DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.
The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.
As a member of the Language Engineering team, you will:
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Identify bad code practices in Python and write new analyzers to detect them.
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Improve the coverage of automatically fixable issues.
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Ensure fewer false positives are reported by the analyzer.
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Work on the internal tools that support analysis runtimes.
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Contribute to open-source static analysis tools.
We’re looking for someone who has:
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Strong foundational knowledge in Computer Science.
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At least 2 years of professional software development experience in Python.
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Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
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Familiarity with Python best practices followed in the industry.
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Native experience with Linux/Unix environment.
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A focus on delivering high-quality code through strong testing practices.
We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

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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
Job Title : Python Developer – API Integration & AWS Deployment
Experience : 5+ Years
Location : Bangalore
Work Mode : Onsite
Job Overview :
We are seeking an experienced Python Developer with strong expertise in API development and AWS cloud deployment.
The ideal candidate will be responsible for building scalable RESTful APIs, automating power system simulations using PSS®E (psspy), and deploying automation workflows securely and efficiently on AWS.
Mandatory Skills : Python, FastAPI/Flask, PSS®E (psspy), RESTful API Development, AWS (EC2, Lambda, S3, EFS, API Gateway), AWS IAM, CloudWatch.
Key Responsibilities :
Python Development & API Integration :
- Design, build, and maintain RESTful APIs using FastAPI or Flask to interface with PSS®E.
- Automate simulations and workflows using the PSS®E Python API (psspy).
- Implement robust bulk case processing, result extraction, and automated reporting systems.
AWS Cloud Deployment :
- Deploy APIs and automation pipelines using AWS services such as EC2, Lambda, S3, EFS, and API Gateway.
- Apply cloud-native best practices to ensure reliability, scalability, and cost efficiency.
- Manage secure access control using AWS IAM, API keys, and implement monitoring using CloudWatch.
Required Skills :
- 5+ Years of professional experience in Python development.
- Hands-on experience with RESTful API development (FastAPI/Flask).
- Solid experience working with PSS®E and its psspy Python API.
- Strong understanding of AWS services, deployment, and best practices.
- Proficiency in automation, scripting, and report generation.
- Knowledge of cloud security and monitoring tools like IAM and CloudWatch.
Good to Have :
- Experience in power system simulation and electrical engineering concepts.
- Familiarity with CI/CD tools for AWS deployments.
Job Summary
We are looking for a Software Engineer with 3–5 years of experience in Python development, browser automation, Azure cloud technologies, and API development. The ideal candidate should have hands-on experience in building automation solutions, cloud-native applications, and backend services using Python while collaborating with cross-functional teams to deliver scalable and reliable enterprise solutions.
Key Responsibilities
* Design, develop, test, and maintain Python-based applications and automation solutions.
* Develop browser automation scripts for enterprise web applications using Python.
* Create robust and dynamic element selectors to handle changing web interfaces.
* Implement exception handling, retry mechanisms, logging, and monitoring in automation solutions.
* Develop solutions to handle authentication workflows and CAPTCHA scenarios where permitted.
* Build and maintain RESTful APIs using FastAPI or similar Python frameworks.
* Develop serverless applications using Azure Functions and integrate with Azure services.
* Design and implement integrations using Azure Logic Apps, Service Bus, Storage Accounts, and Key Vault.
* Deploy and manage applications using Azure Container Registry (ACR), Azure Container Apps, and Azure Container Instances (ACI).
* Configure and manage KEDA for event-driven application scaling.
* Develop and maintain frontend applications using React.js, Node.js, or similar modern JavaScript frameworks.
* Design and optimize database solutions using SQL Server, PostgreSQL, or Azure Cosmos DB.
* Troubleshoot production issues and implement permanent fixes.
* Participate in code reviews, testing, deployment, and release activities.
* Follow coding standards, security best practices, and application performance guidelines.
Required Skills
Python Development
* Strong experience in Python programming.
* Experience developing scalable backend applications and automation solutions.
* Experience with asynchronous programming and API integrations.
Browser Automation
* Hands-on experience in browser automation using Python libraries such as Playwright or Selenium.
* Experience creating dynamic selectors and handling dynamic web elements.
* Strong understanding of synchronization techniques, waits, retries, and exception handling.
* Experience implementing logging, monitoring, and debugging for automation solutions.
