345 Prompt Engineering Jobs - Page 7

The project is expected to last for 6 months with a monthly rate of 1.60 Lac. The ideal candidate should have 4-7 years of experience and the work location will be in Bangalore with hybrid working options available. As a candidate, you are required to have a strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related Gen AI technologies. Additionally, you should have proficiency with Azure Databricks and possess strong analytical, problem-solving, and stakeholder communication skills. A solid understanding of data governance frameworks, compliance, and internal controls is essential. Your experience should include data quality rule development, profiling, and implementation, as well as familiarity with Azure Data Services such as Data Lake, Synapse, and Blob Storage. Preferred qualifications for this role include experience in supporting AI/ML pipelines, particularly with GenAI or LLM based models. Proficiency in Python, PySpark, SQL, and Delta Lake architecture is desired, along with hands-on experience in Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics. A background in data engineering with a strong expertise in Databricks would be beneficial for this position.,

As a Solution Architect/BDM specializing in Hyperscalers at NTT DATA, your role is crucial in assessing client needs, recommending appropriate cloud AI technologies, and collaborating with delivery teams to create end-to-end solutions. You are expected to demonstrate deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers such as AWS Bedrock, Azure OpenAI Service, and Google Vertex AI. Your responsibilities include translating client business requirements into detailed technical specifications, sizing cloud infrastructure requirements, and optimizing cost models for AI workloads. In terms of business development, you will be responsible for sizing and qualifying opportunities in the Cloud AI space, developing proposals and solution presentations, nurturing client relationships, and collaborating with sales teams to create competitive go-to-market strategies. Additionally, you will play a key role in project and delivery leadership by working with delivery teams to develop solution approaches, lead technical discovery sessions, and ensure technical solutions meet client requirements. Your role will also involve AI Agent Development, where you will architect multi-agent systems leveraging cloud platform capabilities, develop frameworks for agent orchestration, and design cloud-native agent solutions that integrate with existing enterprise systems. Furthermore, your knowledge, skills, and attributes should include a strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads, as well as the ability to convert business requirements into technical specifications. Basic qualifications for this position include 8+ years of experience in solution architecture or technical consulting roles, 3+ years of specialized experience working with LLMs and Private AI solutions, and a bachelor's degree in computer science, AI, or related field. Preferred qualifications include a master's degree or PhD in Computer Science or related field, cloud certifications from AWS, Azure, or GCP, and experience with autonomous agent development using cloud-based AI services. This position is based in Delhi or Bangalore and offers a hybrid working environment. NTT DATA, a trusted global innovator of business and technology services, is committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries, NTT DATA invests significantly in R&D to support organizations and society in embracing the digital future. As an Equal Opportunity Employer, NTT DATA values diversity and inclusion, making it a place where you can grow, belong, and thrive.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

We are looking for a talented AI & Automation Engineer with 0-2 years of experience to join our team in Mumbai on a full-time basis. As an AI & Automation Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI systems with a focus on Large Language Models (LLMs) and automation solutions driven by AI. Your role will involve working with Python, utilizing LLM frameworks like Ollama and Hugging Face, and applying your expertise in conversational agents and automation principles to solve complex challenges and drive innovation. Your key responsibilities will include: - Developing and optimizing LLM-powered applications for automation and natural language processing. - Crafting effective prompts to enhance LLM output quality for various applications. - Designing and implementing conversational agents like chatbots using LLMs. - Building end-to-end automation workflows using Python and AI/ML tools. - Collaborating with cross-functional teams to align AI solutions with business objectives. To be successful in this role, you must have proficiency in Python, a deep understanding of LLM architectures, hands-on experience with LLM frameworks like Ollama and Hugging Face, expertise in prompt engineering, and the ability to build conversational agents. Additionally, familiarity with cloud platforms such as AWS, GCP, or Azure is desirable. We are looking for candidates with educational qualifications in Computer Science, AI, Data Science, or related fields, along with hands-on experience in AI/ML development, specifically focusing on LLMs or NLP. A portfolio showcasing projects related to LLM applications, automation workflows, or conversational agents is highly recommended. In addition to technical skills, we value strong analytical and communication skills, the ability to convey technical concepts to non-technical stakeholders, and a curiosity to experiment with new tools and adapt to evolving technologies. If you meet the qualifications mentioned above and are excited about working in a collaborative and innovative environment, we encourage you to apply for this full-time, permanent position with us in Mumbai. Application Questions: - Are you proficient in Python - Do you have a deep understanding of LLM architectures, such as Transformer models - Have you used Hugging Face libraries or models like Transformers or Diffusers - Do you have expertise in prompt engineering and optimizing LLM interactions - Have you built conversational agents such as chatbots or dialogue systems - Have you worked with any cloud platforms like AWS, GCP, or Azure Work Location: In person,

