Program Manager - Business Operations

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

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 

Mechanical Draftsman

Location: Ghatkopar, Mumbai

Department: Design

Experience: 1–2 Years (AutoCAD & Design)

Openings: 4 (Male/Female)

About the Role

We are looking for a detail-oriented and technically skilled Draftsman with hands-on experience in

AutoCAD and equipment design. The role involves preparing detailed engineering drawings,

coordinating with internal teams and clients, and supporting the design and costing of industrial

equipment, especially in the pharma/process industry.

Qualifications

 BE / Diploma in Mechanical Engineering

Required Skills

 Strong knowledge and hands-on experience in AutoCAD

 Experience in fabrication drawings (preferably vessels and process equipment)

 Understanding of engineering standards such as ASME / API / TEMA / PED

 Basic knowledge of BOQ preparation and costing

 Good communication and coordination skills

 Ability to review and interpret technical drawings and specifications

 Problem-solving and analytical skills

Key Responsibilities

 Preparation of GA (General Arrangement), P&ID, and layout drawings

 Designing and drafting of equipment such as Pressure Vessels, Heat Exchangers, and Storage

Tanks

 Preparation of mechanical data sheets

 Ensure designs are cost-effective and efficient

 Preparation of BOQ and support in costing activities

 Coordination with internal departments and clients for design-related activities

 Preparation and verification of Bill of Materials (BOM)

 Review specifications, sketches, and drawings to determine design requirements

 Modify and revise designs to improve performance and reduce production issues

 Preparation of technical and commercial offers

 Support project execution through proper documentation and drawing control

Make outbound sales calls to prospective customers from provided leads and databases.

 Promote financial products such as personal loans, business loans, insurance and investment solutions.

 Explain product details, benefits, interests rates, and eligibility criteria  Identify customer requirements and suggest appropriate financial solutions.

 Follow up with the leads and maintain a strong conversion pipeline.  Achieve assigned sales targets and KPI’S on a daily and monthly basis.

Front-End Developer Job Description

We are looking for programmers with a keen eye for design for the position of a frontend developer. Front-end developers are responsible for ensuring the alignment of web design and user experience requirements, optimizing web pages for maximum efficiency, and maintaining brand consistency across all web pages, among other duties. Front-end developers are required to work in teams alongside product managers, back-end developers and graphic designers to ensure all elements of web creation are consistent. This requires excellent communication and interpersonal skills.

Front-End Developer Responsibilities:

Determining and creating scalable structure and design of web pages.

Building and maintaining reusable code for future use.

Ensuring web design is optimized for smartphones.

Optimizing web pages for maximum speed and scalability.

Actively participate in design and code reviews to build robust applications

and prototypes

Striking a balance between functional and aesthetic design.

Troubleshooting and debugging existing applications.

Following standard predefined design guidelines.

Delivering assigned tasks on time.

Front-End Developer Requirements:

Proficiency in HTML, CSS, and JavaScript. And knowledge of JavaScript frameworks such as ReactJS, and VueJS.

Knowledge of typescript, es-lint, webpack and bundling of applications.

Familiarity with CSS frameworks such as CSS, less.

Experience with responsive and adaptive design.

Degree in B. Sc (IT or CS), BCA, MCA, MSc, BE, ME

Knowledge of agile development methodology.

Good problem-solving and interpersonal skills.

Excellent verbal communication skills.

Roles and Responsibilities:

• Designing and producing animation content while collaborating with other artists in a team-focused environment.
• Conceive, layout, and design enticing motion graphics videos for various media.
• Collaborate with Creative Team in designing and creating boards, when required.
• Research and analyze the best design techniques and solutions for creating motion graphics.
• Assist in selecting audio, video, colors, animation, etc. for graphic design.
• Research and analyze the best design techniques and solutions to create motion graphics.
• Assist in designing and creating storyboards.
• Maintain up-to-date knowledge about the latest graphic design techniques. 

Requirements:

• Proficient with Adobe suites like After Effects, Premier Pro, Photoshop, and Illustrator.
• 1-6 years of professional experience.
• A clear understanding of visual hierarchy and information design concepts.
• Comfortable with social media and collaboration/project management tools.
• Strong portfolio showcasing his/her design and motion graphics skills.
• Knowledge of Lottie files and Bodymovin is a plus.

Kindly provide the online portfolio videos of the candidates through platforms like Behance or similar alternatives. Please refrain from sharing portfolios in Google Drive format.