* Familiarity with CAPTCHA handling approaches and authentication workflows.
Azure Cloud
* Hands-on experience with Azure Functions.
* Experience with Azure Logic Apps.
* Experience using Azure Storage Accounts.
* Experience with Azure Service Bus.
* Experience with Azure Key Vault.
* Understanding of cloud-native application design and Azure security best practices.
Containerization & Deployment
* Experience with Azure Container Registry (ACR).
* Experience deploying applications to Azure Container Apps.
* Experience with Azure Container Instances (ACI).
* Experience configuring and managing KEDA for event-driven autoscaling.
* Familiarity with container-based deployments and application lifecycle management.
### API Development
* Experience building REST APIs using FastAPI or similar Python frameworks.
* Strong understanding of REST principles, JSON, authentication, and API integrations.
Databases
* Experience with SQL Server and/or PostgreSQL.
* Experience with Azure Cosmos DB.
* Ability to write efficient SQL queries and optimize database performance.
Frontend Development
* Experience with React.js, Node.js, or similar frontend technologies.
* Understanding of modern web application architecture and API consumption.
Additional Skills
* Experience with Git and version control.
* Strong debugging and analytical skills.
* Good communication and teamwork skills.
Preferred Skills
* Experience with OCR and document processing solutions.
* Experience with Azure AI or AI-based services.
* Experience with event-driven architectures.
* Experience working in Agile/Scrum environments.
* Experience with automation platforms such as UiPath is an added advantage.
Education
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
Role & Responsibilities
Design, develop, and implement high-quality software solutions for payment processing.
Maintain a regular release cadence and manage the product backlog.
Ensure timely and lossless communication across teams.
Uphold engineering values and best practices.
Collaborate with international teams to ensure successful product development and delivery.
Ideal Candidate
A strong technical background in software engineering and architecture, with experience in modern programming language
Ability to work independently with very little direction, taking full ownership of projects.
Identifying blind spots, anticipate challenges, and prioritize work effectively
Exceptional communication and organizational skills.
A Bachelor's degree in Computer Science, Engineering, or equivalent experience.
8+ years of relevant experience preferred
Proficiency using Python, Kafka, Kubernetes, and AWS
Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.
Experience with RDBMS/SQL is also preferred.
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
Must have - Strong python
Responsibilities
- Software Engineering
- Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal guidance for a market leader in the logistics industry
- Partner with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team
- Research new technologies and tools that enable building the next generation of our services
- Provide technology leadership to the team and foster engineering excellence
- Product Delivery
- Partner with product managers to define and execute on the feature roadmap
- Translate business requirements into scalable and extensible design
- Coordinate with various cross functional teams on planning and execution
- Maintaining automated build / test / deployment environments
Qualifications
- Software Engineering
- Deep knowledge of one of the programming language they have experience in
- Proficient in OOP and Design Patterns, experience with functional programming would be a plus
- Data modelling experience in Relational Databases
- Ability to design and implement low latency RESTful services
- Product Delivery
- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks.
- Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management
- Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools
- Product Maintenance
- Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks etc
- Continuously refactor applications to ensure high quality design
Looking for a Python Backend Developer to join our client’s award-winning, talented team,
building the next generation automated drone applications for our global customers.
Some Roles/Responsibilities
● Designing, implementing and deploying updates, features to the company’s cloud
backend system. The work typically requires writing RESTful APIs.
● Derive key metrics from the system to estimate system health and performance.
● Prepare automated test suites for continuous health monitoring of the backend
systems.
● Perform load testing to understand potential scale issues and take corrective
measures.
● Integrate tools for incidence report and response, to ensure high availability of
the backend system.
● Drive Security practices implementation. (Troubleshoot incidents, identify root
cause, configuration, fix and document problems, patching systems for
vulnerabilities, and implement preventive measures)
● Maintain codes, users and API documentation.
● Setting up the CI/CD automation environment for web applications using
Jenkins/ECS.
● Manage Linux Virtual machines on EC2 ensuring correct VPC, Security Group
settings.
● Integrate automated data pipelines to enable analysis of usage patterns on 3rd
party analytics platforms.
Experience required: 3+ years relevant experience
Must Haves Skils-
Flask/Django, Python Backend Exp, Exp in Websockets, Async IO
Notice Period- Immediate/1months/ 2 months negotiable











