1851 Llm Jobs

Exp : 6+ Years of experience C# with GENAI Location : Pune/ Kolkata / Indore Skills - Python, C#, Agentic AI, MCP, GenAI, RAG, Semantic search AI Engineer Required Skills & Experience Core Technical Skills Framework Knowledge Solid understanding of MCP vs. A2A frameworks. Ability to differentiate and work with AI agents vs. RAG (Retrieval-Augmented Generation) approaches. 2) Search & Data Handling Proficiency in semantic search methodologies. Experience with vector databases and related libraries, such as Redis VL and Pinecone. 3) Programming Languages Strong proficiency in C# and Python . 4) Prompt Engineering Understanding of prompt engineering fundamentals and best practices. 5)AI Model Expertise Knowledge of transformers, embeddings, and parameter tuning in agentic frameworks. 6) AI Model ExpertiseI / Chatbots Hands-on experience with inference, pattern recognition, reasoning, generative AI, and multi-modal capabilities. 7) Training & Optimization Experience with fine-tuning, machine learning model training, feedback loops, reinforcement learning, data labeling/tagging, and self-improving systems. 8) Tool & Platform Familiarity Proficiency with AI tools such as Cursor, Claude, Perplexity, and OpenAI ChatGPT. Experience working with Amazon Bedrock and/or Google Vertex AI 9) Automation & Web Development Experience with website development and automation tools, including n8n , Googles Opal, and Lovable. Soft Skills Highly curious and passionate about AI. Strong communication and collaboration abilities. Teachable, adaptable, and open to feedback. Commitment to continuous learning, especially in the rapidly evolving AI landscape.

Total exp : 6 years Relevant :3 years skills: RAG, LLM, Vector db, GenAI Job Location : Trivandrum Key Responsibilities: Design, build, and optimize RAG pipelines for document-level and multi-turn QA systems. Fine-tune or prompt-tune foundation models (LLMs) for domain-specific tasks. Develop and deploy ML/DL models to support NLP/NLU tasks like summarization, classification, and retrieval scoring. Integrate vector databases, semantic search tools, and embedding models for high-performance document retrieval. Work with unstructured and semi-structured data sources (PDFs, HTML, JSON, SQL, etc.). Collaborate with data engineers, ML engineers, and product teams to build end to-end generative AI solutions. Monitor performance, latency, and relevance metrics; iterate on retrieval and generation models. Implement prompt engineering strategies and hybrid approaches (rule-based + neural) to enhance model reliability. Contribute to research and innovation in applied generative AI, and stay up-to date with the latest in LLM, RAG, and MLOps ecosystems Key Skills Required: Strong experience with RAG architectures and hybrid retrieval systems. • Solid hands-on knowledge of LLMs (e.g., GPT, Mistral, LLaMA, Claude, DeepSeek, etc.) and embedding models (e.g., SBERT, OpenAI, HuggingFace models). Proficiency in machine learning / deep learning using PyTorch, TensorFlow, Hugging Face Transformers, etc. Experience with vector databases (e.g., FAISS, Weaviate, Pinecone, Qdrant). Experience in text chunking, retrieval scoring, prompt tuning, or LoRA/PEFT methods. Strong background in NLP, information retrieval, and knowledge graphs is a plus. Comfortable with Python and associated data science stacks (Pandas, NumPy, Scikit-learn). Experience working with real-world messy data (PDF parsing, OCR, HTML scraping, etc.) If interested kindly call share your resume at clarita.fernandes@sperton.com Regards, Clarita

