Social Media Specialist

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

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.

We are looking for a Purchase Executive to manage software ordering, vendor coordination, and licensing processes. The role involves working closely with the sales team, distributors, and OEMs to ensure timely order processing and smooth delivery.

Key Responsibilities:

• Process purchase orders for software licenses (OEM / distributor).
• Coordinate with vendors for pricing, availability, and order confirmation.
• Ensure accurate order placement as per approved quotations.
• Track order status and ensure timely delivery / activation of licenses.
• Maintain records of orders, invoices, and licensing details.
• Work closely with the sales team for order closure and dispatch updates.
• Handle vendor communication for any issues, delays, or escalations.
• Verify invoices and ensure proper documentation for billing.
• Support renewal orders and subscription tracking.

Required Skills:

• Basic understanding of software licensing (EDR, XDR, Cloud, etc.)
• Good communication and coordination skills
• Attention to detail and accuracy
• Knowledge of MS Excel and documentation
• Ability to handle multiple orders simultaneously

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

• Work on Examarly’s most complex web applications by designing, implementing, and unit testing the frontend application code.
• Work on UI frameworks and abstractions that help define a reliable, reusable and performant web platform.
• Build a next-gen UI using the latest technologies: React Native, Redux, Sass
• Help teams with defining an architecture that would scale and also encourage best practices.
• Goto person to get clarity of problem statements and also can break down into meaningful tasks.
• Influence and impact a best-in-class customer experience in your group and contribute to overall customer experience in your area.
• Work with stakeholders in defining, planning, estimating and ultimately delivering features that deliver meaningful results and business impact.

• Experience with modern UX technologies such as React Native,  and nodeJS.
• Good understanding of functional programming using JavaScript
• Experience with RESTful services
• Excellent software design and coding skills and understanding of OO concepts.
• Experience with building web experiences and knowing the web technologies
• Ability to debug and resolve issues spanning multiple subsystems.
• Great analytical and problem-solving skills
• Strong expertise with HTML, CSS, Bootstrap
• Experience in working with designers and design tools such as Figma

What you need to have:

• Expert in SAP master data/integration related experience
• Has participated in at least two large information transformation engagements
• ​Ability to work with and collaborate with all Teams and Individuals in the Business Teams and the SAP Teams toward developing a best practice data creation, maintenance, governance, quality, and efficiencies
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