Sr 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!)

Sal: Upto 30LPA+ESOPs

Location: Bangalore and Mumbai

Hybrid work mode

EXP: 3-6y

Roles & Responsibilities

Cashflo, true to its name, is on a mission to unlock $100+ billion of trapped working capital in

the economy by creating India’s largest marketplace for invoice discounting to solve the

day-to-day cashflow problems faced by businesses. Founded by ex-BCG and ISB / IIM

alumni, and backed by General Catalysts and Elevation Capital, Cashflo helps democratize

access to credit in a fair and transparent manner.

Awarded Supply Chain Finance solution of the year in 2019, Cashflo creates a win-win

ecosystem for Buyers, suppliers and financiers through its unique platform model. Cashflo

shares its parentage with HCS Ltd., a 25 year old, highly reputed financial services company

has raised over Rs. 15,000 Crores in the market till date, for over 200 corporate clients.

Our leadership team consists of ex-BCG, ISB / IIM alumni with a team of industry veterans

serving as the advisory board. We bring to the table deep insights in the SME lending space,

based on 100+ years of combined experience in Financial Services. We are a team of

passionate problem solvers and big thinkers and are looking for like-minded people to join

our team.

We are looking for someone who loves a challenge, is ambitious, super tenacious and

persistent. S/he is a self-starter, thrives in a dynamic, small start-up environment, has a

knack for understanding customer needs, and loves to get sh*t done! If you check these

boxes - we want to talk to you!

The opportunity:

-Solve a complex $300+ billion problem at the cutting edge of Fintech innovation, and make

a tangible difference to the small business landscape in India

-Join a high performance, dynamic and collaborative work environment that throws new

challenges on a daily basis

-Be part of the early founding team and be directly responsible for driving the company's

success

Key Responsibilities

-As an early team member, you will get a chance to set the foundations of our engineering

culture. You will help articulate our engineering principles and help set the long-term

roadmap.

-Making decisions on the evolution of Cashflo's technical architecture

-Building new features end to end, from talking to customers to writing code

Our Ideal Candidate Will Have

● 3+ years of full-time software engineering experience

● Experience building scalable backend platforms (you've owned & built features from start

to

finish before)

● Thorough knowledge of SDLC

● Extensive knowledge of any of Python, Go, NodeJS

● Expertise on any RDBMS or NoSQL databases

● Understanding of messaging systems like RabbitMQ, Kafka and protocols

● Understands CI/CD pipelines

● Exposure to cloud providers like AWS, GCP or Azure

● Seen extensive scale and understands the evolutionary technical challenges

About You

-Product-minded. You have a sense for great user experience and feel for when something

is off. You love understanding customer pain points and solving for them.

-Get a lot done. You enjoy all aspects of building a product and are comfortable moving

across the stack when necessary. You problem solve independently and enjoy figuring stuff

out.

-High conviction. When you commit to something, you're in all the way. You're opinionated,

but you know when to disagree and commit. Mediocrity is the worst of all possible outcomes.

What’s in it for you

● Gain exposure to the Fintech space - one of the largest and fastest growing markets in

India

and globally

● Shape India’s B2B Payments landscape through cutting edge technology innovation

● Be directly responsible for driving company’s success

● Join a high performance, dynamic and collaborative work environment that throws new

challenges on a daily basis

● Fast track your career with trainings, mentoring, growth opportunities on both IC and

management track

● Work-life balance and fun team events

Solution Oriented Mindset

• Assist project in all technical aspects of tooling and DevOps
• Proactively lead tools new versions release cycle and documentation
• Proactively identify risks related to application /deliverables and propose a mitigation plan
• Provide custom solutions as per customer requirements

Autonomy & Problem Solving Mindset

• Work in complete autonomy to deliver project deliverables, for advanced technical deliverables, with required level of quality
• Must have troubleshooting skills

Agile Mindset

• Contribute to improvement of internal process, tooling, and quality process
• Design, build and collect technical materials as part of project executions in a spirit of reusability for future engagements and maintain knowledge on best practices, tools, and reusable components for CAST analysis

We are looking for a Senior Python Developer to build functional and efficient server-side applications.

Senior Python Developer responsibilities include participating in all phases of the software development lifecycle. If you’re a seasoned developer with a love for back-end technologies, we’d like to meet you.

Your ultimate goal is to create high-quality products that meet customer needs.

Responsibilities

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Coordinate cross-functionally to insure the project meets business objectives and compliance standards
• Support test and deployment of new products and features
• Participate in code reviews
• Manage testing and bug fixes
• Prepare technical documentation
• Collaborate with UX/UI designers to implement design into the code
• Implement software enhancements and suggest improvements

Qualifications

• Bachelor's degree in Computer Science (or related field)
• 3+ years of work experience as a Python Developer
• Experience with Python frameworks (e.g. Django, Flask, Bottle)
• Expertise in Object-Oriented Design, Database Design, and XML Schema
• Experience with Agile or Scrum software development methodologies
• Ability to multi-task, organize, and prioritize work
• Familiarity with Amazon Web Services (AWS) and REST API
• Understanding of databases and SQL
• Knowledge of machine learning is a plus
• Attention to detail
• Leadership skills

• 2+ years of Hands-on experience in Python, Django, Flask, Bottle, Design Patterns, Web Services (SOAP/HTTP, REST APIs)
• 2+ years of hands-on experience with Postgress, MongoDB.
• Experience with cache-store / message broker like Redis / RabbitMQ / Kafka
• Experience with AWS
• Experience in front-end development using react.js is a plus.
• Proficient understanding of code versioning tools, such as Git / Mercurial /bitBucket.
• DevOps knowledge to deploy code in production and hands-on experience with docker / Kubernetes.
• Self-motivated and a good team player.
• Good communication and interpersonal skills.
• Bachelor’s Degree in Engineering from a reputed Institute