Job Title: AI Engineer / Senior AI Engineer Job Location: Remote Shift Timings: 12:00 PM IST to 9:00 PM IST https://www.linkedin.com/showcase/collaberagtc/ https://collabera.com/globaltalentcenter/ https://www.collabera.com/ https://www.youtube.com/@CollaberaGTC/videos https://instagram.com/collaberagtc?igshid=ZWQyN2ExYTkwZQ== Collabera, a leader in staffing Industry, is looking for AI Engineer / Senior AI Engineer Our employees work in fast paced, high energy work environment driven by our unique work culture that embraces competitiveness, passion and work hard-play hard approach to the fullest. Our clientele comprises of many Fortunes 100/500 organisations across various industry domains. About the Role We are expanding our AI team to build, scale and enhance our production-grade AI systems. As an AI Engineer, you will work across the full spectrum of AI traditional ML, NLP, LLM-powered applications, conversational AI, multimodal AI (text, audio, video), agentic architectures, and evolving AI use cases — with a strong focus on Azure-based deployment. This role is about applying and integrating AI technologies into enterprise solutions and workflows, driving efficiency, automation, and actionable insights across business functions. Key Responsibilities Design, build, and deploy AI/ML models and applications on Azure (Azure ML, Cognitive Services, AKS, Functions). Develop and integrate LLM-powered applications (Azure OpenAI, GPT-based APIs, Hugging Face models). Build and deploy chatbot and conversational AI systems for enterprise productivity, knowledge and information management. Develop traditional ML models (classification, prediction, recommendation) and combine them with LLM/NLP workflows. Architect and implement agentic AI systems and orchestration workflows. Work with vector databases (Pinecone, Weaviate, Milvus, FAISS, Qdrant) for retrieval-augmented generation (RAG). Explore and implement emerging AI use cases such as video analytics, emotion/sentiment analysis, and ranking systems. Integrate AI solutions with enterprise applications and platforms (ERP, CRM, ITSM, HR systems). Build and integrate APIs/web services for enterprise applications. Ensure production readiness: CI/CD, monitoring, observability, performance tuning, and cost optimization. Collaborate with product, engineering, and IT teams to deliver end-to-end AI solutions. Required Skills & Experience 4–10 years in software/AI engineering with strong Python skills. Hands-on experience with traditional ML techniques, NLP pipelines, and using LLMs via APIs and SDKs. Prior experience building chatbots or conversational AI systems in production. Familiarity with ML/AI libraries and toolkits (PyTorch, TensorFlow, Hugging Face, LangChain/LlamaIndex/Semantic Kernel). Proven track record deploying AI applications on Azure. Experience with vector databases and embeddings for retrieval. Exposure to agentic systems and orchestrating multi-step reasoning. Skilled at building APIs/microservices and integrating AI into enterprise systems. Familiar with MLOps practices: CI/CD, model lifecycle, monitoring, and scaling. Preferred Qualifications Experience with agent frameworks (LangChain, AutoGen, Semantic Kernel, Haystack). Knowledge of prompt design, RAG workflows, and LLM integration best practices. Strong background in NLP pipelines (NER, sentiment, text classification, search). Experience with multimodal AI (text, audio, video), computer vision, or emotion analysis. Knowledge of data pipelines/ETL for AI workloads. Understanding of enterprise AI security, compliance, and governance. Azure certifications or prior enterprise-scale Azure deployments. Looking forward to hearing from you!

Position Title : Associate Professor Law Organization : ITM University, Raipur Location : Uparwara Gaon, Atal Nagar, Raipur, Chhattisgarh Transport : Pickup & Drop Bus Service Available Working Days : 6 Days/Week (Last Saturday of the month is off) Shift : General Shift – 7 hours/day Required Candidate Profile : Educational Qualifications : Ph.D. in Law (Mandatory) LL.M. in Law (Mandatory) Experience : Prior teaching and research experience as per UGC norms for Associate Professors Skills : Strong communication and interpersonal skills Positive attitude with flexibility and a student-centric approach Research-oriented mindset Job Description : Teach core and elective law courses at undergraduate and postgraduate levels Plan, prepare, and deliver lectures aligned with curriculum objectives Conduct academic and personal mentorship of students Evaluate and assess students’ academic work and progress Handle invigilation duties during examinations Participate in staff and departmental meetings Manage academic and general administrative responsibilities Guide Ph.D. scholars and supervise research activities Write and publish research papers, articles, and academic publications Contribute to writing research proposals and securing research funding Represent the university in academic seminars, conferences, and workshops Any other responsibilities assigned from time to time by university leadership How to Apply : Interested candidates are requested to email their updated CV/Resume to: raipurhr@itmuniversity.org careers@itmuniversity.org For further queries, contact: Shilpa Ma'am – 9109110154