Digital marketing executive job duties include:

• Prepare social media marketing strategy and campaign by coming up with content

ideas, planning the budget, and implementing it.

• Utilize various social media channels to promote the company’s products and

services.

• Increase the visibility of the company’s social content by optimizing individual

company pages on social media platforms.

• Utilize the digital marketing aspects of the social media marketing roadmap to

increase website traffic, audience engagement, and revenue.

• To achieve certain goals, you must generate leads, qualify leads, develop

marketing communications, build your brand image, and convert sales leads.

• Taking steps to improve campaigns and other marketing efforts by monitoring

their performance and evaluating their effectiveness.

Requirements for Digital marketing executive

• A graduate degree in marketing or a related field is required.

• 1-3 Years of experience in digital marketing.

• Efforts to lead and manage SEO/SEM, marketing databases, email campaigns,

social media campaigns, and display advertising campaigns.

Job Description

Your primary focus will be development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.

Responsibilities

Design and build applications for the iOS platform

· Ensure the performance, quality, and responsiveness of applications

· Collaborate with a team to define, design, and ship new features

· Identify and correct bottlenecks and fix bugs

· Help maintain code quality, organization, and automation

Skills

· Proficient with Objective-C or Swift {depending on project requirements}, and Cocoa Touch

· Experience with iOS frameworks such as Core Data, Core Animation, etc.

· Experience with offline storage, threading, and performance tuning

· Familiarity with RESTful APIs to connect iOS applications to back-end services

· Knowledge of other web technologies and UI/UX standards

· Understanding of Apple’s design principles and interface guidelines

· Knowledge of low-level C-based libraries is preferred

· Experience with performance and memory tuning with tools {such as Instruments and Shark, depending on project needs}

· Familiarity with cloud message APIs and push notifications

· Knack for bench marking and optimization

· Proficient understanding of code versioning tools {such as Git, Mercurial or SVN}

· Familiarity with continuous integration

Responsibilities:

• Design and deliver scalable web services, APIs and backend data modules.
• Understand requirements and develop reusable code using design patterns & component architecture and write unit test cases
• Collaborate with product management and engineering teams to elicit and understand the requirements and develop solutions
• Stay current with latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.

Required Qualifications:

• 6+ years of experience writing multithreaded programs running in Java
• Experience on Java, Spring Boot,, Apache Nifi ,  workingDocker, EKS, Azkaban, Jenkins
• Experience with Git and build tools like Gradle/Maven/SBT.
• Strong understanding of object-oriented design, data structures, algorithms, profiling, and optimization.
• Have elegant, readable, maintainable and extensible code style.
• Experience on AWS is preferable
• Knowledge on top algorithms like sorting, heap/stack, queue, search, etc.
• Familiarity with test-driven development
• Thrive in a fast-paced environment, with ability to deliver code of quality quickly.
• Attention to details. Strong communication and collaboration skills.
• BS in Computer Science or equivalent

Overview

This position, under the general direction of the Lead and/or Manager, Software Engineering, will be responsible for technical and development support for our award-winning K-12 software. This role will implement, code, build, and test new features, maintain existing features, and develop new plugins/accelerators that will enhance the functionality of our existing product. Additionally, this position will gather and refine requirements, develop designs, implement, test and document solutions to produce the highest quality product and customer satisfaction.

Responsibilities

Essential duties and responsibilities include the following.

• Develop modules and functionalities in front end using Angular, Typescript framework.
• Development of plugins using Node.js(Express.js).

Configuring and Working with MongoDB.

Working on Reusable libraries, Packaging in Nodejs.

Experience in Jira, Development lifecycle, handling and completing tasks assigned in Jira.

Qualifications

To be considered for and to perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.

Qualifications include:

• 4+ years’ experience in software engineer role
• Bachelor’s degree in Computer Science or Information Technologies required or equivalent experience
• Knowledge of current web client technologies including demonstrable proficiency with Javascript, Angular 6,7,8, NodeJs, ExpressJs, Typescript, MongoDB, Graph QL, Bootstrap, HTML5, Css3, Json, Ajax, Scss, SASS, JQuery, GIT Lab
• Proficient in SQL, Oracle experience a plus

• Ability to architect, test, develop, implement and troubleshoot Front End applications
• Strong written and verbal communication skills
• •Strong ability to handle a heavy workload with multiple projects and frequent interruptions
• Strong ability to work in a changing, dynamic environment