Urgent! Artificial Intelligence Architect - LLM/RAG Job Opening In India, India – Now Hiring Skyleaf
<p><p><b>Job Title : </b> Agentic AI Architect<br/><br/><b>Experience Level : </b> 10+ years (minimum 23 years in ML, Gen AI and Multi-Agent Systems)<br/><br/><b>Key Responsibilities : </b></p><p><p><b><br/></b></p>- Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, CrewAI, AutoGen, etc.).<br/><br/></p><p>- Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents.<br/><br/></p><p>- Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.<br/><br/></p><p>- Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support).<br/><br/></p><p>- Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG).<br/><br/></p><p>- Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints.<br/><br/></p><p>- Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning.<br/><br/></p><p>- Collaborate with stakeholders to translate business requirements into technical solutions using agent-based paradigms.<br/><br/></p><p>- Continuously monitor trends in multi-agent systems, cognitive architectures, and open-source AI frameworks.<br/><br/><b>Must-Have Skills : </b><br/><br/></p><p>- 2+ years of hands-on experience in agentic AI / multi-agent systems.<br/><br/></p><p>- Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks.<br/><br/></p><p>- Strong background in Python and experience with prompt engineering, tools integration, and chaining logic.<br/><br/></p><p>- Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures.<br/><br/></p><p>- Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral).<br/><br/></p><p>- Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure).<br/><br/></p><p>- Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments.<br/><br/></p><p>- Model-cost profiling and budgeting (API call minimization, batch vs.
streaming)<br/><br/></p><p>- Latency tuning for real-time agents, Autoscaling strategies.<br/><br/><b>Good-to-Have Skills : </b><br/><br/></p><p>- Exposure to Autonomous AI agents (AutoGPT, BabyAGI, CAMEL, MetaGPT).<br/><br/></p><p>- Understanding of LLM fine-tuning, adapters, and RLHF.<br/><br/></p><p>- Experience with agent simulation, environment modelling, or reinforcement learning is a plus.<br/><br/></p><p>- Familiarity with compliance, privacy, and safety in GenAI deployments.<br/><br/></p><p>- Prior experience in building domain-specific agents (Lifescience, healthcare, Pharma).</p><br/></p> (ref:hirist.tech)
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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide
Real-time Artificial Intelligence Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Artificial Intelligence in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 18060 jobs in India and 1144 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Artificial Intelligence roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Skyleaf is currently hiring and seeking a Artificial Intelligence Architect LLM/RAG to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Skyleaf adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Artificial Intelligence Architect LLM/RAG Jobs India varies, but the pay scale is rated "Standard" in India. 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.
Key qualifications for Artificial Intelligence Architect LLM/RAG typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Artificial Intelligence Architect LLM/RAG interview at Skyleaf, 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 Skyleaf's products or services and be prepared to discuss how you can contribute to their success.
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