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R2R Consults
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Generative AI Engineer - Large Language Models (7-14 yrs)
R2R Consults
posted 5d ago
Fixed timing
Key skills for the job
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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