Generative AI Engineer - Python/LLM

Experience : to -8 years.

Tenure : 5 years.

Level : Assistant Manager.

Skill : AI ML/Gen AI Engineer.

Location : Hyderabad/ Bangalore / Gurgaon.

Date / Mode of interview : 20th June / Face to Face / Bangalore.

Key Skills : GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows.

Key Responsibilities :

• Design and implement end-to-end generative AI pipelines, including fine-tuning, prompt engineering, and RAG architectures, to deliver high-accuracy outputs for internal and external stakeholders.

• Optimize model performance and latency by implementing efficient inference strategies, ensuring our AI services remain responsive and cost-effective at scale.

• Collaborate with product and engineering teams to integrate AI-driven features into existing workflows, directly enhancing the value proposition for our end users.

• Establish best practices for model evaluation, monitoring, and guardrails to ensure our AI deployments are safe, reliable, and aligned with ethical standards.

• Lead technical initiatives by researching emerging trends in LLMs and generative models, applying these insights to maintain our competitive edge in the market.

Key Qualifications :

• A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

• Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

• 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

• Proven experience in : Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

• Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

• Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

• Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.