
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

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NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)
Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader
📍Location: Bengaluru, India (Hybrid / On-Site)
🏢Sector: Technology, Information & Media
👥Company Size: 500 – 1,000 Employees
💼Employment: Full-Time, Permanent
🎯Experience: 6 – 9 Years (Backend Engineering)
🚀 Level: Tech Lead
ABOUT THIS MANDATE
Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.
This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.
We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.
THE OPPORTUNITY AT A GLANCE
🏗️ Architecture Ownership
Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.
🤖 AI-Augmented Engineering
Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.
🎓 Engineering Leadership
Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.
KEY RESPONSIBILITIES
1. Architecture & Platform Modernisation
- Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
- Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
- Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
- Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
- Establish backend design standards, coding guidelines, and architectural review processes
2. Distributed Systems Engineering (Production-Grade)
- Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
- Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
- Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
- Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
- Apply Saga orchestration and choreography patterns for distributed transaction integrity
- Execute zero-downtime deployments and canary release strategies with rollback capability
- Design and enforce multi-region disaster recovery and business continuity protocols
3. AI-Driven Engineering Practices
- Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
- Apply prompt engineering techniques for automated code generation, review, and documentation workflows
- Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
- Build automation-first pipelines that reduce toil and accelerate delivery velocity
- Evaluate and integrate emerging AI developer tools into the engineering ecosystem
4. Engineering Leadership & Culture
- Own backend platforms end-to-end with full accountability across development, stability, and performance
- Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
- Drive and lead technical hiring — from designing assessments to final hire decisions
- Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
- Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
- Foster a culture of technical excellence, psychological safety, and high-velocity delivery
TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)
Languages: Java (primary) · Go · Python · Node.js · PHP · Rust
Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)
Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)
Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch
Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub
Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack
CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible
AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor
QUALIFICATIONS & CANDIDATE PROFILE
Education
- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
- Exceptional real-world engineering track record may be considered in lieu of institution pedigree
Experience
- 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
- Proven track record of shipping and scaling production SaaS / Product systems at significant user load
- Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
- Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
- Demonstrated career stability — minimum 2 years average tenure per organisation
- The Ideal Candidate Exemplifies
- System-level thinking with an ability to hold context across code, architecture, product, and business
- An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
- Strong written and verbal communication skills for asynchronous, cross-functional collaboration
- Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
- Bias for automation, observability, and engineering efficiency at every level
- A mentor's instinct — genuine desire to grow others and raise the capability of the team around them
WHY THIS ROLE STANDS APART
✅ Transformational Scope
Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.
✅ AI-Forward Engineering Culture
Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.
✅ Established, Stable Platform
Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.
✅ Career-Defining Leadership
Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.
HOW TO APPLY
This search is being managed exclusively by Recruiting Bond
Submit your application with an updated resume
Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.
⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.
Recruiting Bond | Bengaluru, Karnataka, India | 2026
We are looking for a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐉𝐚𝐯𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 who is passionate about 𝐝𝐞𝐞𝐩 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 at scale.
This role is 𝐧𝐨𝐭 about basic API development or framework-heavy work. You will be part of the 𝐜𝐨𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦, working close to the heart of the product where 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐧𝐞𝐬𝐬 𝐭𝐫𝐮𝐥𝐲 𝐦𝐚𝐭𝐭𝐞𝐫.
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐃𝐨
▪️ Design and build 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that operate reliably under heavy load
▪️Develop and implement 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 for complex, real-world business problems
▪️Identify and resolve 𝐂𝐏𝐔, 𝐦𝐞𝐦𝐨𝐫𝐲, 𝐈/𝐎, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬
▪️Build backend services where 𝐥𝐚𝐭𝐞𝐧𝐜𝐲, 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭, 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 are critical
▪️Own 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 & 𝐏𝐃𝐅 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 end-to-end, including:
- Composition
- Rendering
- Optimization
- High-volume document generation
▪️Make 𝐬𝐭𝐫𝐨𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 and take ownership of backend architecture
▪️Mentor engineers by setting 𝐡𝐢𝐠𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬
𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞
▪️𝟓 𝐭𝐨 𝟏𝟎+ years of strong backend engineering experience
▪️Excellent expertise in 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚 (𝐉𝐚𝐯𝐚 𝟖+) 𝐚𝐧𝐝 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
▪️Strong knowledge of:
- Data Structures & Algorithms
- Multithreading and concurrency
- JVM internals and memory management
▪️ Proven experience designing 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬
▪️Deep backend experience 𝐮𝐬𝐢𝐧𝐠 𝐒𝐩𝐫𝐢𝐧𝐠 / 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
▪️Strong understanding of:
- API design principles
- Fault tolerance and resilience
- Performance tuning and profiling
▪️Ability to reason about time and space complexity
▪️Solid database fundamentals:
- Query optimization Indexing
- Transaction management
𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫
Engineers who enjoy solving hard problems, not just wiring frameworks
Strong analytical thinking with a focus on trade-offs and optimizations
High ownership mindset with attention to performance and maintainability
📩 Interested candidates can apply
Role Responsibilities:
- Development and Maintenance of REST APIs: Lead the creation and management of our RESTful APIs, ensuring top-notch performance and alignment with evolving requirements.
- Proficiency in Coding: We're in search of expertise in Python or equivalent programming languages. Your coding skills will play a pivotal role in delivering high-quality (efficient, reusable, testable, and scalable) solutions.