Job Title: AI Ops Engineer Experience: 35 years About the Role We are seeking a hands-on and proactive AI Ops Engineer to operationalize and support the deployment of large language model (LLM) workflows, including agentic AI applications, across Marvell’s enterprise ecosystem. This role requires strong prompt engineering capabilities, the ability to triage AI pipeline issues, and a deep understanding of how LLM-based agents interact with tools, memory, and APIs. You will be expected to diagnose and remediate real-time problems, from prompt quality issues to model behavior anomalies. Key Responsibilities Design, fine-tune, and manage prompts for various LLM use cases tailored to Marvell’s enterprise operations. Operate, monitor, and troubleshoot agentic AI applications , including identifying whether issues stem from: Prompt quality or structure Model configuration or performance Tool usage, API failures, or memory/recall issues Build diagnostics and playbooks to triage LLM-driven failures , including handling fallback strategies, retries, or re-routing to human workflows. Collaborate with architects, ML engineers, and DevOps to optimize agent orchestration across platforms like LangGraph, CrewAI, AutoGen, or similar. Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, or Confluence using REST APIs, webhooks, and adapters. Implement observability and logging best practices for model outputs, latency, and agent performance metrics. Contribute to building self-healing mechanisms and alerting strategies for production-grade AI workflows. Required Qualifications 3–6 years of experience in software engineering, DevOps, or ML Ops with exposure to AI/LLM workflows. Strong foundation in prompt engineering and experience with LLMs like GPT, Claude, LLaMA, etc. Practical understanding of AIOps platforms or operational AI use cases (incident triage, log summarization, root cause analysis, etc.). Exposure to agentic AI architectures , such as LangGraph, AutoGen, CrewAI, etc. Familiarity with scripting (Python), RESTful APIs, and basic system debugging. Strong analytical skills and the ability to trace issues across multi-step pipelines and asynchronous agents. Good-To-Have Glean DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Role & responsibilities Preferred candidate profile

Fine-tune diffusion models to enhance image quality, resolution, and style adaptability. Optimize prompt engineering techniques to refine and control image generation outputs. Develop post-processing and ranking algorithms to improve the accuracy and aesthetics of generated images. Integrate diffusion models with other AI techniques, including GANs, transformers, and hypernetworks, to expand generative capabilities. Deploy AI models into production environments, ensuring scalability and efficiency. Utilize containerization tools (Docker, Kubernetes, etc.) to streamline AI model deployment. Collaborate with AI researchers and product teams to bring AI-powered image generation solutions into real-world applications. BTech/MTech/MS in Computer Science, AI, or a related field. 2+ years of experience working with Generative AI and Computer Vision. Strong expertise in diffusion models, generative AI, and image processing. Hands-on experience with model fine-tuning and optimization. Understanding of ControlNets, hypernetworks, and AI-based prompt engineering. Proven track record in AI model deployment and scalable pipelines. Experience working with production-grade AI workflows and cloud-based solutions. Strong debugging skills Ability to troubleshoot model failures and optimize performance. Team player mindset Comfortable working with cross-functional teams. Excellent communication & presentation skills Ability to explain research concepts clearly. Comfortable working in a high-performance, in-office environment. Takes ownership from Day 1, proactively solving challenges.

Responsibilities: Collect and analyze large datasets to identify trends and patterns. Use LLMs to identify trends in data and leverage intuition to find opportunities to improve the user experience in data-related features. Build POCs to demonstrate the feature opportunities identified during data analysis. Create and maintain dashboards and reports to communicate findings. Collaborate with cross-functional teams to understand their data needs and provide actionable insights. Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Develop and implement data collection systems and other strategies that optimize statistical efficiency and quality. Requirements: Bachelors degree in Computer Science, or a related field. Proven experience as a Data Analyst or similar role. Good exposure to prompt engineering and building POCs that are LLM-wrapped. Proficiency in data analysis tools and software such as SQL, R, Python, Excel, etc. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Excellent communication and presentation skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience in the voice analytics domain. Familiarity with machine learning and predictive modelling techniques.

As a Python Developer specializing in AI integration with OpenAI's APIs, you will be responsible for developing and maintaining applications that leverage cutting-edge technology to optimize interactions with large language models. Your role will involve collaborating with cross-functional teams to design and implement API-based AI solutions, lead projects integrating LLMs into existing system architectures, and establish best practices for working with AI APIs to ensure robust and scalable integrations. Key Responsibilities: - Develop and maintain applications using Python and OpenAI's APIs. - Master prompt engineering techniques to enhance interactions with large language models. - Customize and integrate AI functionalities using OpenAI's API across various software products. - Collaborate with cross-functional teams to design and implement API-based AI solutions. - Lead projects focused on integrating LLMs into existing system architectures. - Establish best practices for working with AI APIs and ensure robust integrations. - Conduct thorough testing and debugging of API integrations. - Stay updated on advancements in AI, particularly in LLMs and API technology. - Provide technical guidance and mentorship to team members on AI and API integration. Key Projects: - Implement chatbot solutions using GPT-based models. - Develop content generation tools leveraging OpenAI's API. - Integrate AI-driven analytics and insights into business applications. - Optimize existing applications for improved AI interaction and performance. - Fine-tune on-premise models/architectures using Llama-based models. Qualifications: - Strong proficiency in Python and experience with RESTful API integrations. - Proven track record of working with OpenAI's GPT models and API endpoints. - Deep understanding of prompt engineering and LLM functionalities. - Experience in developing AI-driven applications in a commercial context. - Excellent problem-solving skills with attention to detail. - Ability to thrive in a fast-paced, dynamic environment. - Strong project management skills with technical team leadership experience. - Experience with FastAPI is required. - Experience with Django or other MVC frameworks is a plus. - Knowledge of JavaScript is beneficial. This role offers an exciting opportunity to work at the forefront of AI technology integration, where you will contribute to the development of innovative solutions and shape the future of AI-driven applications.,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python as primary, with knowledge of JavaScript, SQL, and NodeJS being beneficial. You must have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and understanding of Generative AI models including LLMs. Expertise in designing and implementing efficient prompts for Generative AI is necessary, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers (Flask, Django, FastAPI) for scalable AI applications is required. You should also have previous experience in Generative AI application development, especially in designing prompts for LLMs. Knowledge of SQL and NoSQL databases like MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also a must. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications is also an advantage. You should hold a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. In addition to the required experience, skills in containerization technologies (Docker), AI/ML development, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, and API/ML are necessary for this role.,

Were Hiring | Python Developer – Generative AI Location: Pune/Hyderabad Experience: 4–5 Years Join Us at the Cutting Edge of AI Innovation! Are you passionate about building products powered by Generative AI and LLMs? Do you enjoy working with cutting-edge tools like OpenAI, LangChain, and vector databases to bring AI ideas to life? We’re looking for a Python Developer (GenAI) who is ready to innovate, collaborate, and help us scale real-world AI solutions from prototype to production. Key Responsibilities: • Build scalable Python applications leveraging LLMs, prompt engineering, and RAG pipelines • Develop REST APIs using FastAPI/Flask for GenAI applications • Collaborate across teams to deploy LLM-powered tools (chatbots, assistants, summarizers) • Work with frameworks like LangChain, Hugging Face, and vector DBs like Pinecone, FAISS • Write clean, modular code with performance optimization in mind Skills We’re Looking For: • 4–5 years in Python development • Proven experience building LLM-based applications • Familiarity with OpenAI, Anthropic, Hugging Face, LangChain • Strong knowledge of REST APIs, microservices, and prompt engineering • Exposure to Git, CI/CD workflows, and agile environments Nice-to-Have: • Cloud exposure (AWS, Azure, GCP) • Experience with Docker/Kubernetes • Understanding of RAG pipelines, semantic search, or fine-tuning models Interested or know someone who fits? Drop your resume or referrals in the comments or send us a message! Thanks Dan - Dan@therxcloud.com

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).

The internship trainee position at HCDS Technologies is a unique opportunity for 2nd and 3rd-year students to engage in a self-funded and self-budgeted internship program that focuses on digital transformation projects. The internship offers a hybrid and virtual work environment, allowing interns to apply their academic knowledge, work on diverse projects spanning various domains, and deploy Web3 and Blockchain technologies solutions. Interns will have the chance to receive an offer letter and project completion certificate for each project they successfully complete, along with an internship completion certificate upon reaching 99% project completion and testing. Active collaboration and competition during the internship can lead to winning cool swag, while a letter of recommendation will be provided for future recruitment opportunities. Furthermore, interns may receive sponsorship and scholarship support of up to INR 1,35,000 for premium enterprise resources and subscriptions. The program also offers mentorship, fellowship, and technopreneurship opportunities, providing exposure, expertise, and experience in a corporate setting. HCDS Technologies is a partnership firm based in Gurugram, Delhi NCR, specializing in digital transformation across various domains such as Web3 and Blockchain, People and Business Analytics, Cloud Innovation, and Functional Automation. The internship trainee role involves active participation in the company's digital transformation projects related to Web3, Blockchain, analytics, and automation, with the flexibility for remote work. Qualifications for the internship trainee position include knowledge of Web3, Blockchain, and Cloud Innovation, an interest in People and Business Analytics, basic understanding of AI, NLP, and Prompt Engineering, experience in Functional and Business Process Automation, strong research and analytical skills, excellent communication and interpersonal abilities, and the ability to work both independently and as part of a team. Candidates should be pursuing or have recently completed a degree in Computer Science, Engineering, or a related field and must be willing to invest 50% in enterprise resources and trainee project subscriptions. Additionally, candidates are required to have their own laptop with a headset for hybrid learning and innovation opportunities across diverse business verticals.,

Job Title: GenAI Developer Location: Noida Experience: 5-7 years (minimum 2 years in Generative AI/LLM-based projects) Job Summary: We are looking for a hands-on and seasoned Generative AI Developer with proven expertise in building and deploying applications powered by Large Language Models (LLMs), especially open-source models, and handling unstructured data. This role combines strong technical acumen with leadership capabilities to drive end-to-end GenAI initiatives from prototype to production. Key Responsibilities : Lead design, development, and deployment of GenAI applications utilizing opensource LLMs (e.g., LLaMA, Mistral, Falcon, etc.). Build robust pipelines to extract, clean, and preprocess unstructured data (text, PDFs, images, etc.) for training and inference. Integrate LLMs with business workflows via APIs, vector databases (e.g., FAISS, Milvus, Pinecone), and prompt engineering. Fine-tune and optimize open-source LLMs for specific use-cases, including domain adaptation. • Mentor junior developers and guide project execution with Agile methodology. Evaluate and implement open-source tools, libraries, and frameworks to support scalable and cost-efficient GenAI solutions. Collaborate with cross-functional teams. Ensure security, compliance, and responsible AI practices during development and deployment. Required Skills & Qualifications : Bachelors or Masters degree in Computer Science, AI/ML, or related field. Strong hands-on experience with open-source LLMs (e.g., HuggingFace Transformers, LangChain, Llama.cpp). Proven experience in prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuning. Proficient in handling unstructured data using tools like SpaCy, NLTK, OCR (Tesseract), or NLP libraries. Deep knowledge of Python and frameworks like PyTorch or TensorFlow. Experience with vector databases, embedding models, and knowledge graphs. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Excellent problem-solving skills. Good To Have : • Exposure to multimodal GenAI (text + image). Knowledge of data governance and AI ethics. Contributions to open-source GenAI projects or publications. Interested Candidates who have matching skill set and experience, can directly drop their resumes on 'Sonakshi.gupta@aptaracorp.com' .

Description Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, were shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Software Development Engineer II (AI) who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. The purpose for this role, would be to build agents for the platform, automating areas around support engineering and data engineering. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform team to help them successfully integrate the agent capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. What You Need 3+ years of experience in Software Engineering, with experience inbuilding APIs, who understand how APIs function, and can effectively develop applications. Familiarity with Prompt Engineering and working experience in fine tuning LLMs Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering. Hands-on with Vector Databases such as ChromaDB, FAISS etc. Experience in Reinforcement learning (RL), specially for autonomous agents. Working experience with Embedding models and RAG design. Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django) Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare. Preferred Skills Python - Building highly scalable and performant applications LLM - Deep experience in working and fine tuning LLM Models Re-inforcement Learning and MAS Vector Databases Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

