5 Agentic Jobs

Job Position Title: Senior Associate_ APA Developer_Agentic Automation_Advisory_Bangalore Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI Years of experience required: 4-7 Years

Job description We're looking for a highly skilled and visionary Agentic AI Implementation Engineer who can design, build, and deploy intelligent systems using Agentic techniques. This role will involve creating autonomous or semi-autonomous agents powered by LLMs that are capable of task planning, contextual decision-making, and iterative information retrieval. You'll work at the intersection of advanced prompt engineering, tool orchestration, and multi-step reasoning, with a strong focus on performance, scalability, and user-centric design. Key Responsibilities Architect and implement agentic workflows using RAG pipelines, LLM agents, and external tool integrations. Design modular, agentic systems that include planning, memory, tool use, and context-aware reasoning. Develop and optimize custom GPTs using advanced prompt engineering and OpenAI\u2019s custom instructions, functions, and APIs. Integrate knowledge bases, vector stores (e.g., FAISS, Pinecone, Weaviate), and APIs into a cohesive Agentic RAG architecture. Fine-tune agent behaviors for various real-world applications (e.g., customer support, research assistants, code agents). Collaborate closely with product managers, UX designers, and backend engineers to ship scalable and robust solutions. Rapidly prototype ideas, run LLM experiments, and iterate on designs using both quantitative and qualitative metrics. Monitor system performance, detect and address reasoning failures, hallucinations, and retrieval mismatches. Stay updated with the latest research and advancements in Agentic AI, RAG, tool use, and autonomous agents. Must-Have Skills Strong expertise in Agentic RAG frameworks such as LangGraph, AutoGPT, CrewAI, LangChain Agents Proven ability to design and implement custom GPTs using advanced prompt strategies and OpenAI API (functions, tools, memory). Hands-on experience with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB), embeddings, and semantic search. Deep understanding of retrieval augmentation , context compression, multi-hop querying, and memory management. Fluency in Python and experience with modern LLM tooling (e.g., LangChain, LlamaIndex). Strong systems thinking and ability to balance trade-offs between model performance, latency, and accuracy. Comfortable with fast-paced, iterative environments and exploratory development. Desired Skills Experience with autonomous agents and frameworks like AutoGen, OpenAgents, or BabyAGI. Understanding of AI safety, ethics, and control mechanisms in agentic systems. Familiarity with evaluation techniques for LLM pipelines (e.g., hallucination detection, prompt testing frameworks).

Role & responsibilities: Lead and mentor team members, fostering a collaborative and high-performing environment. Design complex solutions considering both business and technical aspects of the requirement. Act as an AI advocate and ambassador Design and propose scalable, cloud-native solutions in collaboration with architects. Develop and maintain backend services primarily using Java and Python. Contribute to frontend development using Angular. Provide L3 support and ensure system reliability Collaborate with five cross-functional teams to align on technical solutions and delivery. Ensure QA coverage and support quality assurance efforts Communicate effectively with stakeholders and technical teams to ensure alignment and transparency. Skills Required: Excellent communication skills for effective collaboration with stakeholders and cross-functional teams. Demonstrated leadership capabilities and experience mentoring team members Enthusiasm for AI technologies to introduce AI-supported best practices to improve efficiency and effectiveness of the development lifecycle Enthusiasm for AI technologies to leverage AI-Agentics Proficiency in backend development using Java (Spring Boot) and Python Experience with Angular for frontend development Solid understanding of PostgreSQL and data lake architectures Familiarity with messaging systems such as RabbitMQ Experience with building RESTful APIs and microservices architectures. Strong software engineering skills with a focus on clean, maintainable code Hands-on experience with Azure Cloud, particularly Azure Kubernetes Service (AKS) Knowledge of Apache Spark for data processing Conceptual understanding of ITIL and support processes Proven ability to design scalable, cost-efficient, and cloud-native software solutions Team player and good inter personal skills Shows attitude and aptitude for owning responsibility of own work done and collaborate with other team member in their activities , being able to work in Agile project

About the Role We are looking for an experienced and visionary Generative AI Architect with 8-12 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12–15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring.

Experience: 4+ years of overall experience, with at least 2+ years of hands-on work in Generative AI and Agentic systems Key Skills: Practical application of LLMs, Gen AI, Agentic frameworks (note: candidates may reference tools like CrewAI or AutoGen), prompt engineering, fine-tuning, RAG, multi-agent systems, and autonomous AI agents Technical Proficiency: Strong coding skills in Python; experience with ML frameworks like TensorFlow or PyTorch; familiarity with tools such as LangChain, and platforms like Databricks or AWS Role Type: Individual Contributor only please do not source candidates with a managerial background Location: Mumbai or Bangalore Shift Timing: 12:00 PM – 9:00 PM