Python 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!)

The firm :

It’s an amazing time to be joining SalaryBox as we continue to transform attendance and payroll for over 60 million MSME’s in India.

We launched the app in Jan 2021, and now have more than 2 million downloads of the app. We support more than 200k businesses and operate at scale.

Backed by Y-Combinator, SalaryBox is India’s leading attendance and payroll app. Considered to be the engine of economies around the world, the MSME segment in India alone has ~63 million units, and employs ~100 million people. The sector accounts for 27% of GDP and is crucial to the functioning of the economy.

We are on a mission to make work easier for these business owners, managers, and employees so that they can focus on the things they do best.

Today, SalaryBox is a fun bunch of analytical and ambitious folks building the first-of-its-kind technologies for the MSME ecosystem. We are here to enhance the employee experience of over 10 million end consumers in the next twelve months. Our mission is big, so we act with urgency in everything we do. We find creative ways to test ideas and learn today so that we focus on the right things tomorrow.

About the Role

We are looking for a Senior Backend Engineer with at least 3 years experience. You will be an integral part of building the back-end architecture and developing core systems.

Responsibilities:

• Architect and develop our core systems from scratch.
• Deploy and maintain the product on AWS.
• Make strategic technical decisions.
• Commit to best practices for testing, logging, and deployments
• Help build the engineering team & subsequently mentor junior developers.

Requirements:

• 3+ years’ experience as a backend engineer.
• Expert in Python and Django.
• Experience with databases (Postgres, Redis etc. ).
• Good understanding of platforms (Docker, AWS).
• Basic understanding of Dev Ops.
• Previous experience architecting and scaling back-end systems
• Hands-on attitude and ability to drive solutions to completion.

1.   Should have worked in Agile methodology and microservices architecture

2.   Should have 7+ years of experience in Python and Django framework

3.   Should have a good knowledge of DRF

4.   Should have knowledge of User Auth (JWT, OAuth2), API Auth, Access Control List, etc.

5.   Should have working experience in session management in Django

6.   Should have expertise in the Django MVC and uses of templates in frontend

7.   Should have working experience in PostgreSQL

8.   Should have working experience in the RabbitMQ messaging channel and Celery Analytics

9.   Good to have javascript implementation knowledge in Django templates

• BS in CS or EE or equivalent
• Experience working on large scale systems in rapid growth environments
• Experience with public cloud offerings (AWS, GCP, Azure)
• Solid programming skills; preferred experience in Java, and/or Python
• Experience with modern web frameworks, advanced algorithms/data intelligence, public
• cloud platforms and streaming data pipelines
• Familiarity with containerization, microservices architecture, continuous integration, and delivery
• 5+ years’ experience preferred

Job Title:   Python Developer

Job Location: Pune ( Baner)

Experience: 4 to 8 years

Notice Period: 1 Month or Less

Skills: Python (Django, Flask), MySQL, Strong focus on OOPS and Architecture, Bitbucket/GitHub, NoSQL

Technical Requirements:

• Experience in developing web applications and APIs(REST, XML, other open sources)
   
• Strong programming foundation in Python, MYSQL & OOPS Experience in Django/Flask
• Experience & Good understanding of HTML5, CSS3, Bootstrap, Ajax, JS etc while experience on Angular, Node JS will be an added advantage.
• Solid exposure of API integrationsand familiar with various design & architectural patterns.
   
• In depth knowledge of Source Code Repository and experience working with Bit-bucket.
• Experience working on Apache HTTP or any other web/app server.
• Hands on experience in DB design, Architecture, coding, unit testing and debugging.
• Experience working in an Agile development environment.
• Sound in data structure analysis and algorithm design.
• Ensure cross-platform compatibility of information retrieved from web services on Android and iOS platforms, in terms of Push Notifications, platform-specific issues, etc
• Good knowledge of relational databases, version control tools and of developing web services.
• Strong understanding of the software development life cycle and best practices

Roles and Responsibilities:

• Should be a problem solver with an attitude to contribute towards the success of Team/Project as well as organization.
• Should be able to guide other members in the team
• Should take initiatives to improve code quality standards and team efficiency.
• Should be able to Participate in the requirements gathering and come up efficient solutions
• Should be able to Efficiently estimate on high and low level along with assessing risk items