Engineering Manager

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Key Responsibilities:

• Develop new business in liner shipping and container logistics.
• Manage existing client relationships and ensure service excellence.
• Negotiate rates, contracts, and agreements with customers.
• Achieve sales targets (volume, revenue, profitability).
• Track market trends, competitor activities, and customer needs.
• Provide sales reports and maintain accurate records.
• Develop new business opportunities in liner shipping, chartering (bulk, break bulk, or project cargo), and international forwarding.
• Maintain and expand a portfolio of shippers, consignees, brokers, and freight forwarders.
• Maintain database with accurate and updated client information, pipeline, and sales activities.
• Monitor market trends, competitor offerings, and freight rates to develop a competitive sales strategy.  

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

We’re Hiring: Business Development Interns

Remote | Commission-Based + Performance Bonuses

EdTech | LMS + ERP for Schools

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Help Transform Education in India

Student Diwan is a global EdTech platform delivering a powerful, user-friendly LMS + ERP system built for modern schools. As we expand into India, we’re looking for passionate, results-driven individuals to help introduce our platform to private, CBSE, ICSE, and international curriculum schools across the country.

This is a remote, commission-based role to start, with strong earning potential and performance-based career growth — including the possibility of transitioning to a base-pay + commission model depending on your results.

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Role Overview

We’re seeking a dynamic Business Development Intern to lead our B2B sales journey — from identifying prospects to closing deals.

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Responsibilities include:

• Reaching out to school decision-makers (owners, principals, IT heads, directors)

• Using tools like LinkedIn, ZoomInfo, SignalHire, or personal networks for outreach

• Conducting virtual product demos and school presentations

• Managing the full sales cycle: proposal → follow-up → negotiation → deal closure

• Providing regular market feedback to our team

• Meeting schools in-person, if needed, to establish trust

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Requirements

• Experience in B2B sales or education-related outreach (EdTech/SaaS is a plus)

• Strong English communication skills (Hindi or regional language fluency is a bonus)

• Digital outreach experience (email, LinkedIn, prospecting tools)

• Confident in giving presentations and handling client objections

• Driven, reliable, and goal-focused

• Based in Tier-1 or Tier-2 cities in India (Delhi NCR, Mumbai, Bangalore, Chennai, Pune, Hyderabad, etc.)

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What You Get

• Remote flexibility

• Attractive Commissions (10–15%) + Performance Bonuses

• Opportunity to grow into a base salary role after 4–6 months based on revenue milestones

• Join a fast-growing global EdTech company

• Build real relationships with India’s leading schools

Job Description:

We are seeking an experienced Java Back-end Developer to join our team. The ideal candidate

will be responsible for designing, developing, and maintaining robust and scalable back-end

solutions using Java and related technologies. The Back-end Developer will work closely with

cross-functional teams to deliver high-quality software solutions that meet our business needs.

Responsibilities:

 Design, develop, and maintain Java-based back-end applications, services, and APIs.

 Write efficient, reusable, and well-documented code following industry best practices

and coding standards.

 Collaborate with front-end developers, product managers, and other stakeholders to

understand requirements and translate them into technical solutions.

 Implement and maintain database schemas, write complex SQL queries, and optimize

database performance using Oracle SQL.

 Develop and consume RESTful web services to enable seamless integration with

external systems.

 Utilize Spring framework and its various modules (e.g., Spring Boot, Spring Batch) for

building enterprise-level applications.

 Manage project dependencies and build processes using Maven.

 Work with version control systems such as Git for code management and collaboration.

 Perform unit testing, integration testing, and debugging to ensure the quality and

reliability of back-end components.

 Stay updated on emerging technologies, trends, and best practices in back-end

development.

Additional Requirements:

 Strong knowledge of application servers such as Tomcat and WebLogic.

 Experience with continuous integration tools such as Jenkins.

 Familiarity with automated testing frameworks such as JUnit.

 Understanding of authentication and authorization mechanisms, including OAuth.

 Knowledge of SOAP web services and related technologies.

Requirements:

 Bachelor's degree in Computer Science, Engineering, or a related field.

 5 Plus years of experience in Java back-end development.

 Proficiency in Java programming language and related frameworks (e.g., Spring, Spring

Boot, Spring Batch).

 Strong understanding of object-oriented programming principles, data structures, and

algorithms.

 Experience with Oracle SQL and database design principles.

 Familiarity with RESTful web services and API development.

 Experience with build tools such as Maven.

 Knowledge of version control systems, particularly Git.

 Strong problem-solving skills and attention to detail.

 Excellent communication and collaboration skills.

 Ability to work effectively in a fast-paced, agile environment.

Preferred Qualifications:

 Experience with other databases such as MySQL, PostgreSQL, or MongoDB.

 Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.

 Understanding of software development best practices and design patterns.

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind