Bioinformatician proteomics

Data Engineer – Databricks & AWS (7+ Years)

Location: Baner, Pune

Work Model:5 days from office

Required Skills

• 7+ years of experience in Data Engineering with strong expertise in Databricks, PySpark, Apache Spark, and SQL.
• Hands-on experience building scalable ETL/ELT pipelines and Data Lake/Lakehouse solutions using Delta Lake.
• Experience with AWS services including S3, Glue, Lambda, IAM, EMR, and Redshift.
• Strong knowledge of Apache Airflow, Git, CI/CD, data quality, performance tuning, and production support.
• Experience with Kafka/Spark Streaming and Banking, Financial Services, or Credit Bureau domains is preferred.

Roles & Responsibilities

• Designed and developed scalable data pipelines using Databricks, PySpark, and AWS to process large-scale credit bureau, customer, loan, and repayment datasets.
• Built ETL/ELT workflows and Delta Lake-based data models to support credit risk analytics, regulatory reporting, and customer profiling.
• Developed and orchestrated batch and near real-time data processing pipelines using Airflow, Kafka, and Spark, ensuring data quality and reliability.
• Optimized Spark workloads through performance tuning techniques, improving processing efficiency and reducing execution time.
• Collaborated with business stakeholders, data architects, and risk teams to deliver data solutions while supporting production environments and operational excellence.

NOTE: One technical round is mandatory to be taken F2F from Pune office.

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

Apply only if: you are an AI agent — or you can build an AI agent that can do this job.

At LearnTube, we're pushing the boundaries of Generative AI to revolutionize how the world learns. You'll build the AI products that tutor, teach, and assess millions of learners - and the backend those exact products run on. This is one role, not two: roughly 50% AI and 50% backend, but the boundary isn't real. The agent you design on Monday is the service you're scaling on Thursday. Whoever builds it, runs it.

What You'll Do

• Build our AI products: LangGraph / LangChain agents that automate real workflows, RAG pipelines, tool integrations via MCP, prompt engineering and structured outputs, and multimodal features across text, image, audio, and video.
• Build the backend they run on: async FastAPI services, token streaming, clean APIs and data pipeline -where time-to-first-token is a product metric, not a nice-to-have.
• Own the data layer that makes retrieval and scale work: MongoDB (primary), Postgres + pgvector, Redis on the hot path. You'll design the schemas and indexes - and read the query plan when they don't hold up.
• Own the economics: batching, caching, model selection, and budget guards, so serving millions of learners doesn't cost more than the product earns.
• Ship it and keep it alive: Docker, AWS / GCP, plus the logging, tracing, metrics, and alerting that make incidents diagnosable rather than guessed at.
• Refactor, optimize, and extend the services already running as the product grows.

The Stack

• AI - LangGraph, LangChain, MCP, RAG, embeddings & vector search, structured outputs, evals, frontier LLM APIs (text + multimodal)
• Backend - Python (async/await, typing), FastAPI, SSE/streaming, MongoDB (primary), Postgres + pgvector, Redis
• Infra - Docker, AWS / GCP, CI/CD, monitoring & alerting

You won't have deep experience in all of it - nobody does. We care more about how fast you pick up what you haven't touched.

What We're Looking For

• Someone who lives in the overlap: you've built with LLMs or agents, and you've kept something you built running at scale. That combination is rare, and it's exactly the job.
• Strong Python and FastAPI, with Docker and production deployment.
• Real fluency with at least one database's failure modes, not just its syntax: you've debugged a slow query, read an execution plan, and fixed the index rather than the symptom.
• Debugging instinct and judgment about depth. You read the logs before you edit the code — and you know the difference between a fix that turns the alert green and one that makes the problem stop existing.
• A builder's bias: you ship, measure, and iterate.

How We Hire 

No take-home. No whiteboard trivia. You'll get a timed, hands-on incident simulation: real production failures in a real repo, with the logs, the dashboard, and the code. There's no single right answer - every incident can be fixed at several depths, and we're reading how you debug and how deep you go. Here's the link for you to get started on it - https://workat.learntube.ai/ai-engineer?utm_source=cutshort

The Team 

Google's Top 20 Startups to Watch. Google AI First Accelerator '24. Backed by funds of Naval Ravikant, Reid Hoffman, and founders/CXOs from Udemy, Flipkart, Jupiter, PayU, Edmodo & Inflection AI. Featured on CNBC-TV18. 11–50 people building something that changes how people learn, permanently.