We are hiring an AI/ML Lead with hands-on experience in LLMs, RAG pipelines, prompt engineering, model fine-tuning/quantization, and Agentic AI. Youll work on building production-grade AI systems, lead technical strategy, and collaborate with cross-functional teams to deliver intelligent solutions. Key Skills: LLM evaluation & deployment (GPT, LLaMA, Mistral, etc.) RAG pipeline design (LangChain, vector DBs) Prompt engineering & chaining Fine-tuning, LoRA, quantization (INT4/INT8) Agentic AI system development Python, Hugging Face, PyTorch intha jd

Job Title: Senior Engineer Python & LLMs Company: Xebia Experience Required: 6 to 10 Years Employment Type: Full-Time Work Mode: Hybrid (3 days/week in office) Locations: Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram Job Description: Xebia is hiring a Senior Engineer Python & LLMs to join our AI & Engineering team. We're looking for passionate individuals experienced in Python, Kubernetes, and LLMs to help us build scalable, intelligent applications. Key Responsibilities: Develop backend services using Python in cloud platforms (AWS, Azure, GCP) Deploy and manage applications using Kubernetes and Docker Integrate LLMs (OpenAI, Vertex AI, Hugging Face, etc.) into solutions Design and fine-tune prompts for GenAI applications Collaborate across teams to drive AI-driven feature delivery Must-Have Skills: Strong Python skills for API/backend development Hands-on with Kubernetes, Docker, and CI/CD Experience with cloud-native deployments (AWS/Azure/GCP) Proficiency with LLMs and prompt engineering Nice to Have: Vector databases (Pinecone, Weaviate, FAISS) MLOps pipelines and orchestration experience Understanding of cloud cost, security, and performance trade-offs Important: Only Immediate Joiners or Candidates with 15 Days Notice Period Will Be Considered Why Join Xebia? Work on real-world GenAI initiatives Be part of a globally respected engineering culture Enjoy continuous learning, certifications, and team collaboration To Apply: Send your CV to vijay.s@xebia.com with the subject line "Senior Engineer Python & LLMs" and include the following: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (Chennai / Bangalore / Hyderabad / Pune / Jaipur / Bhopal / Gurugram) Notice Period / Last Working Day (if serving) Only 15 days accepted Primary Skills LinkedIn Profile

Title/Designation: Machine Learning Engineer - NLP Relevant Experience: 3-6 years Key Skills: Python, NLP, LLM, Prompt Engineering, Statistical modeling, Information Retrieval, Search (Solr/ Elastic Search), Training & Data Analysis, Speech & Video recognition. Qualification: BS/MS/BE/ ME/ B-Tech/ M-Tech degree in Computer Science, IT, Statistics or equivalent with programming experience. Location: Baner, Pune. Must-have Requirements: 1. Python mastery & familiarity with GPU, Docker, Linux, deployment of Python apps. 2. Strong Python tech stack in machine learning in NumPy, sci-kit-learn, pandas. 3. Experience in implementation, training & deployment of ML (Classification, regression, clustering Algorithms) and DL (CNN, RNN, LSTM) models - trade-offs & evaluations. 4. Experience with web development frameworks in python either Django or Flask. 5. Build NLP models for query classification and entity recognition to improve relevance. 6. Expertise in Text mining (probabilistic topic models, word association, mining, ontology learning, semantic similarity. 7. Information Retrieval, Text Processing & NLP techniques 8. Experience with Apache Solr, Keras, Tensorflow, OpenCV 9. Experience in LLM, RAG, Vector database, semantic search, word/ paragraph/ document embedding, ranking, etc 10. Experience in search relevance/ ranking, search personalization, spell correction, entity recognition. 11. Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering. Knowledge Additional Competitive Skillsets: 1. Experience with Prompt Engineering 2. Strong Python tech stack in machine learning in distributed (PySpark ML, MLLib) 3. Experience in BERT, GPT, LLAMA, MPT, W2V, USE, TFIDF 4. Semantic knowledge Graph 5. Hadoop Ecosystem fluency (MapReduce, HBase, Kafka, etc.) 6. Proficiency in interactive visualizations Perks & Benefits: 1. You will work with the highly talented group of individuals based in Silicon Valley and Pune 2. Best in Industry Salaries 3. Work directly with on product and LEARN a lot 4. Flat organization structure with a start-up culture 5. Exposure to cutting edge technologies and the latest concepts 6. Weekly healthy snacks 7. Team outings & Sprint parties 8. Paid holidays

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting AI Enabled Automation Developer Staff -Python We are looking to hire people with strong AI Enabled Automation skills and who are interested in learning new technologies in the process automation space Azure . GenAI , large Lang Models(LLM). RAG ,Vector DB , Graph DB ,Python At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Requirements 2 to 3 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow(Good to have) 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English 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-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way thats right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Prompt Engineering Specialist, you will be responsible for the design, development, implementation, and maintenance of prompt systems within our software solutions. Your role is crucial in ensuring that our prompt-based systems are user-friendly, intuitive, and responsive, meeting the highest standards of quality and performance. Your responsibilities will include developing, refining, and optimizing prompts for various AI language model applications like text generation, translation, and question answering. Collaboration with engineers, scientists, and product managers is essential to understand user needs and create prompts that align with those requirements. Evaluating prompt performance, making necessary adjustments to enhance accuracy, informativeness, and engagement, and staying updated on the latest AI and NLP research advancements to improve prompt generation capabilities are key aspects of your role. Additionally, documenting and sharing research findings, methodologies, and technical specifications with team members and stakeholders is crucial. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. You must have at least 1 year of experience in AI language models and prompt engineering, along with strong programming skills in Python, proficiency in data structures and algorithms, and a solid understanding of NLP fundamentals such as tokenization, text classification, sequence tagging, and language modeling. Experience with NLP libraries and pre-trained models (e.g., NLTK, Transformers), familiarity with data preprocessing techniques and feature engineering, as well as a good grasp of AWS, Serverless, and Linux, are required. Excellent communication, interpersonal skills, the ability to work independently and collaboratively are essential for success in this role. This opportunity allows you to work on cutting-edge projects, leverage the latest research, and contribute to the development of innovative solutions. If you are passionate about natural language processing and eager to make a significant impact, we invite you to apply for this full-time position with paid time off, day shift schedule, and performance bonus. Location: Mohali, Punjab. Relocation or reliable commuting is required. Education: Bachelor's degree is required. Experience: Minimum of 1 year of relevant work experience is required.,

Key Skills: Data Science, Machine Learning, NLP, Generative AI, LLM, Transformer Networks, GANs, VAEs, Prompt Engineering, Model Development, MarkLogic (preferred), Cloud-native models, Model Deployment, Data Pipelines Roles & Responsibilities: Apply deep learning and generative modeling techniques to develop LLM solutions in AI, especially in the field of Natural Language Processing (NLP). Work with various LLM technologies and Transformer Encoder Networks to enhance NLP capabilities. Design and implement state-of-the-art generative models for tasks such as text generation, text completion, language translation, and document summarization. Utilize expertise in machine learning, focusing on generative models like GANs, VAEs, and transformer-based architectures. Develop and optimize model development, model serving, and training/re-training techniques in data-sparse environments. Apply prompt engineering techniques for developing instruction-based LLMs. Collaborate with SAs and cross-functional teams to identify business requirements and deliver solutions that meet customer needs. Stay updated with the latest advancements in generative AI and LLM technologies. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for model training and evaluation. Articulate model behavior analysis and hallucination effects to business stakeholders. Develop guardrails for LLMs, leveraging both open-source and cloud-native models. Collaborate with software engineers to deploy and optimize generative models in production environments. Mentor junior data scientists and contribute to the growth of the data science team. Experience Requirement: 4-10 years of experience working in Data Science, Machine Learning, and especially NLP technologies. Experience with LLM technologies and solid understanding of Transformer Encoder Networks. Proven experience with generative models, including GANs, VAEs, and transformer-based architectures. Familiarity with model development, training/re-training techniques, and deployment in data-sparse environments. Strong understanding of prompt engineering techniques for LLMs. Experience with data preprocessing and building data pipelines for generative models. Ability to explain model behaviors, hallucination effects, and behavioral analysis techniques to stakeholders. Experience with developing guardrails for LLMs using open-source or cloud-native models. Exposure to MarkLogic is a plus. Education: Any Graduation.

Data Scientist Digital Insights Commercial Excellence – GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisions—and we’re looking for someone who shares that belief. As a Data Scientist – Digital Insights, you’ll join a dynamic team that’s shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies. This opportunity empowers you to work with the latest trends in technology—from web traffic intelligence and data visualization to foundational applications of large language models (LLMs). You’ll play a key role in transforming digital signals into actionable insights that influence business outcomes. We’re proud to be recognized by Great Place to Work® India as one of the country’s top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will: Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI, and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 1–3 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelor’s or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment.

