
Hiring: AWS DevOps Developer
📍 Location: Bangalore
🧑💻 Experience: 4–7 Years
📌 Job Summary
We are looking for a skilled AWS DevOps Developer with strong experience in AWS cloud infrastructure, CI/CD automation, containerization, and Infrastructure as Code. The ideal candidate should have hands-on experience building scalable and secure cloud environments.
🛠 Required Technical Skills
☁️ AWS Services
- Amazon EC2
- Amazon S3
- IAM
- VPC
- Amazon EKS
- RDS
- Route 53
- CloudWatch
- AWS Lambda
🔄 DevOps & CI/CD
- Jenkins (Pipelines, Shared Libraries)
- Git / GitHub
- Maven / Build tools
- CI/CD pipeline design & implementation
🐳 Containers & Orchestration
- Docker
- Kubernetes (EKS preferred)
- Helm
🏗 Infrastructure as Code
- Terraform
- Ansible
📊 Monitoring & Logging
- CloudWatch
- Prometheus
- Grafana
📋 Roles & Responsibilities
- Design and implement scalable AWS infrastructure
- Build and maintain CI/CD pipelines
- Deploy containerized applications using Docker & Kubernetes
- Automate infrastructure provisioning using Terraform
- Implement monitoring and alerting solutions
- Ensure security, compliance, and cost optimization
- Troubleshoot production issues and improve system reliability
➕ Good to Have
- AWS Certification (Solutions Architect / DevOps Engineer)
- Experience with Microservices architecture
- Knowledge of DevSecOps practices
- Experience in Agile methodology

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Role & Responsibilities
As a Senior GenAI Engineer you will own the AI layer of our product — building the features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role. You will build production AI systems that enterprise clients depend on, which means reliability, observability, and rigorous evals matter as much as the AI capability itself. You own the full vertical — the model, the pipeline, and the UI.
- Build and own CS Copilot — a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions
- Build LLM-powered document understanding features — extracting structured, reliable data from unstructured enterprise documents
- Own AI feature UIs end-to-end — you build the interface, not just the model integration layer
- Design and maintain an eval framework — define what 'working' means for each AI feature and catch regressions before users do
- Drive model selection and integration decisions — choosing the right provider and approach for each use case, managing latency and cost
- Own AI platform reliability — observability, fallback behaviour, and graceful degradation when models fail
- Work closely with product, customer success, and the full-stack engineer — AI features only matter if they are usable and trusted by real users
THE IMPACT YOU'LL MAKE-
- You will define what AI means at Zenskar — the features you ship will be the most visible and differentiated parts of the product
- CS Copilot, if done well, changes how enterprise customer success teams operate every single day — this is a high-stakes, high-visibility surface
- You will establish the engineering culture around AI reliability at Zenskar — evals, observability, and disciplined iteration
- Your work will directly accelerate enterprise deals — AI features are increasingly a buying criterion for our clients
- You will be the person who brings engineering rigour to a domain where most companies ship demos and call it a feature
Ideal Candidate
- Strong Senior GenAI / AI Backend Engineer Profiles
- Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
- Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
- Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
- Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
- Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
- Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
- Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
- Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
- Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
- Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
- Mandatory (Company) – Product companies / startups, preferably Series A to Series D
- Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs
- Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
- Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
- Preferred (Skill) – Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)
- Preferred (Frontend) – Basic ability to build or contribute to frontend (React or similar)
- Highly Preferred (Education) – Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)
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
- Azure Integration Developer (Azure Functions, Azure LogicApp, Azure APIM)
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- Technically sound in Dot Net technology. Good working knowledge & experience in Web API and SQL Server
- Should be able to carry out requirement analysis, design, coding unit testing and support to fix defects reported during QA, UAT phases and at GO Live times.
- Able to work alone or as part of a team with minimal or no supervision from Delivery leads.
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Must have skill
- Strong Web API development using ASP.Net Core, Logic app, azure functions, APIM
- Azure Functions
- Azure Logic App
- Azure APIM
- Azure ServiceBus
Desirable Skills
- Azure Event Grid/Hub
- Azure KeyVault
- Azure SQL – Knowledge on SQL query

Work Location- PAN India
We are looking for a Flutter Developer responsible for creating multi-platform apps for iOS and Android using Google's Flutter development framework. The primary focus will be on creating new experiences and maintaining existing apps. Deep experience contributing to and managing high-scale production mobile apps. You must have strong previous experience in Flutter and Dart development.
Requirements :
• Good exposure to integration projects.
• Hands-on experience and expertise in Building interfaces with Android SDK, Android Studio and development.
• Rest Api knowledge.
• Expertise in Android Flutter.
• Passion for best design and coding practices and a desire to develop new creative ideas.
• Skills required teamwork, leadership, and self-motivated.
• Adaptive to learn any technology.
Responsibilities :
• Design and Build sophisticated and highly salable apps using Flutter.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and APIs.
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Job Description for Java Developer (Hinjewadi, Pune)
About the Position:- We at nCircle Tech aspire to be an organization that provides exciting and challenging work to build next-generation software built using the latest technologies. We are looking for techno enthusiast software developers with a very good understanding & experience of web & cloud-based software development for providing value to our customers.
This position requires you to work on cutting edge, mission critical Java / J2EE based enterprise software applications with opportunity to work on the latest cloud computing and collaborative technologies.
