Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro
Nagarro
Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro
Job Description
Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro
Location: India, India | Job ID: REF52905R
**Why Join Nagarro?**
Nagarro stands out in Nagarro Careers with its Caring Mindset, prioritizing your professional growth and well-being. Embrace a Fluidic Enterprise where roles evolve dynamically, offering Global Opportunities to collaborate on enterprise-grade projects across continents. Enjoy competitive salaries, comprehensive health benefits, continuous learning via AI/ML certifications, and a culture that celebrates innovation. Whether leading LLM agents or mentoring teams, Nagarro empowers you with resources for unparalleled success in Software Engineering Jobs.
**Digital Engineering Excellence**
At Nagarro, Digital Engineering Excellence means pioneering cloud-native GenAI solutions. Harness Azure for scalable ML pipelines, Compass AI services, and agentic workflows. Build production-grade RAG systems with vector databases and knowledge graphs, owning MLOps from CI/CD to drift detection. Our engineers thrive on translating cutting-edge research into real-world impact, evaluating frameworks like LLMs for enterprise adoption. With a strong foundation in traditional ML – feature engineering, model tuning, and statistical evaluation – you'll craft reusable APIs and SDKs that drive business transformation. Plus, Arabic language skills open doors to diverse global clients.
**Your Impact at Nagarro**
As a Senior Staff Engineer, your Impact at Nagarro will redefine AI platforms. Lead end-to-end delivery of Conversational AI, multi-agent orchestration, and scalable LLM integrations. Mentor AI engineers, foster experimentation, and ensure engineering excellence through code reviews and UAT. Manage risks in performance, latency, and model drift while coordinating with data scientists and stakeholders. In this full-time senior role, you'll not only build the future of GenAI but also shape Nagarro's legacy as a Caring, Fluidic Enterprise leader. Join Nagarro Careers today – where your expertise in Software Engineering Jobs meets limitless potential. (512 words)
Role Description
Requirements Experience : 7.5+ Years Mandatory hands-on Python coding capability for building production-grade GenAI, ML, and RAG pipelines. Demonstrable experience in building agentic workflows, RAG optimizations, and scalable LLM integrations. Strong foundation in traditional ML and data science, including feature engineering, model tuning, and statistical evaluation. Proven experience using Compass AI services in production-grade projects. Experience in building and optimizing ML pipelines on Azure. Good command of the Arabic language (verbal and written) is a plus. Responsibilities Lead the engineering, deployment, and scaling of enterprise-grade AI platforms, including Conversational AI, LLM-based agents, and multi-agent orchestration frameworks. Design, code, and implement reusable frameworks, APIs, and SDKs for scalable enterprise consumption of AI capabilities. Build production-grade GenAI/RAG/ML systems, implementing RAG pipelines, vector database integrations, and knowledge graph-based retrieval. Own MLOps for LLM/ML workloads, including CI/CD, monitoring, retraining, observability, performance tuning, and drift detection. Rapidly translate new research into applied solutions and experiment with emerging tools and techniques. Evaluate AI frameworks and recommend enterprise adoption strategies. Mentor and guide AI engineers, fostering a culture of experimentation and engineering excellence. Lead end-to-end delivery of AI projects, managing risks related to performance, model drift, latency, and integration. Ensure engineering quality through regular code and design reviews and coordinate with data scientists, platform teams, and stakeholders. Own UAT planning, test case development, defect triaging, and ensure production rollout readiness.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Key Responsibilities
- Lead engineering, deployment, and scaling of AI platforms including Conversational AI and LLM agents
- Design and implement reusable frameworks, APIs, SDKs for enterprise AI
- Build production-grade GenAI/RAG/ML systems with vector DB and knowledge graphs
- Own MLOps for LLM/ML: CI/CD, monitoring, retraining, drift detection
- Mentor AI engineers, lead project delivery, UAT, and code reviews
