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Senior Generative AI Developer - LLM Job Opening In Gurugram – Now Hiring Bean HR Consulting


Job description

<p><p><b>Job Title :</b> Senior Generative AI Developer (4 to 7 years experience).<br/><br/> Lead the design and deployment of enterprise-grade generative AI systems, driving innovation in LLM orchestration, multimodal architectures, and scalable AI/ML pipelines.<br/><br/> Own the full lifecycle from research to production, ensuring alignment with business objectives and ethical AI standards.<br/><br/> This will be a hands-on individual contributor role as well as providing technical guidance to junior Responsibilities : </b></p><p><br/><b>Technical Leadership :</b></p><br/></p><p>- Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization.<br/><br/></p><p>- Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter AI Development :</b></p><p><br/></p>- Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps.<br/><br/></p><p>- Implement enterprise security : VPC peering, private model endpoints, and data residency & Strategy :</b></p><p><br/></p>- Pioneer GenAI use cases : Agentic workflows, AI-driven synthetic data generation, real-time fine-tuning.<br/><br/></p><p>- Establish AI governance frameworks : Model cards, drift monitoring, and red-teaming Impact :</b></p><p><br/></p>- Partner with leadership to define AI roadmaps and ROI metrics (e.g., $ saved via AI-driven automation).<br/><br/></p><p>- Mentor junior engineers and evangelize GenAI best practices across the :</b></p><p><br/><b>Education :</b> Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in Mastery :</b> :</b> Expert-level PyTorch, TensorFlow Extended (TFX), ONNX :</b> Certified in Azure AI Engineer Expert and/or GCP Professional ML Expertise :</b></p><p><br/></p>- Shipped production GenAI systems (e.g., 10k+ QPS chatbots, code autocomplete at GitHub Copilot scale).<br/><br/></p><p>- Advanced prompt/response engineering : Self-critique chains, LLM cascades, guardrail-driven Experience :</b></p><p><br/><b>Cloud AI experience :</b></p><b><br/></b></p><p><b>Azure :</b> Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search.<br/><b><br/></b></p><p><b>GCP :</b> Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Projects :</b></p><p><br/></p>- Automation projects to reduce significant $$ costs.<br/><br/></p><p>- Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration.<br/><br/></p><p>- Led AI compliance for regulated industries (healthcare, Qualifications Additions :</b></p><p><br/><b>Certifications :</b></p><b><br/></b></p><p><b>Azure :</b> Microsoft Certified : Azure AI Engineer :</b> Google Cloud Professional Machine Learning Engineer.</p><p><br/></p>- Experience with hybrid/multi-cloud GenAI deployments (e.g., training on GCP TPUs, serving via Azure endpoints).</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Senior Generative Potential: Insight & Career Growth Guide


Real-time Senior Generative Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Generative in Gurugram, India, highlighting market share and opportunities for professionals in Senior Generative roles.

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7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Generative AI Developer LLM typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Generative AI Developer LLM Job Success

Bean HR Consulting interview tips for Senior Generative AI Developer   LLM

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Before the Interview:

Research: Learn about the Bean HR Consulting's mission, values, products, and the specific job requirements and get further information about

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Generative AI Developer LLM interview at Bean HR Consulting, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Bean HR Consulting's products or services and be prepared to discuss how you can contribute to their success.

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