Data 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!)

Advanced Backend Development: Design, build, and maintain efficient, reusable, and reliable Python code. Develop complex backend services using FastAPI, MongoDB, and Postgres.

Microservices Architecture Design: Lead the design and implementation of a scalable microservices architecture, ensuring systems are robust and reliable.

Database Management and Optimization: Oversee and optimize the performance of MongoDB and Postgres databases, ensuring data integrity and security.

Message Broker Implementation: Implement and manage sophisticated message broker systems like RabbitMQ or Kafka for asynchronous processing and inter-service communication.

Git and Version Control Expertise: Utilize Git for sophisticated source code management. Lead code reviews and maintain high standards in code quality.

Project and Team Management: Manage backend development projects, coordinating with cross-functional teams. Mentor junior developers and contribute to team growth and skill development. Cloud Infrastructure Management: Extensive work with cloud services, specifically Google Cloud Platform (GCP), for deployment, scaling, and management of applications.

Performance Tuning and Optimization: Focus on optimizing applications for maximum speed, efficiency, and scalability.

Unit Testing and Quality Assurance: Develop and maintain thorough unit tests for all developed code. Lead initiatives in test-driven development (TDD) to ensure code quality and reliability.

 Security Best Practices: Implement and advocate for security best practices, data protection protocols, and compliance standards across all backend services.

Role

You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc

Qualifications 

• BS or MS in Computer Science or relevant field.
• 4+ years experience in backend software development
• Be able to design high-throughput scalable backend systems
• Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
• Proficiency in Python.
• Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
• Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)

Job Title: Senior Python Developer with AWS

Company: P99soft

Experience: 6+ years

Location: Hyderabad

Job Description:

P99soft, a leading technology company, is seeking a talented Senior Python Developer with expertise in AWS to join our dynamic team in Hyderabad. As a Senior Python Developer, you will play a key role in designing, implementing, and maintaining robust and scalable software solutions. If you have a passion for Python development and extensive experience with AWS technologies, we encourage you to apply and be a part of our innovative and collaborative work environment.

Responsibilities:

• Design, develop, test, and deploy high-performance and scalable Python applications.
• Collaborate with cross-functional teams to define and implement innovative solutions for the company's software needs.
• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Utilize your expertise in AWS services to architect and implement cloud-based solutions.
• Troubleshoot and debug issues, ensuring the overall quality and performance of the software.
• Stay updated on industry trends and best practices to continuously improve software development processes.
• 
  

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Senior Python Developer with a minimum of 6 years of hands-on development experience.
• Strong proficiency in Python and experience with popular frameworks such as Django or Flask.
• In-depth knowledge of AWS services and experience with cloud-based architecture.
• Solid understanding of software development principles, design patterns, and best practices.
• Experience with database systems, both SQL and NoSQL.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.

How to Apply:

If you have a passion for backend development, possess the required experience, and are excited about contributing to innovative projects, we invite you to apply. Please submit your resume, cover letter, and any relevant portfolio or project samples to Anusha Kalidindi/Sravani Chiruvolu

P99soft is an equal opportunity employer, dedicated to fostering diversity and creating an inclusive workplace for all employees.

Backend Developer (Python)

Company and Founders
Egregore Labs (http://www.egregorelabs.com/">www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology. More about the founders is available here and here

We operate at the intersection of Unstructured Data and Finance. We run multiple products, including Romulus (http://www.romulus.co/">www.romulus.co) and Robana (http://www.robana.ai/">www.robana.ai) - all our products work on the same underlying principles and set of technologies.

Ideal Background

• At least 2 years experience in back-end development in a fast-paced environment, working in Python
• Deep understanding of technologies used in web-deployed SaaS products, including Rest APIs
• Exposure to AWS, Azure or other cloud providers
• Sound understanding of computer science principles
• Exposure to any of the following
• Financial services
• Natural Language Processing
• Robotic Process Automation
• Intelligent Document Processing
• Document Management and Repositories

Opportunity
We will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:

• Developing APIs and endpoints for deployments of our product
• Infrastructure Development such as building databases, creating and maintaining automated jobs
• Build out the back-end to deploy and scale our product
• Build POCs for client deployments
• Integrate our products with 3rd party products/tools/services
• Document your code, write test cases, etc.

Skills

• Hands-on experience with Python (2+ years)
• Sound understanding of Postgres and NoSQL databases such as MongoDB
• Deep familiarity with UNIX, major cloud platforms (AWS, Azure), DevOps
• Understanding of databases, and related tools, paradigms
• A computer science education would be great, but other engineering disciplines are ok as well

Desirables
We are looking for a person who has :

• Resourcefulness- - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
• Ownership- - We like to be directive and not prescriptive in our management. We- d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
• Work Ethic- - We- ve grown up on Wall Street. We work hard, and have aggressive goals. We want our team-mates to be focused, goal-oriented and consistent high achievers.
• Execution Focus- - Our business is about getting things done, and getting things done right. We want outcome focused colleagues who can multi-task, and execute quickly and elegantly.

Work From Home

Package: 7-12 LPA

Job Responsibilities
● Implement and maintain Django-based applications

● Use server-side logic to integrate user-facing elements.

● Develop software related to asset management

● Write and implement software solutions that integrate different systems.

● Identify and suggest various opportunities to improve efficiency and functionality.

● Coordinating the workflow between the graphic designer, the HTML coder, and yourself

● Creating self-contained, reusable, and testable modules and components

● Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

● Unit-test code for robustness, including edge cases, usability, and general reliability.

● Should have the ability to work with old and new versions of django.

● Understand existing code base and adapt to business needs as required

Required Skills
● 3 years experience in software industry

● Minimum 2 year experience in Python

● Minimum 1 Year experience in Django

● Basic understanding of front end technologies like HTML, CSS, JavaScript and jQuery

● Ability to build user interfaces using the latest web standards

● Familiarity with event-driven programming in Python

● Able to create database schemas that represent and support business processes

● Strong unit test and debugging skills

● Experience working in Linux

● Excellent problem solving skills

● Excellent verbal and written communication skills

● Ability to work well in a team development environment

• No day is the same - you will create technical designs that support varying client requirements
• You'll design and develop full-stack web applications using the latest web technologies, primarily Python and Django
• Write code/unit tests and be part of the test-driven development environment
• Leverage your skills in industry-standard tools to deliver weekly code releases
• You'll work in a no silos environment, frequently collaborating with global teams and roles across the organization

Who you are:

• 7+ years of experience developing great web applications
• You can build products from scratch
• You have expertise in the Django backend framework
• You are fluent in the Python language
• You have dabbled in any one of these front-end frameworks - Angular, React, Vue
• You understand when to use NoSQL vs. relational database
• you understand reporting/dashboards framework
• You are comfortable working up and down the stack
• You are able to convert ideas into designs and build them out
• Benefit if you have worked with payment gateways such as visa, Mastercard, etc.