About us: University Living is a global student housing marketplace that helps international students find the best place to stay near university campuses around the world. Currently, our platform offers 2Mn beds in 65K + properties across 512+ international education hubs in the UK, Ireland, USA, Canada, Europe, Australia, New Zealand, Singapore & UAE. Students can consult a 24/7 support team of accommodation experts to discover, compare and book value-for-money accommodation based on their budget, desired location, and other personal preferences. As the AI & ML Lead, you will spearhead the development of our conversational AI system. You will define the technical strategy, lead model design and implementation, and work on large language models (LLMs) to fine-tune, deploy, and optimize human-like conversational agents. This role involves hands-on development, collaboration with cross-functional teams, and leveraging tools such as OpenAI and cloud systems like AWS for scalable AI deployments. Key Responsibilities Lead the design and development of LLM-based AI models Integrate voice APIs and platforms (e.g., Twilio, Exotel, ElevenLabs) for seamless call handling and speech workflows. Implement Retrieval-Augmented Generation (RAG) to improve response relevance and accuracy Deploy and manage AI models on cloud infrastructure (AWS/GCP/Azure) Establish MLOps practices, model monitoring, and version control. Stay updated on GenAI trends, LLM research, and speech tech advancements Required Qualifications 6+ years of hands-on AI/ML experience, with a strong focus on NLP, LLMs, and conversational AI. Proven expertise in fine-tuning and deploying large language models (e.g., GPT, OpenAI models, BERT). Strong understanding of ASR, speech recognition, & text-to-speech (TTS) Proficiency in Python and ML frameworks like TensorFlow or PyTorch. Experience with cloud-based AI deployments (AWS/GCP/Azure). Knowledge of RAG techniques, vector databases, and real-time inference pipelines. Strong problem-solving skills and experience leading AI/ML teams or projects.

Key Responsibilities: Design and implement AI product features Maintain and optimize existing AI systems Train, evaluate, deploy, and monitor ML models Design ML pipelines for experiment, model, and feature management Implement A/B testing and scalable model inferencing APIs Optimize GPU architectures, parallel training, and fine-tune models for improved performance Deploy LLM solutions tailored to specific use cases Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks

Role & responsibilities Up to date on AI technology trends including Agentic AI, LLM etc Define AI offerings for DCM based on existing setup Create Collateral Create Eco System by partnering with OEM Interact with Delivery team and define new building blocks Define Business Target Coordinate with Sales and Marketing to achieve target Provide pre-sales support to Sales and Marketing Passion to Make a successful new business Ability to present and communicate well with multiple teams

Role & responsibilities We are looking for Prompt Engineer (Gen AI) permanent position with MNC company for Mumbai (Goregaon) location for Hybrid mode.