Your key responsibilities would include:
Responsibilities:
● Develop different modules, features of a given application as per the requirements.
● Write scalable code as per standard coding practices
● Ensure effective use of proper tools & adherence to the software development process.
● Involve in troubleshooting, Unit Testing, peer review as required
● Actively participate in daily standups, client meetings & demo as required
● Assist in effort estimations, technical documentation, interview process as required.
This is You:
● Have 2+ years proven experience in core Java, J2EE and have excellent codecraft
● Have hands-on experience in application development using Spring, JBoss.
● Knowledge of Hibernate & Web Services (Rest/SOAP) would be added advantage
● Have strong fundamental background on OOPs concepts
● Excellent communication and teamwork skills
● Great attention to detail and meeting sprint and project deadlines
● Someone who takes ownership of assigned tasks proactively
Preferred Qualification: ● B.Tech, B.E, M.Tech, MCA, MSc.Computers
BENEFITS :
● Hybrid working in-line with Govt / SEZ norms
● 5 day working week with flexible working times
● Standard healthcare benefits with family floater ( self + spouse + upto 2 kids)
● Flexible salary structure ( NPS / LTA / Meal Card ) benefits
● Frequent training, online library and subscriptions
● Attractive Referral Bonus if you bring other talented people like you
● Attractive rewards & recognition scheme
o Create content
o Media Pitching
o Set strategies for the team
o Check the drafts from associates and oversee the Associate's work
o Work on monthly dossiers and other documents
o Strong relationships with the team and the media
o Solving concerns of the team (if and when, any)
o Assist in cracking opportunities (where required)
o Ensure operational excellence (dossiers & reviews)
Their beauty brand offers a wide range of luxurious skincare and hair-care products specially designed for new moms. They use natural ingredients in their products that ensure that every mother’s skin and hair becomes trouble-free, glowing and manageable. Their healing and repairing formula are certified by the strictest international standards with regards to safety needed in beauty products.
Founded by an MDI alumna with expansive knowledge and experience with beauty, wellness and healthcare leader, it is truly a world-class range exporting to various countries across the globe.
What you will do:
- Managing e-commerce marketplaces such as Amazon, Flipkart, Nykaa, 1mg, Purplle, HealthKart etc. and strategizing methods to increase online sales and profitability
- Categorizing, listing and positioning the company’s products in various Ecommerce platforms and generating interest in the same for the right audience
- Researching and analyzing new market trends and technologies to improve sales performance
- Participating in the planning/forecasting of relevant budgets
- Collecting and working on the feedback given by customers in the marketplaces regarding the company’s products
- Handling day-to-day related operations such as merchandising, customer service, post listings, promotions, maintenance etc. to increase sales
- Monitoring all the alerts from the marketplaces and ensuring that the concerns/emergencies are handled in a timely manner
- Updating and maintaining Ecommerce sales data and reporting the same to the management in regular intervals
- Working closely with internal stakeholders such as various teams and also external stakeholders such as various Ecommerce platforms
Desired Candidate Profile
What you need to have:- Graduation is a must
- Relevant work experience of 5 – 10 years in managing sales in Ecommerce Marketplaces
- Prior experience in D2C brands - beauty and wellness category is desirable
- Excellent communication skills
- High organization with strong project management and strong time management skills
Job Summary
- Accountable & Responsible for delivering initiatives and projects for region and country focused on implementing Web Analytics, Mobile app Analytics
- Spearhead Adobe Analytics implementation by working with Digital Customer Experience and Digital Sales & Marketing team
- Conduct and document journey walkthrough ensuring all scenarios, customer interactions are captured
- Understand business measurement requirements and translate these requirements into Solution Design Reference (SDR)
- Prepare tagging specifications in line with approved SDR
- Conduct QA on Adobe Analytics implementation
- Ensure tagging process governance, documenting all the necessary artefacts and approvals
- Mentor juniors in the team and train them on tools/techniques required for day to day deliverables
- Work with production teams & vendors to efficiently develop, implement, and maintain tracking strategies to seamlessly integrate other customer-level data
- 6+ years of experience in implementing Web Analytics & Mobile app Analytics, exposure to financial services domain is an added advantage
- Deep expertise & experience in implementing Adobe Analytics (Omniture) for complex requirements and maintaining JavaScript libraries
- Expert in implementing Adobe DTM/Launch web properties, Variables (eVars, Props, Events) and Rules (On-Page, Event and Direct Calls)
- Hands-on experience of working with clickstream data
- Experience with multi-channel and cross-channel attribution
- Ability to clearly and concisely articulate the problem, approach and recommendations to both technical and business audience
- Expertise and experience leveraging Adobe Analytics to access web/mobile performance data, use the data and visualization to check data-collection accuracy and perform basic digital analysis
- Ability to think strategically, and then follow-through with detail-orientation, execution and managing competing priorities
- Strong negotiation and influencing skills
- Strong executive presence, communication, presentation and story-telling skills
- Self-motivated and good team player
- Bachelor degree or above in any of the following disciplines: Computer Science, Mathematics, Statistics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability
- MBA or PGDM would have an added advantage
- 8+ years of experience in Product Development especially in Healthcare Domain
- Technical project managers are tasked with managing projects with top-down oversight from inception to completion
- They must also develop project plans that meet client needs
- Decent Communication Skills and quick in understanding the tasks
- Coordinate with technical team members at all stages of the project







