Agentic AI Developer/Consultant BlitzenX

2.0 - 8.0 years

0 Lacs

karnataka

On-site

As an Agentic AI Developer/Consultant, you will be responsible for designing, building, and deploying LLM-powered autonomous agents that possess the capabilities of reasoning, tool utilization, and executing long-horizon goals. Your role will involve architecting multi-agent systems that collaborate effectively, integrating LLMs with external tools and APIs, implementing memory modules, and driving Proof of Concepts towards production-grade systems. Collaboration with AI Strategy and Platform teams is crucial to define reusable patterns, guardrails, and agent behaviors. Continuous research and development are expected to stay ahead of industry trends and anticipate upcoming advancements in the field of AI systems. To excel in this role, you should have a minimum of 8 years of experience in software engineering or AI system development, with at least 2 years focusing on LLMs, agents, or similar paradigms. Proficiency in Python and a deep understanding of agentic stacks such as LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel are essential. Strong software design fundamentals, including asynchronous programming, microservices architecture, and cloud-native workflows, will be advantageous. The successful candidate will have the ability to transform user stories into well-architected reasoning systems that require minimal human intervention. Innovation and the ability to write new pages in the agentic AI playbook are highly valued. Delivering tangible value through scalable solutions that effectively address real-world problems is a key measure of success. In return, you can expect to work in a high-autonomy, high-accountability culture with early access to cutting-edge agentic systems in enterprise settings. Direct engagement with leadership, collaborative peers, and challenging problem-solving opportunities are provided. Competitive compensation, substantial growth prospects, and exposure to global projects are part of the package.,

Posted 1 day ago

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AI Developer RChilli Inc.

2.0 - 6.0 years

0 Lacs

punjab

On-site

As an AI Developer specializing in Agentic AI, you will be responsible for designing, developing, and deploying Agentic AI systems that exhibit autonomous task execution capabilities through the integration of reasoning, memory, and tool use. Your role will involve architecting intelligent agents that can dynamically interact with APIs, data sources, and third-party tools to achieve diverse objectives with minimal human intervention. It will also be essential to optimize the performance of agentic frameworks by enhancing model accuracy, minimizing response latency, and ensuring scalability and reliability in real-world applications. Collaborating with cross-functional teams, including product managers, designers, and backend engineers, will be a key aspect of your job to convert business requirements into modular agent behaviors. You will be expected to integrate advanced NLP techniques, such as Retrieval-Augmented Generation (RAG), and knowledge graph structures to enhance decision-making and contextual awareness of agents. Rigorous profiling, debugging, and performance testing of agent workflows will be necessary to identify bottlenecks and improve runtime efficiency. In terms of qualifications, a Bachelor's degree in computer science or a related field is required, with specialization or certification in AI or ML being a plus. The ideal candidate will have at least 2 years of hands-on experience in AI/ML/DL projects, with a strong emphasis on NLP, NER, and text analytics. Practical expertise in agent architecture, task decomposition, and integration with external APIs, databases, and tools will be essential. Experience with RAG pipelines, generative AI, deep learning methods, recommendation engines, and AI applications within HR or similar domains is highly desirable. Key skills and expertise we look for in a candidate include proven experience in building Agentic AI systems, designing autonomous agents capable of multi-step reasoning, memory management, and tool use. Proficiency in agent design patterns, task decomposition, dynamic planning, and decision-making logic will be crucial, along with the ability to integrate multi-agent coordination, goal-setting, and feedback loops to create adaptive agent behavior. Strong command over prompt engineering, contextual memory structuring, and tool calling mechanisms within LLM-powered agent workflows is also required. Familiarity with tools and technologies such as LangChain, CrewAI, AutoGen, AutoGPT, BabyAGI for building intelligent agents, as well as LLM APIs like OpenAI (GPT-4/3.5), Anthropic (Claude), Cohere, Hugging Face Transformers is beneficial. Experience with memory and vector databases, prompt management tools, RAG pipelines, autonomy infrastructure tools, observability tools, and testing frameworks for agentic behavior will be advantageous in this role. If you possess the necessary technical expertise and skills in Agentic AI development, this role offers an exciting opportunity to work on cutting-edge AI systems and contribute to the advancement of intelligent agent technology.,

Posted 2 days ago

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