Key Responsibilities: Design, build, and maintain CI/CD pipelines for GenAI model development, training, and deployment. Automate provisioning and scaling of infrastructure for GenAI workloads using tools like Terraform , Ansible , or Pulumi . Optimize GPU/TPU usage and monitor model performance in production environments. Integrate GenAI workflows (e.g., LLM fine-tuning, embedding generation, RAG pipelines) into production-grade infrastructure. Collaborate with ML Engineers, Data Scientists, and Platform Engineers to ensure reproducibility, versioning, and traceability of models and datasets. Implement observability for GenAI workloads (logging, monitoring, alerting). Ensure best practices around security, compliance, and cost optimization in cloud and hybrid environments. Required Skills & Qualifications: 5+ years of DevOps / MLOps experience, with at least 12 years in GenAI-focused environments. Strong proficiency in automation tools: Docker, Kubernetes, Terraform, Jenkins/GitLab CI, Helm . Hands-on experience with LLMs , transformer-based models , or GenAI frameworks (e.g., Hugging Face, LangChain, OpenAI, or similar). Deep understanding of cloud platforms (AWS/GCP/Azure), especially AI/ML services like Sagemaker, Vertex AI, or Azure ML. Experience in monitoring large-scale systems (Prometheus, Grafana, ELK). Familiarity with model/version management tools (MLflow, Weights & Biases, DVC). Strong scripting skills – Python, Bash, or Go. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation) pipelines. Exposure to LLMOps , prompt management tools, or GenAI orchestration platforms (e.g., LangServe, BentoML, FastAPI). Experience with enterprise security standards for ML environments. Soft Skills: Strong problem-solving mindset and ownership of delivery. Ability to lead infrastructure design discussions for GenAI projects. Effective communicator, able to work cross-functionally across AI, data, and DevOps teams. What You’ll Get: Opportunity to shape and scale GenAI infrastructure in production. Work with state-of-the-art models and tools. Competitive compensation, flexible working environment, and growth opportunities.

Role & responsibilities We are looking for Technical Delivery Manager (Gen AI) permanent position with MNC company for Mumbai (Goregaon) location for Hybrid mode.

Job Title: Principal Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Convert broad vision and concepts into a structured data science roadmap and guide a team to successfully execute on it Collaborate with AI Product managers, UI/UX, stakeholders, etc. to design, develop, and deploy AI/LLM models Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Expertise in designing solutions using semantic search and vector embeddings Translate high-level business goals into measurable, AI-powered deliverables Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management skills required to deliver complex projects, including effort/time estimation Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 10+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

You are required to have a strong background in Python programming, database management, and data science methodologies. Prior experience with conversational AI systems or chatbot development is highly desirable. You should possess strong research & analytical skills and sound knowledge of Deep learning, transformer, GAN's, VAE's, and LLM. Proven experience in natural language processing, prompt engineering, or similar roles is essential. Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg, TensorFlow, PyTorch, spaCy) is also necessary. **Key Responsibilities:** - Design and develop creative and effective prompts for natural language understanding - Collaborate with software engineers and data scientists to integrate prompts into conversational interfaces - Continuously iterate and refine prompts to improve the quality and performance of the conversational AI system - Analyze user interactions and feedback to identify areas for prompt enhancement and adjust them accordingly - Analyze user interactions, model outputs, and performance metrics and feedback to continuously improve prompt-based systems - Utilize data-driven insights to enhance the effectiveness and efficiency of the prompt engineering process - Work on optimizing algorithms for prompt generation and response to improve system performance - Stay updated on the latest advancements in natural language processing and integrate innovative techniques into prompt engineering - Collaborate with cross-functional teams, including software developers, data scientists, and UX designers, to ensure a seamless integration of prompt systems into products - Conduct thorough testing and evaluation of prompts to assess their effectiveness and efficiency - Address and resolve any issues related to prompt performance and user experience **Qualifications Required:** - Minimum 2-4 years of experience in Python programming, database management, and data science methodologies - Prior experience with conversational AI systems or chatbot development - Strong research & analytical skills - Sound knowledge of Deep learning, transformer, GAN's, VAE's, and LLM - Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg, TensorFlow, PyTorch, spaCy) - Attention to detail - Team player - Quick learner - Critical thinker and problem-solving skills - Sound knowledge of Google Docs and spreadsheets **What GlobalLogic Offers:** At GlobalLogic, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust organization. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences since 2000. Join us to collaborate with forward-thinking companies and be a part of transforming businesses and industries through intelligent products, platforms, and services.,

