Python Architect / Developer

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Python Developer (Performance Optimization Focus)

Experience: 3–5 Years

Location: Remote (India-based candidates only)

Employment Type: Full-time

Role Overview

We are seeking a Python Developer with a strong focus on performance optimization and system efficiency. In this role, you will identify bottlenecks, enhance system performance, and contribute to building scalable, high-performance applications in a Linux-based environment.

Key Responsibilities

• Analyze and troubleshoot performance bottlenecks in applications and systems
• Optimize code, database queries, and architecture for scalability and speed
• Design, develop, test, and maintain robust Python applications
• Work with large datasets and improve data processing efficiency
• Collaborate with cross-functional teams to improve system reliability and performance
• Monitor system performance and implement proactive improvements
• Write clean, maintainable, and efficient code following best practices

Required Skills & Qualifications

• 3–5 years of hands-on experience in Python development
• Strong expertise in performance tuning and optimization techniques
• Experience with debugging and profiling tools
• Solid understanding of data structures and algorithms
• Experience with REST APIs and backend development
• Strong analytical and problem-solving skills

Linux & System Knowledge (Must-Have)

• Comfortable working in Linux/Unix environments
• Command-line proficiency, including:
• File editing (vi, nano)
• File permissions (chmod, chown)
• File downloads (wget, curl)
• Basic file and directory operations

Basic Python Knowledge (Interview Scope)

• Writing simple scripts and reusable functions
• String manipulation and data handling
• Example task: Count words in a file/string efficiently

Good to Have

• Familiarity with AI/ML concepts or tools
• Experience optimizing data-intensive or distributed systems
• Exposure to cloud platforms (AWS, GCP, Azure)

Why Join Us

• Work on performance-critical systems with real-world impact
• Fully remote work environment
• Opportunity to work with modern, scalable technologies
• Collaborative, growth-focused team culture

About the company

Adia makes clinicians better diagnosticians. Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a highly skilled backend engineer specializing in integrations and platform development to join our dynamic team. The ideal candidate will have a background working in a complex domain and have a proven track record of success. This role requires a deep understanding of backend technologies, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. 

Key Responsibilities 

1. Design, implement, and maintain scalable and secure integrations with third-party systems and APIs to enable seamless data exchange and functionality. 
2. Develop and maintain internal platform services and APIs to support various product features and business requirements. 
3. Collaborate with cross-functional teams to ensure smooth integration of backend services with user-facing applications. 
4. Work closely with product managers and stakeholders to understand integration requirements and translate them into technical solutions. 
5. Identify opportunities for performance optimization, scalability improvements, and system enhancements within the integration and platform infrastructure. 
6. Implement monitoring, logging, and alerting solutions to ensure the reliability and availability of integration services and platform components. 
7. Experience with HL7/FHIR is a huge plus. 

Qualifications 

• Bachlor's degree in Computer Science, Engineering, or a related field 
• Proven experience (5+ years) in backend development with expertise in building integrations and platform services 
• Proficiency in Node.js, JavaScript, TypeScript, MongoDB, SQL, noSQL, AWS (or other cloud providers like GCP or Azure) 
• Strong problem-solving skills and the ability to collaborate effectively with cross-functional teams in an agile environment 
• Experience working in a complex domain, ideally U.S. Healthcare 
• English fluency required 

• Lead the engineering effort across projects 
• Interface with key stakeholders and apply your technical proficiency across different stages including Application Architecture, Design and Development
• Understand client's business requirements and be able to map them to technology solutions and make them work
• Design and build modern solutions informed by a deep understanding of cloud architecture and how distributed systems operate at scale
• Provide regular support and guidance to teams on complex coding, issue resolution and execution 
• Establish and enforce best development and engineering practices including QA and DevOps
• Lead and manage your own team, but also get down to coding, testing, and designing solutions as and when needed
• Communicate effectively with teams, clients and business leaders within the company

• Minimum 6+ years of experience designing and building full stack applications using UI frameworks like Angular, React or Vue.JS and backend frameworks like Node.JS/ExpressJS or Python/Django/Flask or Laravel/Yii2/Symphony
• Minimum 2-3 years of experience as a Technical Lead mentoring team of 3 to 5 developers
• Strong knowlegde of cloud and distributed systems (AWS, GCP, Azure). Cloud certifications would be an added advantage.
• Deep knowledge of relational databases, SQL and NoSQL databases. Experience with Graph databases like Neo4j is desirable.
• Proficient in Git and CI-CD frameworks
• Strong communicator with visual, verbal, and writing skills to clearly articulate complex design problems and solutions
• Ability to work in an agile environment

About the Company:

Progcap is a Fintech and AI company that pioneers alternative credit scoring for small businesses using proprietary data from non-traditional sources. We aim to fuel credit to 100 million under-banked SMEs in the emerging markets worldwide with an initial focus on India.

Progcap is Sequoia-backed Series A startup, comprising of top tier talent from finance, technology, data science and operations. The Company is the recipient of the World Bank's "SME Product Innovation of the year", 2018 award, Madrid.

What you will be doing:

• Lead and provide first level supervision to project teams and ensures successful delivery of tasks assigned to the team along with sharing of project updates & related communication with stakeholders.
• Writing and ensuring reusable, testable, and efficient code.
• Managing data across multiple databases and providing analysis to stakeholders.
• Design and implementation of low-latency, high-availability, and performant applications.
• Implementation of security and data protection (permission classes and middleware.)
• Implementation of user authentication and authorization across multiple systems, servers, and environments.

What you bring:

• Should have minimum 4 years of experience in development using Python and 1 year in leading Python based projects.
• Strong experience in Application lifecycle management – development, testing and deployment.
• Strong understanding and experience with code version control tools (git, svn, etc.)
• Expert in Python with working experience on Django, AWS, Lambda, RDS, NoSQL, Docker, Kubernetes.
• Integration of data storage solutions redis, postgresql, mysql (big query, big table, pubsub, appengine).
• Strong in data structures and algorithms
• Preferably candidates with Financial/lending Applications development experience with any Fintech Co.