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!)

• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features.
• Monitoring system uptime and errors to drive us toward a high-performing and reliable product.
• Take ownership and understand the need for code quality, elegance, and robust infrastructure.
• Worked collaboratively on a software development team.
• Built scalable web applications.

Skills:

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda]

We are seeking a talented and motivated Backend Developer to join our dynamic team. As a senior Backend Developer, you will play a crucial role in enhancing and expanding our AI productivity tool, working on the intersection of natural language understanding (NLU), event-condition-action (ECA) frameworks.

Key Responsibilities:

• Collaborate with cross-functional teams to design and implement advanced features for our AI productivity tool.
• Innovate and propose creative solutions to enhance the functionality and user experience of the platform.
• Develop back-end components of the AI productivity tool, ensuring performance and scalability.
• Design and implement robust backend services and APIs using Python- Django.

Requirements:

• Bachelor's/Master's degree in Computer Science or a related field.
• Proven experience (3-4 years) as a Software Development Engineer, with a focus on Python- Django
• Strong problem-solving skills and the ability to think creatively.
• Ability to take up different tech stacks.
• Mathematical experience preferred.
• Proficiency in Backend Technologies as well as a basic understanding of Frontend technologies.

Nice-to-Haves:

• Experience with cloud platforms and services.
• Experience with Frontend Technologies.
• Track record of contributing to open-source projects.
• Passion for staying updated on the latest trends in AI and technology.

Job Title: Backend Developer

Job Description: We are seeking a skilled Backend Developer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs of our applications. Key responsibilities include collaborating with cross-functional teams to develop scalable and efficient backend systems, troubleshooting and resolving issues, and staying updated on industry trends. Proficiency in programming languages such as Python, Java, or Node.js, along with experience in database management and API development, are essential for success in this role. Strong problem-solving skills, attention to detail, and a passion for creating robust and high-performance backend solutions are highly valued.

Requirements:

Proficiency in one or more backend programming languages (e.g., Python, Java, Node.js)

Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB)

Knowledge of RESTful API design and development

Familiarity with cloud services (e.g., AWS, Azure) is a plus

Strong problem-solving and troubleshooting skills

Collaborative mindset with excellent communication skills

Ability to work in a fast-paced and dynamic environment

• Qualification: BE / B.Tech / ME / M.Tech
• You must have Experience of 3 - 7 years
• You must be proficient in Embarcadero Delphi10.3 or above Framework, Object oriented programing, clean code, Design patterns, Dependency Injection, Multithreaded programming
• Experience in cloud technology and mobile development
• Experience in using below libraries or equivalent
• DMVC Framework
• Mars Curiosity
• Developer Express
• FireDAC, ADO framework, TMS Aurelius
• Spring4d
• FMX Technology
• Knowledge on Cloud computing, IoT, Java script, Type script, Angular
• Good understanding of DevOps
• Experience in using ALM/Configuration management tools e.g. GIT
• Prior work experience in SQLite required
• You must be conversant with Agile software development processes / methodologies

What You Need to Succeed

• As a Delphi developer, you will understand, analyze and implement the requirements
• Create world class products using your knowledge in Delphi Framework and Libraries, OOPS programming skills, Design principles patterns
• Work with technologies : Cloud computing, IoT, Java script, Type script, Angular, Java
• Design, development and testing of new features in the applications
• Design implement DevOps Best practices, establish standards and policies for managing source code and continuous integration/delivery
• Responsible for regular communication with others involved in the development process
• Implement, test, and bug-fix functionality
• Participate as a team member in fully agile Scrum deliveries
• Experience in working with international environment with a multicultural team
• Exhibit excellent team spirit and good in communication