Job Summary: We are seeking a Linguist with relevant experience in LLM/GenAI-based solutions who has worked professionally with English and at least one foreign language (e.g., French, Spanish, German, Polish, etc.). You will evaluate and debug AI-generated translations, identify language-specific issues, and develop prompts and linguistic strategies to improve AI performance in child-focused experiences. Key Responsibilities: Analyse AI-translated content between English and various foreign languages to identify syntactic, semantic, grammatical, or contextual errors. Diagnose the root causes of translation failures (e.g., word order differences, idiomatic mismatches, subject-verb agreement, ambiguity). Break down complex linguistic challenges and provide actionable insights to improve AI model performance. Optimise prompts, inputs, and data pipelines for better multilingual outcomes. Work closely with language experts (native or fluent speakers) to validate findings and implement fixes. Contribute to the development of language guidelines, test sets, and evaluation frameworks. Document translation performance issues and propose prompt-level or model-level fixes. Participate in or lead projects aimed at improving multilingual LLM behaviour, especially for content targeting young users. Required Qualifications and Experience: Ph.D. or Masters degree in Linguistics. Strong command of English linguistics, including grammar, syntax, semantics, and discourse analysis. Proven experience working with or analysing English + at least one foreign language (e.g., French, Spanish, Polish, etc.) in translation, NLP, or linguistic research contexts. Hands-on experience in AI/LLM evaluation, GenAI tools, or prompt engineering.

Job Title: AI Prompt Engineer Internship Company: Pranathi Software Services Pvt Ltd Location: Hyderabad, Telangana Employment Type: Internship (Full-time / Part-time) Duration: 3 Months Start Date: Immediate / As per availability About the Role: We are looking for enthusiastic and detail-oriented AI Prompt Engineering Interns with a strong foundation in AI concepts and excellent English communication skills. As an intern, you will work closely with our AI and product teams to develop, test, and refine prompts that optimize the performance of large language models (LLMs) like ChatGPT, GPT-4, and similar tools. This internship offers hands-on experience in one of the most in-demand AI roles in the industry. Requirements: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, English, or related fields. Basic understanding of AI/ML concepts, large language models (LLMs), and natural language processing (NLP). Excellent command of written and spoken English. Strong analytical thinking, creativity, and attention to detail. Ability to work independently as well as part of a collaborative team. Interested can share your resume at giribabu@pranathiss.com

About the Role: We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team. In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain. You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes. Key Responsibilities : - Develop and refine LLMs tailored for specific healthcare applications (e.g. , medical diagnosis, drug discovery, patient care). - Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training. - Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques. - Fine-tune pre-trained LLMs on specific healthcare tasks and datasets. - Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning. - Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks. - Conduct thorough model validation and testing to ensure accuracy, reliability, and safety. - Monitor model performance in production and identify areas for improvement. - Stay abreast of the latest advancements in LLM research and development. - Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning. - Conduct research and development on novel applications of LLMs in the healthcare domain. - Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders. - Clearly communicate complex technical concepts to both technical and non-technical audiences. - Present research findings and project updates to team members and stakeholders. Qualifications : Essential : - Master's or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning. - Proven experience in building and fine-tuning large language models. - Strong proficiency in Python and experience with deep learning frameworks (e.g. , TensorFlow, PyTorch). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills

Read the description below and use the Google Form link at the bottom of the page to submit your application. TNQ is looking for Prompt Engineers to work with large language models (LLMs). Their role will be to help them craft effective prompts that guide the AI to produce useful, accurate, and clear outputs. Candidate should have: Educational Qualification: Any UG/PG with Science background - Year of graduation 2025 ONLY Excellent written English (grammar, clarity, tone, flow) Ability to explain or rewrite content clearly Analytical thinking to troubleshoot and optimize prompts Interest in AI tools and how they respond to language Responsibilities: Design and refine prompts for a variety of content generation and analysis tasks Collaborate with technical and non-technical teams to understand task requirements Evaluate outputs from LLMs and recommend prompt improvements Assist in documenting prompt formats, examples, and best practices Stay current with trends and updates in generative AI capabilities Click this link to apply: https://forms.gle/GSpnomZEQQcatif58