- Unit and Integration Testing: Apply your expertise to craft unit and integration tests, upholding code quality and reliability.
- Version Control Systems: Proficiency in Distributed Version Control Systems is vital for seamless collaboration during development.
- Elasticsearch Expertise: Having valuable experience with Elasticsearch is a plus, given its critical role in data retrieval and search functionalities.
- NOSQL Database Familiarity: Knowledge of NOSQL databases like Cassandra and MongoDB will be advantageous.
- Message Broker Knowledge: Understanding message brokers, especially RabbitMQ, is beneficial for effective communication within our systems.
Desired Qualifications:
- Experience: 1-2 years of hands-on experience as a Python developer.
- AWS: Proficiency in AWS cloud management and architecting enterprise data solutions.
- Pragmatic Problem-Solving: Recognize when a solution should be streamlined and when creating the right abstraction will lead to long-term efficiency gains.
- Passion for Quality: Demonstrate dedication to producing work of the highest quality and following best practices.
- Agile/Lean Process: Familiarity with Agile/Lean methodologies is a plus, reflecting your adaptability and collaborative spirit.
- Startup Mindset: Embrace the challenges and opportunities of a startup environment, contributing your skills and insights to our growth.
- Debugging and Optimization: Showcase excellent debugging and optimization capabilities to enhance system performance.
- Tech Awareness: Stay updated on emerging technologies and possess a solid understanding of the full product development life cycle.
- UX and Information Architecture: Exhibit excellent knowledge of mobile user experience, information architecture, and industry trends.
Worked in Python Flask framework / or similarhttps://anuntatech.turbohire.co/jobdescription/3a6dd0d3-75f4-49b7-9378-0b2b336cec36?utm_source=CareerPage">Django building REST APIs.
Worked in Linux Environment.
Would be an advantage if they have Domain knowledge in Virtualization Or Cloud platformshttps://anuntatech.turbohire.co/jobdescription/3a6dd0d3-75f4-49b7-9378-0b2b336cec36?utm_source=CareerPage">Azure, AWS, or Computer networking.
It is added advantage to have C++ Application programming.
- Should have experience in supporting the application and infrastructure 24x7.
- Should have good working knowledge on troubleshooting skills of Operating Systems (Linux/Windows)
- Good experience on Java/j2EE application supporting and AWS infra supporting.
- Ability to work with 3rd parties/FOPS and provide required instruction to troubleshoot and restore faults.
- Respond quickly and effectively to production issues, troubleshooting solutions, and taking responsibility for seeing those solutions through resolution.
- Identify root cause and corrective actions for highly complex availability, capacity, security, performance, and quality issues affecting the database.
- Strong knowledge of Linux/Unix operating system.
- Good knowledge in scripting languages like Shell, Python.
- Good Knowledge on Databases like Mongo, Mysql, SQL Server.
- Respond to alerts and take corrective action to ensure the high-availability of our production environments and participate in an after-hours on-call rotation.
- Experience/Knowledge of other cloud platforms (Azure, Google Cloud) is a plus
- Strong verbal and written communications skills are a must
- Must have production support experience as the requirement is 24X7X365 production support.
Backend - Software Development Engineer-III
Responsibilities:-
- Research, design and build highly reliable, available and scalable platforms
- Explore design implications and work towards an appropriate balance between functionality, performance, and maintainability.
- Lead by example, mentor and guide team members on everything from structured problem solving to development of best practices
- Own large technical deliverables and execute in an exemplary way
- Be able to conceptualize and develop prototype quickly
- Working with a cross-discipline team of Design, Product, Data Science and Analytics team.
- Active participation in the hiring process to bring quality engineers in the team.
Requirements:-
- Strong proficiency in Javascript and TypeScript
- Strong proficiency of Node.js and frameworks available for it such as Express
- Strong understanding and experience of creating highly scalable and complex database design
- Good understanding of Data Modeling using RDBMS and NoSQL(Cassandra, MongoDB, ElasticSearch, Redis) data stores
- Strong problem-solving skills with a good understanding of data structures and algorithms
- Strong understanding of front-end technologies, such as HTML5, and CSS3
- User authentication and authorization between multiple systems, servers, and environments
- Experience of creating highly scalable, fault tolerant, resilient distributed systems
- Strong knowledge of creating scalable system design and good understanding of microservice based architectures
- Understanding of caching enabled, PubSub and event driven architectures
- Hands on experience and good knowledge of AWS services
- Understanding automated testing platforms like selenium and unit tests like Chai, Mocha, Jasmine etc
- Proficient understanding of code versioning tools, such as Git
- E/B.Tech/M.E./M.Tech/M.S.
- Curiosity to explore the cutting edge technologies and bake them in the products.
- Zeal and drive to take end to end ownership.
- 5+ years of experience in back end development preferably in microservice environment.
Need Backend developer who has done projects in Golang, C
- discussing clients’ requirements and proposed solutions with a senior developer (for developers at mid-skill level and below)
- writing and testing code
- collaborating with other developers
- using development tools (see below)
Development tools are used by software developers to write and test code, often as a team. Common development tools include:
- integrated development environments (eg Eclipse, IntelliJ): for writing and editing code
- source control management (eg Git, SVN, Mercurial): to enable teams to work together to manage changes to source code
- issue management systems (eg Jira): for managing a list of issues or improvements
- test driven development: for writing code to test your code