- Evaluate AI frameworks and translate research into solutions
What You Bring (Qualifications)
- 7.5+ years experience in GenAI/ML development
- Bachelor’s or Master’s in Computer Science/IT or related
- Hands-on production-grade Python and Azure experience
- Proven Compass AI services in production projects
Core Skills
Python coding for GenAI/ML/RAG pipelines, Building agentic workflows and RAG optimizations, Scalable LLM integrations and MLOps, Azure ML pipelines and Compass AI services, Traditional ML, feature engineering, model tuning, Vector database integrations and knowledge graphs, Leadership, mentoring, and Arabic language (plus)
Why Nagarro? (Benefits)
- Caring Mindset: Personalized growth with mentorship and work-life balance
- Fluidic Enterprise: Agile environment with flexible roles and rapid innovation
- Global Opportunities: Work across international projects and offices worldwide
- Digital Engineering Excellence: Access to cutting-edge AI/ML tools and Azure tech
- Collaborative Culture: Lead teams in a supportive, experimentation-driven workplace
Locations
- India, India
Salary
Salary details available upon request
4,500,000 - 8,640,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python coding for GenAI/ML/RAG pipelinesintermediate
- Building agentic workflows and RAG optimizationsintermediate
- Scalable LLM integrations and MLOpsintermediate
- Azure ML pipelines and Compass AI servicesintermediate
- Traditional ML, feature engineering, model tuningintermediate
- Vector database integrations and knowledge graphsintermediate
- Leadership, mentoring, and Arabic language (plus)intermediate
Required Qualifications
- 7.5+ years experience in GenAI/ML development (experience)
- Bachelor’s or Master’s in Computer Science/IT or related (experience)
- Hands-on production-grade Python and Azure experience (experience)
- Proven Compass AI services in production projects (experience)
Responsibilities
- Lead engineering, deployment, and scaling of AI platforms including Conversational AI and LLM agents
- Design and implement reusable frameworks, APIs, SDKs for enterprise AI
- Build production-grade GenAI/RAG/ML systems with vector DB and knowledge graphs
- Own MLOps for LLM/ML: CI/CD, monitoring, retraining, drift detection
- Mentor AI engineers, lead project delivery, UAT, and code reviews
- Evaluate AI frameworks and translate research into solutions
Benefits
- general: Caring Mindset: Personalized growth with mentorship and work-life balance
- general: Fluidic Enterprise: Agile environment with flexible roles and rapid innovation
- general: Global Opportunities: Work across international projects and offices worldwide
- general: Digital Engineering Excellence: Access to cutting-edge AI/ML tools and Azure tech
- general: Collaborative Culture: Lead teams in a supportive, experimentation-driven workplace
Tags & Categories
Answer 10 quick questions to check your fit for Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro @ Nagarro.
Related Books and Jobs
Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro
Nagarro
Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro
Job Description
Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro
Location: India, India | Job ID: REF52905R
**Why Join Nagarro?**
Nagarro stands out in Nagarro Careers with its Caring Mindset, prioritizing your professional growth and well-being. Embrace a Fluidic Enterprise where roles evolve dynamically, offering Global Opportunities to collaborate on enterprise-grade projects across continents. Enjoy competitive salaries, comprehensive health benefits, continuous learning via AI/ML certifications, and a culture that celebrates innovation. Whether leading LLM agents or mentoring teams, Nagarro empowers you with resources for unparalleled success in Software Engineering Jobs.
**Digital Engineering Excellence**
At Nagarro, Digital Engineering Excellence means pioneering cloud-native GenAI solutions. Harness Azure for scalable ML pipelines, Compass AI services, and agentic workflows. Build production-grade RAG systems with vector databases and knowledge graphs, owning MLOps from CI/CD to drift detection. Our engineers thrive on translating cutting-edge research into real-world impact, evaluating frameworks like LLMs for enterprise adoption. With a strong foundation in traditional ML – feature engineering, model tuning, and statistical evaluation – you'll craft reusable APIs and SDKs that drive business transformation. Plus, Arabic language skills open doors to diverse global clients.
**Your Impact at Nagarro**
As a Senior Staff Engineer, your Impact at Nagarro will redefine AI platforms. Lead end-to-end delivery of Conversational AI, multi-agent orchestration, and scalable LLM integrations. Mentor AI engineers, foster experimentation, and ensure engineering excellence through code reviews and UAT. Manage risks in performance, latency, and model drift while coordinating with data scientists and stakeholders. In this full-time senior role, you'll not only build the future of GenAI but also shape Nagarro's legacy as a Caring, Fluidic Enterprise leader. Join Nagarro Careers today – where your expertise in Software Engineering Jobs meets limitless potential. (512 words)
Role Description
Requirements Experience : 7.5+ Years Mandatory hands-on Python coding capability for building production-grade GenAI, ML, and RAG pipelines. Demonstrable experience in building agentic workflows, RAG optimizations, and scalable LLM integrations. Strong foundation in traditional ML and data science, including feature engineering, model tuning, and statistical evaluation. Proven experience using Compass AI services in production-grade projects. Experience in building and optimizing ML pipelines on Azure. Good command of the Arabic language (verbal and written) is a plus. Responsibilities Lead the engineering, deployment, and scaling of enterprise-grade AI platforms, including Conversational AI, LLM-based agents, and multi-agent orchestration frameworks. Design, code, and implement reusable frameworks, APIs, and SDKs for scalable enterprise consumption of AI capabilities. Build production-grade GenAI/RAG/ML systems, implementing RAG pipelines, vector database integrations, and knowledge graph-based retrieval. Own MLOps for LLM/ML workloads, including CI/CD, monitoring, retraining, observability, performance tuning, and drift detection. Rapidly translate new research into applied solutions and experiment with emerging tools and techniques. Evaluate AI frameworks and recommend enterprise adoption strategies. Mentor and guide AI engineers, fostering a culture of experimentation and engineering excellence. Lead end-to-end delivery of AI projects, managing risks related to performance, model drift, latency, and integration. Ensure engineering quality through regular code and design reviews and coordinate with data scientists, platform teams, and stakeholders. Own UAT planning, test case development, defect triaging, and ensure production rollout readiness.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Key Responsibilities
- Lead engineering, deployment, and scaling of AI platforms including Conversational AI and LLM agents
- Design and implement reusable frameworks, APIs, SDKs for enterprise AI
- Build production-grade GenAI/RAG/ML systems with vector DB and knowledge graphs
- Own MLOps for LLM/ML: CI/CD, monitoring, retraining, drift detection
- Mentor AI engineers, lead project delivery, UAT, and code reviews
- Evaluate AI frameworks and translate research into solutions
What You Bring (Qualifications)
- 7.5+ years experience in GenAI/ML development
- Bachelor’s or Master’s in Computer Science/IT or related
- Hands-on production-grade Python and Azure experience
- Proven Compass AI services in production projects
Core Skills
Python coding for GenAI/ML/RAG pipelines, Building agentic workflows and RAG optimizations, Scalable LLM integrations and MLOps, Azure ML pipelines and Compass AI services, Traditional ML, feature engineering, model tuning, Vector database integrations and knowledge graphs, Leadership, mentoring, and Arabic language (plus)
Why Nagarro? (Benefits)
- Caring Mindset: Personalized growth with mentorship and work-life balance
- Fluidic Enterprise: Agile environment with flexible roles and rapid innovation
- Global Opportunities: Work across international projects and offices worldwide
- Digital Engineering Excellence: Access to cutting-edge AI/ML tools and Azure tech
- Collaborative Culture: Lead teams in a supportive, experimentation-driven workplace
Locations
- India, India
Salary
Salary details available upon request
4,500,000 - 8,640,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python coding for GenAI/ML/RAG pipelinesintermediate
- Building agentic workflows and RAG optimizationsintermediate
- Scalable LLM integrations and MLOpsintermediate
- Azure ML pipelines and Compass AI servicesintermediate
- Traditional ML, feature engineering, model tuningintermediate
- Vector database integrations and knowledge graphsintermediate
- Leadership, mentoring, and Arabic language (plus)intermediate
Required Qualifications
- 7.5+ years experience in GenAI/ML development (experience)
- Bachelor’s or Master’s in Computer Science/IT or related (experience)
- Hands-on production-grade Python and Azure experience (experience)
- Proven Compass AI services in production projects (experience)
Responsibilities
- Lead engineering, deployment, and scaling of AI platforms including Conversational AI and LLM agents
- Design and implement reusable frameworks, APIs, SDKs for enterprise AI
- Build production-grade GenAI/RAG/ML systems with vector DB and knowledge graphs
- Own MLOps for LLM/ML: CI/CD, monitoring, retraining, drift detection
- Mentor AI engineers, lead project delivery, UAT, and code reviews
- Evaluate AI frameworks and translate research into solutions
Benefits
- general: Caring Mindset: Personalized growth with mentorship and work-life balance
- general: Fluidic Enterprise: Agile environment with flexible roles and rapid innovation
- general: Global Opportunities: Work across international projects and offices worldwide
- general: Digital Engineering Excellence: Access to cutting-edge AI/ML tools and Azure tech
- general: Collaborative Culture: Lead teams in a supportive, experimentation-driven workplace
Tags & Categories
Answer 10 quick questions to check your fit for Senior Staff Engineer (Cloud-Native Gen AI Development) - Careers at Nagarro @ Nagarro.
Related Books and Jobs