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Generative AI Engineer - Large Language Models (7-14 yrs)

7-14 years

Generative AI Engineer - Large Language Models (7-14 yrs)

R2R Consults

posted 5d ago

Job Role Insights

Fixed timing

Job Description

Working Days : Hybrid (3 days work from office)

Location : Noida/Pune

Job description :

We're looking for a Senior Engineer to take a leadership role in designing and implementing next-generation AI infrastructure and agent services. This role is perfect for an innovative engineer passionate about building scalable solutions for hosting Large Language Models (LLMs) and supporting AI-driven applications. You'll collaborate with industry-leading platforms such as OpenAI, AWS Bedrock, and Azure AI, pushing the boundaries of what's possible in AI.

Responsibilities and Duties :

- Design and enhance AI platform capabilities, including LLM hosting services.

- Partner with teams across the organization to develop Predictive and Generative AI solutions.

- Collaborate within a high-impact, mission-driven Scrum team.

- Participate in DevOps, release cycles, and on-call activities supporting production deployments.

- Contribute to technology working groups and internal open-source initiatives.

Education and Experience :

- B.E in Computer Science Engineering, or equivalent technical degree with strong computer science fundamentals

- 6+ to 9 years of professional experience developing and deploying production-grade software

- Experience in an Agile software development environment

- Excellent communication and collaboration skills with the ability to work in a team-oriented environment

Technical Skills :

- Proficiency in TypeScript and Python programming languages.

- Strong background in API development (RESTful APIs, Web Services) with expertise in Microservices architecture.

- Experience working with Amazon Web Services (AWS) and cloud infrastructure.

- Hands-on experience with CI/CD pipelines, automated testing, and monitoring.

Additional Requirements :

- Experience with deep learning frameworks (PyTorch, TensorFlow), LLMs, LangChain, and transformer models

- Expertise in operationalizing, monitoring, and scaling ML models in cloud environments

- Familiarity with A/B testing platforms and AI-driven experimentation


Functional Areas: Other

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What people at R2R Consults are saying

What R2R Consults employees are saying about work life

based on 44 employees
52%
67%
62%
100%
Strict timing
Alternate Saturday off
No travel
Day Shift
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R2R Consults Benefits

Job Training
Soft Skill Training
Work From Home
Team Outings
Cafeteria
Education Assistance +6 more
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