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Senior Software Engineer
Senior Software Engineer
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Senior Software Engineer

Agency job
8 - 20 yrs
Best in industry
Hyderabad
Skills
skill iconPython
Google Cloud Platform (GCP)
skill iconDocker
Generative AI (GenAI)
skill iconGit
Large Language Models (LLM)

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.
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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Capgemini

Founded :
1967
Type :
Services
Size :
5000+
Stage :
Profitable

About

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
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