PythonRole & 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)
Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
GitJob Title : Python Backend Developer
Experience : 3 to 6 Years / 6 to 8 Years
Location : Remote
Shift : US Shift (7:30 PM IST – 4:30 AM IST)
Open Positions : 2
Job Summary :
We are looking for a skilled Python Backend Developer to design, develop, and maintain scalable backend applications and RESTful APIs.
The ideal candidate should have strong hands-on experience with Python, backend architecture, and database integration. Exposure to Jasper Reports and Oracle PL/SQL will be an added advantage.
Mandatory Skills :
Python, REST API Development, Backend Architecture, Relational Databases, Git (Jasper Reports & Oracle PL/SQL experience preferred).
Key Responsibilities :
- Develop and maintain backend applications using Python.
- Design and build scalable RESTful APIs and web services.
- Integrate applications with databases, internal systems, and third-party services.
- Develop and support reporting solutions using Jasper Reports.
- Write and maintain Oracle PL/SQL queries and procedures.
- Troubleshoot production issues and optimize application performance.
- Participate in code reviews, system design, and Agile development.
Required Skills :
- 3 to 8 years of backend development experience.
- Strong proficiency in Python.
- Experience with REST APIs, JSON, and HTTP.
- Good understanding of backend architecture and service-oriented design.
- Experience with relational databases and Git.
- Strong analytical and problem-solving skills.
Preferred Skills :
- FastAPI, Flask, or Django.
- Jasper Reports / Jaspersoft.
- Oracle & PL/SQL.
- AWS, Azure, or GCP.
- CI/CD and DevOps practices.
Python
Go Programming (Golang)2–4 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Strong analytical and debugging skills with the ability to solve complex problems.
MongoDBPython
DockerRequired Core Tech Stack:
We're looking for engineers with hands-on experience across most of the following technologies:
- Python Backend Development (3+ years)
- FastAPI (2+ years of production experience required)
- PostgreSQL
- MongoDB
- Redis
- Docker
- Celery or equivalent async task queues
- REST APIs & Microservices
- AWS/GCP
- GitLab CI/CD
The selected Sr. Backend engineer will ship the backbone that powers 4 million + learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.
What You'll Do:
At LearnTube, we’re pushing the boundaries to revolutionize how the world learns. As a Senior Backend Engineer, your roles and responsibilities will include:
- Shipping Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
- Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
- Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
- Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
- Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
- Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
- Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
- Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.
What makes you a great fit?
Must-Haves (Applicants without these skills are unlikely to move forward):
- 3+ yrs Python back-end experience (FastAPI)
- Strong with Docker & container orchestration
- Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
- SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals
Nice-to-Haves
- k8s at scale, Terraform,
- Experience with AI/ML inference services (LLMs, vector DBs)
- Observability: Prometheus, Grafana, OpenTelemetry
Why LearnTube?
- Build AI products at global scale – Your work will power learning experiences for 4M+ learners across 64 countries.
- Work directly with experienced founders – Collaborate closely with founders who are deeply involved in product and engineering decisions, giving you ownership and a direct impact on the product roadmap.
- Learn fast – Join a high-performing team where you'll own features end-to-end and solve challenging backend and distributed systems problems.
- Recognized AI startup – LearnTube is a Google Top 20 AI Startup and part of Google's AI First Startup Accelerator, with access to cutting-edge AI technology and mentorship.
Why Work With Us?
At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:
- Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
- Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
- Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
- Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
- Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
- Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.
JavaPythonGo Programming (Golang)
NodeJS (Node.js)
Spring BootArchitect, develop and maintain highly scalable, reliable and secure distributed backend
systems on Cloud (AWS or Azure) or on-premises environments for Mihup, its customers
and partners.
Work closely with your fellow engineers to develop systems capable of concurrently
processing massive amounts of voice data both in online real-time as well as offline
environments.
Drive accountability for test driven development, delivery of high-quality features and
resilient enterprise class solutions.
Lead a culture of team ownership and direct individual and team accountability to
continuously improve how they work to achieve results.
Work in a startup environment, pushing boundaries with deep involvement with business.
BE//BTech/ME/MTech in Computer Science or a related field from a Tier I or Tier II
University.
6-8 years of hands-on software development and deployment experience (experience of
working in a consumer product startup during its growth phase will be a plus) of which 1 – 2
years of experience would be in leading a team of software developers.
Expertise in Java 8+ and Spring Boot is a must
Good experience in messaging platforms like RabbitMQ/Kafka
Good experience in distributed systems and relational & NoSQL databases like PostgreSQL,
MySQL, Redis, MongoDB, etc.
Expertise in one or more of: Python, NodeJS, GoLang would be preferred
Must have hands on experience in products which handle multiple concurrent calls (API),
handle CPU intensive jobs, consist of multiple asynchronous system calls.
Worked on microservices based architecture and design
Managed/ Owned infrastructure on AWS/Microsoft Azure/private clouds and setup high
availability systems
Knowledge of Docker and Kubernetes
Knowledge of RESTful APIs, caching concepts, the HTTP protocol and general web
architecture
Pluses
1. Anything that will let us know more about who you are that you would like to share such as
Blogs, Twitter, Medium, GitHub etc.
CC++With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.
As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.
You Are A Part Of:
DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.
Job Responsibilities:
Responsibilities include, but are not limited to:
• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.
• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.
• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.
• May design and develop automated test suites.
• May maintain lab equipment.
Required Skills and/or Experience:
• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.
• 5-10 years related industry experience required.
• 5+ years software development in C or C++ is required.
• 3-5 years’ experience working in a Linux environment is required.
• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.
• Experience with debugging tools such as GDB is required.
• Experience with source control and shared build environments is required.
Python
Django
Flask
Amazon Web Services (AWS)Must have,
- Fundamental of Python(Data types in python, scope of variable, asynchronous programming)
- Should be able to code in Python
- Basic Understanding of Database
- API designing
- Problem Solving skills
- Fundamentals of storage, caching
Good to have,
- AWS Knowledge,
- Python Framework(Django, Flask)
- Knowledge on Message Broker, Caching
- SQL and no-SQL database
Go Programming (Golang)Python
KubernetesPython- 0-3 application development experience in solution building on Blockchain technology.
- Solid understanding of and experience in blockchain / distributed ledger technologies familiarity with platforms, such as Ethereum and Hyperledger.
- Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
- Security Architecture / Cryptography is a plus.
- Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus.
- Experience on development tools such as Hyperledger Fabric/Sawtooth,Geth , Composer, Solidity Remix Functional
- Basic understanding of Web applications architecture and protocols.
JavascriptPython
PHP
AngularJS (1.x)
PHPJavascriptPythonMongoDB
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon