Content Marketer

Key Skills to Succeed in This Role:

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred

Good to Have:

• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

Responsibilities:

• Lead architecture, technical decisions, and ensure code quality, scalability, and performance
• Develop backend systems using Python & SQL; build APIs and optimize databases
• Work with frontend (React/Angular) and API-driven architectures
• Integrate AI/ML models and support analytics/LLM-based solutions
• Manage cloud deployments (Azure/AWS) and implement CI/CD practices
• Ensure system reliability, monitoring, and production readiness
• Mentor team members, conduct reviews, and collaborate with cross-functional teams

Junior Full-Stack Engineer (Python + Flutter + React JS)

Location: Vasanthnagar, Bangalore 560001 · On-site Type: Full-time Experience: 2–4 years Reports to: Tech Lead

About the role

We're looking for a hands-on Junior Full-Stack Engineer to join us on-site and work across our entire stack - building backend services in Python, web frontends in React JS, and cross-platform apps in Flutter. You'll be involved in the full development lifecycle: designing features, writing clean code, testing your own work, and helping ship reliable software. This is a great fit for someone who has a couple of years under their belt, wants to grow quickly, and enjoys owning features end to end.

You won't be siloed into one layer. One day you might be writing an API endpoint and its tests; the next, building the React screen - or the Flutter app - that consumes it.

What you'll do

●      Build and maintain backend services and APIs in Python (e.g. FastAPI / Django / Flask).

●      Develop responsive web frontends in React JS (components, hooks, state management).

●      Develop cross-platform mobile features using Flutter (Dart).

●      Write automated tests - unit, component, widget, and integration - and treat testing as part of building, not an afterthought.

●      Integrate frontend and backend: design and consume REST APIs, handle data flow, manage state.

●      Work with databases (schema design, queries, migrations) - e.g. PostgreSQL / MySQL.

●      Participate in code reviews, give and receive constructive feedback.

●      Use Git and a modern branching workflow; contribute to CI/CD pipelines.

●      Collaborate in an agile setup — standups, sprint planning, and iterative delivery.

●      Debug, profile, and fix issues across the stack.

●      Document your work so the next person (including future-you) can understand it.

What we're looking for

●      2–4 years of professional software development experience.

●      Solid working knowledge of Python and at least one backend framework.

●      Hands-on experience with React JS and modern JavaScript/TypeScript.

●      Hands-on experience with Flutter / Dart and building real apps (personal or professional projects count).

●      Comfortable writing tests and familiar with frameworks like pytest, Jest / React Testing Library, and Flutter's test / flutter_test.

●      Understanding of REST APIs, JSON, and client–server communication.

●      Proficiency with Git and collaborative version control.

●      Familiarity with relational databases and basic SQL.

●      Good communication skills and a willingness to learn, ask questions, and take feedback.

●      Able to work on-site at our Vasanthnagar, Bangalore office.

Nice to have (not required)

●      Experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).

●      Exposure to cloud platforms (AWS / GCP / Azure) or Docker.

●      State management experience in React (Redux, Zustand, Context) and/or Flutter (Provider, Riverpod, Bloc).

●      Familiarity with async programming in Python.

●      A portfolio, GitHub profile, or published app you can share.

Why join us

●      Real ownership of features from day one, with mentorship to grow fast.

●      A modern engineering culture: code reviews, automated testing, CI/CD, and clean workflows.

●      Direct collaboration with the Tech Lead and a small senior team — short feedback loops, fast decisions.

 Please connect with me on my LinkedIn

https://www.linkedin.com/in/indrani-dutta-a9a65135/

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

 Your role as Business Development Executive:

 ● Buildandmanageaportfolio of partners by acquiring new and growing existing ones.

● Developadeepunderstanding of the industry, the respective market, and

 competitive analysis.

 ● MeetandexceedteamKPItargets and business objectives.

 ● Supportnewandexisting clients via email, phone or chat

 ● Negotiate the terms of each partnership based upon the existing rebate structures.

 ● Generateideas to increase lead generation and conversion.

 ● Identify business opportunities, potential clients and VIP customers and negotiate in

 order to create profitable accounts through identifying needs within the FX industry.

 ● Ensurepartner satisfaction by maintaining a professional relationship, handling and

 following-up on issue resolutions and catering to Partner needs.

 ● Directing partners to a specific outcome through company approved communication

 channels.

 ● Educatepartners on the Company’ platforms and websites, proactively offering new

 tools and features to partners.

 Requirements:

 1. Minimum2yearsof experience in account management, client relationship or any

 relevant client facing roles within the financial services industry.

 2. Sales-driven and motivated personality to achieve KPIs on a weekly / monthly /

 quarterly basis.

 3. Strong client-facing and communication skills.

 4. Ahunter &entrepreneur mindset with the ability to grow business sales;

 5. Strong business acumen, project management abilities, and negotiation skills.

 6. Proven ability to develop and implement a strategic business expansion plan.

 7. Excellent verbal and written communication skills, including facilitation of group

 presentations.

 8. Ability to work on own initiative, expand and generate business.

 9. Ability to work under pressure, face constant challenges, adapt to changes

• Candidate should have basic communication and good convincing power. 
• Candidate should be comfortable with calling. 
• Lead generation, Ability to work in a team or individually as and when required. 
• Outstanding problem solving skills.
• Have great interpersonal skills.
• Candidate should have strong organizational skills.

We are looking for an ASP.NET developer to be responsible for designing and monitoring applications. The responsibilities of ASP.NET developers include writing code, designing solutions for applications, and improving functionality.

To be successful as an ASP.NET developer, you should demonstrate excellent problem-solving skills, high-quality coding skills, and the ability to manage your time efficiently. Ultimately, a top-notch ASP.NET developer should have superior knowledge of software development, a keen eye for detail, and be able to work independently.

• Creating top-quality applications.
• Collaborating with front-end developers.
• Ensuring that junior staff delivers according to standards.
• Improving functionality.
• Using the most updated and appropriate technologies.
• Designing and building application layers.

• Previous experience as a developer.
• Extensive working knowledge of coding using .NET languages (C+, VB, .NET).
• Familiarity with ASP.NET framework and SQL servers.
• A keen eye for detail.
• Strong communication skill

1. Ensure the brand image is maintained through various collaterals
2. Execution and quick turnaround of collaterals as required by the marketing and sales teams including advertising collaterals, primary packaging, secondary packaging, brand collaterals in-store and otherwise, online banners, etc.
3. Guiding outsourced digital marketing teams on design aesthetic and brand DNA
4. Supervision of printing of packaging material and coordination with vendors for the same e.g. to ensure that colors on the screen are printed on physical labels etc.

Education Qualifications:

Minimum Graduate, Design Course diploma or degree preferred    

Experience & Skills:

• Minimum of 2-3 years of work experience in accounts
• Deep knowledge of software like Adobe Photoshop, AI, etc.
• A keen eye for design, colors and aesthetic
• Ability to communicate strongly Hindi and English
•