As part of the R&D Disruptive product team at Contentstack, you will play a crucial role in ideating and developing the MVP product, as well as creating new products. Your responsibilities will include: - Working with emerging technologies and experimenting with new ones to develop prototypes. - Collaborating with various product and engineering teams to integrate emerging tech into existing products. - Engaging in full-stack development, from code commits to production, to ensure the best user experience. - Designing, developing, and testing features throughout the development lifecycle. - Writing high-quality, scalable, testable, and reliable code. - Collaborating with cross-functional teams to understand the domain and deliver appropriate solutions. - Maintaining an open mindset for learning and adapting to new roles. - Continuous improvement through active learning and feedback mechanisms. Qualifications required for this role include: - Prior experience in Generative AI (LLM) and integrating with LLM APIs. - Proficiency in working with LLM Agents and creating Agentic AI solutions. - Experience in developing RAG pipelines and Prompt Engineering. - Ability to quickly learn new skills and apply them to solve complex problems. - Strong object-oriented design and development skills. - Knowledge of Software Development Life Cycle and proficiency in HTML, CSS, JavaScript, Node.js. - Excellent communication skills. - Exposure to databases such as MongoDB, Redis, and/or relational databases is preferred. - Familiarity with the tech stack including GenAI, Machine Learning, LLM, RAG, and NLP. - Experience level required is 2 to 6 years. About Contentstack: (Contentstack is a company focused on providing innovative solutions in the content management space. For any additional details about the company, please refer to their official website.),

As a professional experienced in NLP/LLM/GenAI, you will be working at the Artificial Intelligence Advancement Center alongside leading technical experts from around the world. Your role will involve designing NLP/LLM/GenAI applications/products by following robust coding practices. You will explore state-of-the-art models and techniques for automotive industry use cases and conduct ML experiments to train/infer models while ensuring they adhere to memory and latency restrictions. Additionally, you will deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools and showcase these applications through web frameworks like Dash, Plotly, Streamlit, etc. You will also be responsible for converging multibots into super apps using LLMs with multimodalities and developing agentic workflows. Key Responsibilities: - Design NLP/LLM/GenAI applications/products by following robust coding practices - Explore state-of-the-art models/techniques for automotive industry use cases - Conduct ML experiments to train/infer models and build models adhering to memory & latency restrictions - Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools - Showcase NLP/LLM/GenAI applications through web frameworks like Dash, Plotly, Streamlit, etc. - Converge multibots into super apps using LLMs with multimodalities - Develop agentic workflows using Autogen, Agentbuilder, langgraph - Build modular AI/ML products that can be consumed at scale Qualifications: - Bachelors or masters degree in computer science, Engineering, Maths, or Science - Completion of modern NLP/LLM courses/open competitions is welcomed In addition to the technical requirements mentioned above, the company also values strong communication skills and teamwork abilities through various platforms like Git, Slack, email, and calls with team members across geographies. If interested, you are required to share an updated CV with compensation details, notice period, current location, and experience in the following skills: - NLP/LLM/GenAI applications/products - State-of-the-art models/techniques - Experience in LLM models like PaLM, GPT4, Mistral (open-source models) - ML/DL Skills - NLP Skills - GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI,

We are looking for Python + AIML Candidates to join us as soon as possible !! Key Skills : Python (Development / Programming Experience Must) + AIML (GenAI / Langchain / RAG / Semantic Search / LLM / NLP) Experience - 5 to 10 yrs Notice Period - Immediate to 45 Days Job Location - Bangalore (Hybrid) Interview Process : 3 to 4 level interviews (which will include one level In person interview from Chennai / Pune / Bangalore / Noida location) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