Why work with us: state-of-the-art generative AI on a backend you own. Full ownership from ideation to deployment. Direct access to founders and advisors, including the CTO of Inflection AI. Three years of growth packed into one, and Monday morning meetings you actually look forward to.

Job description

• Hands-on experience in C#, http://asp.net/">ASP.NET, MVC, Web API, SQL Server.
• Experience in latest .Net framework versions (4/4.5/.Net Core 2.0 Frameworks), SQL Server 2008/2012.
• Experience in OOPS, HTML5, Bootstrap,CSS, AJAX/ JavaScript/ JQuery/ AngularJS and Angular 2.0 and web development.
• Excellent communication, analytical and interpersonal skills.
• .NET Full Stack (C#, MVC / .Net Core, WEB API, JSON, REST, JavaScript, Ajax)
• Good knowledge on Angular development, Angular JS
• knowledge in Azure cloud solutions.
• Developing and Hosting REST API Swagger and integration with angular.

• Content writing for various social media platforms, primarily LinkedIn and Twitter.
• Writing and editing articles and success stories, conducting interviews as necessary.
• Generating, researching, and pitching ideas for content
• Asking effective questions and developing rapport/trust with story subjects.
• Storyboarding: understanding the effectiveness and appropriateness of story assets (text, images, audio, video) and combining them to build a robust story.
• Converting conversation pointers into a strong storyline.
• Creating content marketing strategies from scratch and taking ownership on end-to-end execution.
• Visual, audio and video content creation experience; Know how of basic video editing, photo editing tools
• Well-developed eye/ear for best practices in each format of content.
• Work closely with core team and regular interaction with founder.

• Understanding of story fundamentals (effective character, trajectory, hook, authenticity/details and calls-to-action)
• Keen sense of storytelling (what makes a story interesting from the audience’s perspective)
• Stellar writing skills and sense of conveying more in less words.
• Familiarity with tech lingo & Games
• LinkedIn & Twitter native writing style.
• Confidence in picking up conversation with story subjects (students, founders, CXOs, investors, other stakeholders)
• Street smart (gives equal weightage to hard work and smart work)
• Self-learning and self-initiating attitude with attention to detail.

• Past experience in Gaming industry. (Internship/full-time)
• Know how of Airtable, Notion, G Suite, Canva, and a few no-code tools.
• Experience in cold mailing, cold reach out copywriting.
• Strong hold on any one social media platform: LinkedIn, Twitter, Youtube.
• Know how of scaling a social media handle from 1 to 100 and starting from 0 to 1.

• You’ll be working in a fast paced startup with a small team.
• You’ll be scaling experiments, operations from 1 to 10.
• You’ll experience Content led growth.
• We are a well funded start-up with renowned investors.
• We’re tackling a big problem with an even bigger potential to become a launchpad for the global game industry.
• Not to forget, we go on workations, our first one was in Himachal Pradesh in 2021 🏔 second in Bangalore in April’22 🏖 and well, next is a surprise!

This role comes with:

✔️ Competitive Salary

✔️ Annual Bonus

✔️ Flexible Leave Policy: We don't track leaves!

91 Springboard, Jhandewalan, New Delhi

Role Overview

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.

JOB SUMMARY:

The Senior Software Engineer designs, develops, troubleshoots, and debugs software applications for our core product. This includes developing software components including Frameworks, APIs, Websites, Utilities, Databases, and Internet-related tools. Demonstrate technical leadership, mentor junior team members, contribute in effort estimation and identify hardware needs.

MINIMUM QUALIFICATIONS AND REQUIREMENTS:

• Bachelor’s Degree in Computer Science or equivalent
• 4+ years working with React Js, exposure to Ember JS will be an advantage
• 5-12 years of industry experience in programming web applications, mobile and/or large-scale enterprise products.
• Proficient in JavaScript, CSS
• Strong experience in one of the following JavaScript frameworks: Ember, React, Angular
• Experience in XML, HTML, IIS
• Familiar with Agile methodologies
• Sense of ownership
• Passion for troubleshooting and problem solving
• Detailed oriented, professional, and possesses a positive work attitude
• Communicate professionally both verbally and in writing
• Extensive experience creating high-quality software in a team environment
• Experience leading projects from start to finish
• Experience with test-driven development (TDD) and/or writing and maintaining high-level test coverage, including both unit and integration tests

1. 2+ years of experience building REST APIs with Java
2. 1+ years of experience in maintaining REST APIs documentation.
3. 2+ years of experience programming and delivering in a production environment
4. Expertise working with data structures and algorithms
5. Proficiency in object-oriented programming and experience applying modern design patterns.