Services (AWS)
• Working knowledge of React
• Familiarity with Agile development methodology
• Good understanding of task breakup, milestone definition, and work delegation.
• Past experience of working in a fintech/financial services domain or a consumer internet startup will be preferable but not required
• Work experience in early-stage startups (0 ->1) is a big plus
• Bachelors or equivalent degree from premier institutes is a plus
• Most importantly, the biggest skill we look for our prospective candidates is "Learnability" - how quickly can you learn. 

Why is this a great opportunity for the right candidate:

1. Work with a young dynamic core team backed by marquee investors from the financial services space
2. Work on a product/business that has achieved product market fit and take it to scale
3. Equity compensation and competitive market salaries
4. Work environment that prioritizes talent, hustle and dedication
   
   

We will also ensure we give a preference to applicants who directly email us with their background/context and why they think they should be a strong candidate for this position at GrayQuest. Email us at work (at the rate) grayquest (dot) com and cc Sonal (at the rate)grayquest (dot) com

We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.

• 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 (may include databases, key-value stores, blob stores, etc.)

Skills And Qualifications:

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack).
• Familiarity with some ORM (Object Relational Mapper) libraries.
• Able to integrate multiple data sources and databases into one system.
• Understanding of the threading limitations of Python, and multi-process architecture.
• Good understanding of server-side templating languages.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
• Understanding of accessibility and security compliance (depending on the specific project).
• Knowledge of user authentication and authorization between multiple systems, servers and environments.
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python.
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform.
• Able to create database schemas that represent and support business processes.
• Strong unit test and debugging skills.

DUKAAN - Create Your Online Store in 30 Seconds

Dukaan is an app that allows offline businesses to sell their products and services online. On our app, the users can make beautiful product catalogs (catalogs) right from a smartphone and share with their customers easily on different social media apps such as Whatsapp Business, Whatsapp, Facebook, Instagram, etc. Praised by users all over India, this app has saved declining businesses by helping them transfer their shop online. The journey has just begun and we are on a mission to make India truly Digital.

Dukaan is currently powering over 5M e-commerce stores built by Indian small businesses and growing at a crazy rate.  

We are looking for a Backend Engineer to join our team who will be part of our new innovations team.

Requirements:

1. Strong knowledge of Django, Django Rest Framework, and their design principles.
2. Strong knowledge of Django ORM, should be able to leverage it to write complex and optimized queries (E.x Q queries, Case, When, Select related, prefetch related, Subqueries, Annotations, Aggregations, Filtering, etc.).
3. Should be able to override DRF serializers, filters, and view set completely according to needs.
4. Should have good experience in Class-Based Views to write the backend API.
5. Sound knowledge of database design patterns and modeling them to Django models.
6. Sound knowledge of how to write test cases for the APIs.
7. Should be able to write optimized pythonic code adhering to python PEP standards.
8. Strong knowledge of python packaging and how to architect a codebase that should be easily scalable and not get cluttered.
9. Strong knowledge of REST API design patterns.
10. The ability to write RAW SQL queries and further database-level coding will be a plus.
11. Good Understanding of python’s asyncio, threading, and multiprocessing library, their benefits and limitations along with their appropriate use cases.
12. Hands-on knowledge of celery and its corresponding message broker such as RabbitMQ, Redis, etc.
13. Experience with building a CDC(Change Data Capture) pipeline will be a plus.
14. Experience with Apache Kafka, Kafka connect and Debezium will be a plus.
15. Experience with open source will be a plus.
16. Good knowledge of Algorithms and data structures.

Responsibilities:

1. Understand the ins and out of the existing codebase and have a good grasp of it.
2. Write clean, stable, and scalable code.
3. Write unit test cases for the APIs.
4. Do whitebox and blackbox testing for your own code and as well as others if required.
5. Understand and implement fast prototype solutions for business needs.