Senior Backend Engineer

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

We are seeking a motivated and detail-oriented Junior Backend Engineer to join our team. The role involves developing and maintaining backend systems using Django and Python, while also managing on-premises hardware and deployments. You will work closely with cross-functional teams to ensure our software is reliably configured, deployed, and maintained in an on-prem environment.

Key Responsibilities

Backend Development: Design, develop, and maintain backend services and APIs using Python (Django or Flask).

On-Prem Deployment: Install, configure, and manage software on on-premises hardware, including servers and networking equipment.

Database Management: Design database schemas, write efficient queries, and optimize data access layers (PostgreSQL, MySQL, etc.).

API Integration: Implement and maintain RESTful APIs and integrate with third-party services.

Troubleshooting & Debugging: Diagnose and resolve application and infrastructure issues to ensure high availability.

Version Control & CI/CD: Use Git for version control and contribute to continuous integration and delivery pipelines (GitHub Actions, Jenkins, etc.).

Security & Compliance: Work with the team to ensure software and infrastructure meet security and compliance requirements.

Documentation: Maintain clear, comprehensive documentation for your code, configurations, and on-prem deployment processes.

We focus on client adoption of disruptive technologies, technology architecture and providing specialized skills related to integration, custom software engineering, testing, application modernization, agile and more. We help our clients with the most complex projects including working in open web platforms, DevOps platforms as well as intelligent Computing and Architecture enhancement.

We are looking for hands on, smart thinking Applications developer to join our fast-growing team of talented professionals. You will have the opportunity to work on large enterprise solutions and deliver solutions that deliver business performance for our customers.

WORK YOU’LL DO

• Design and develop microservices/APIs using either Java/Spring boot, ISTIO, Kubernetes, Docker, CI / CD Pipelines
• You would scale micro services using Kafka or similar messaging systems.
• Collaborate with clients, architects, and application architectures to understand the operational objectives and purpose of the future system integration.
• Understand the points of integration between the different systems and highlight the potential risks associated with the delivery of solutions
• Collaborate with Functional Designers and Developers in order to find best solutions
• Produce detailed functional and technical specifications.
• Assist in producing solutions with threat assessments and associated security awareness.
•  

WHAT WE ARE LOOKING FOR

• 5- 8 years of hands-on experience designing and developing microservices using either Java/Spring Boot
• 3-5 years of experience with system integration
• Minimum of 3 years of relevant experience with API concepts and technologies such as REST, JSON, XML, SOAP, YAML, GraphQL, and Swagger
• Experience developing within agile methodology using CI/CD pipeline
• Experienced in 3-tier, n-tier, cloud computing, microservices architectures and SOA.
• Good knowledge of integration architectures
• Experience supporting and/or implementing complex integration projects
• Excellent client management skills
• Experience with Data modelling would be an asset

QUALIFICATIONS

• Experience of working in an Agile Environment
• Ability to drive design from Stories and Requirements
• Adept at UML, Design Patterns, Reusable Services Development,
• Knowledge on Scaling Microservices

Responsibilities:

• Design and implement backend infrastructure and APIs.

• Write high quality code that is robust, readable and scales.

• Possess the drive to dive deep. thrive and progress even in ambiguous situations.

• Encourage and support knowledge sharing within teams and external groups.

• Troubleshoot & debug applications.

• Adopt problem solving as a way of life - always go to the root cause.

• Collaborate with the team to discuss and implement ideas.

• Build responsive, robust and optimised applications.

Requirements:

• Passionate about building backend systems.

• Desire to explore new ideas, open to other ideas as well.

• Love for writing clean, beautiful, readable and testable code.

• Experience in designing extensible DRY code.

• Our stack is based on Django, Python3 Celery, Angular and Postgres.

• We expect you to have a good understanding of Python. It's even better if you are familiar with some of Git. Django, Celery, Redis and Unix Shell.

Roles & Responsibilities:

• Excellent problem-solving & analytical skills & OO principles
• Solid understanding of the data structure & algorithms.
• Expert knowledge with any one of the Javascript Framework such as Node Js.
• Any additional experience with Java or python, GoLang would be nice to have.
• Experience working with SQL database like MySQL or PostgreSQL
• Experience working with NoSQL databases like mongoDB, couchbase would be nice to have
• Working experience with cache like redis, mem cached or elasticache would be nice to have
• Working experience with Message Queues would be a great advantage.
• Experience with deployment & AWS would be nice to have
• Ability to do in depth analysis or problem statement or use case & Build robust & scalable architecture
• Logging & monitoring of the production system in real time
• Lead a team of 2-4 team members & make sure team practices defined coding practices across the project.