Python Development + Basic Gen AI – 4 to 15 Years Rest API - 2 Years Minimum Fast API/DJango/Flask-2 Years Gen AI/LLM Models - 1 Year Minimum Rag - 1 Year - Good to have Prompt Engineering - 1 Year Minimum

https://zrec.in/fzrVM?source=CareerSite

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

Education, Experience, & Skills Required: 2-7 years of experience in a software engineering role, with exposure to AI/ML concepts. Familiarity with working in an Agile environment preferred. Bachelors Degree or equivalent in Computer Science, Engineering, or a related field. Software engineering experience, with exposure to AI model integration and generative AI frameworks. Knowledge of modern programming language such as: Python - preferred for AI applications Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies. Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB). Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks. Understanding of GenAI model deployment in cloud environments (AWS or Azure). Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering. Behaviors & Abilities Required: Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration. Ability to write performant, scalable, and maintainable code for AI-powered applications. Critical thinking skills to assess AI-generated outputs and improve model reliability. Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges. Proven track record of delivering AI-integrated features while following best practices in software development. Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers. Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities.

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, evaluation, and deployment. Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques. Own the model lifecycle from experimentation to production-grade deployment. Partner with engineering/product teams to translate business needs into scalable AI solutions. Required Skills 7+ years in data science, with 3+ years focused on NLP and LLMs. Proven expertise in fine-tuning large-scale models on enterprise or open datasets. Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies. Experience optimizing inference pipelines for production environments. Strong coding background in Python, PyTorch, and scalable ML architectures. Deep understanding of model alignment, evaluation strategies, and generative QA tasks. Leadership Skills Ability to lead cross-functional teams across data science, MLOps, and software engineering. Experience mentoring junior team members and reviewing model design/code. Strong communication skills to influence technical and non-technical stakeholders.

Job Summary We are seeking a highly skilled and motivated AI/ML Engineer specializing in Agentic AI to join our dynamic team. The ideal candidate will have a strong foundation in machine learning and a passion for building intelligent, autonomous agents. You will be responsible for designing, developing, and deploying sophisticated AI agents that can perform complex tasks, interact with their environment, and make intelligent decisions. This role will involve working with state-of-the-art large language models (LLMs) and agentic frameworks to create next-generation AI systems. Key Responsibilities Design and Develop AI Agents: Architect, build, and maintain autonomous AI agents capable of complex reasoning, planning, and tool use. LLM Integration and Fine-Tuning: Leverage and fine-tune large language models (LLMs) from providers like OpenAI, Google, and open-source alternatives to serve as the core of our AI agents. Framework Implementation: Utilize agentic AI frameworks such as LangChain, AutoGen, and CrewAI to structure and develop agentic workflows. Tool and API Integration: Develop and integrate tools and APIs to enable AI agents to interact with various data sources and external systems. Data and Knowledge Management: Implement and manage vector databases and knowledge graphs to provide agents with long-term memory and contextual understanding. Prototyping and Iteration: Rapidly prototype and iterate on new agentic AI concepts and applications. Collaboration: Work closely with cross-functional teams, including product managers, software engineers, and data scientists, to deliver high-quality AI solutions. Stay Current: Keep abreast of the latest advancements in agentic AI, LLMs, and machine learning to drive innovation within the company. Required Qualifications Bachelors degree in computer science, Artificial Intelligence, a related technical field, or equivalent practical experience. Proven experience in designing and developing AI/ML models and systems. Strong programming skills in Python and familiarity with common machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience with large language models (LLMs) and related concepts like prompt engineering and fine-tuning. Familiarity with agentic AI concepts and frameworks (e.g., LangChain, AutoGen). Experience with data storage and retrieval systems, including vector databases (e.g., Pinecone, Weaviate). Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.

AI Models: Leverage large language models for natural language understanding and multimodal response generation.RAG Layer: Implement a vector search system to enhance search accuracy and relevance Agentic Framework Design and develop

AI / Gen AI Senior Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Googles Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 3 - 7 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, youll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Manager AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a manager –- AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google’s Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 9 - 14 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-8 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Join Perceptive Labs as our foundation engineer to build APIs, multi-tenant infra, and AI agents (Python/TS, Postgres, Redis, Temporal, LLMs). High ownership, startup pace, salary. Turn your vision into reality and learn while doing it