345 Prompt Engineering Jobs - Page 11

As Lead ML Engineer , you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. As Lead ML Engineer, you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. Responsibilities: Build and deploy models for forecasting and optimization Perform time-series analysis, classification, and regression Monitor model performance and integrate feedback loops Use AWS SageMaker, MLflow, and explainability tools (e.g., SHAP or LIME)

We are seeking a passionate and driven Generative AI Engineer to design, develop, and deploy innovative AI applications using Large Language Models (LLMs). The ideal candidate will have hands-on experience with prompt engineering, Python programming, and foundational knowledge of AI orchestration frameworks like LangChain and LangGraph. Experience with the Model Context Protocol (MCP) is a significant advantage. You will work closely with senior AI engineers and cross-functional teams to bring cutting-edge generative AI solutions to life Role & responsibilities Generative AI Application Development: Design, build, and deploy AI applications leveraging LLMs for various use cases such as RAG (Retrieval-Augmented Generation) based chatbots, intelligent agents, content generation, and more. Prompt Engineering: Develop, test, and optimize advanced prompt engineering techniques (e.g., few-shot, Chain-of-Thought, ReAct) to enhance LLM performance, accuracy, and user experience. LLM Orchestration with LangChain & LangGraph: Utilize LangChain and LangGraph to build robust, stateful, and multi-agent AI systems, managing complex conversational flows and integrating external tools and data sources. Python Development: Write clean, efficient, and well-documented Python code for AI model integration, data preprocessing, API development, and general application logic. Model Context Protocol (MCP): Implement and leverage MCP for seamless interaction between LLMs and external systems, ensuring efficient context management and secure communication (if applicable to project needs). Model Evaluation & Testing: Assist in evaluating the performance of generative AI models, defining relevant metrics, and conducting rigorous testing to ensure reliability and effectiveness. Collaboration: Work collaboratively with data scientists, machine learning engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Research & Innovation: Stay updated with the latest advancements in generative AI, LLMs, and related frameworks, and actively experiment with new approaches to improve existing solutions. Deployment & MLOps (Basic): Contribute to the deployment of AI models and understand basic MLOps practices for model versioning, monitoring, and continuous improvement. . Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related quantitative field. 1-3 years of hands-on experience in machine learning, software development, or data science, with exposure to AI/ML projects. Strong proficiency in Python programming and familiarity with relevant libraries (e.g., NumPy, Pandas). Proven experience with LangChain for building LLM-powered applications and chaining together various components. Familiarity with LangGraph for orchestrating complex, stateful multi-agent workflows. Hands-on experience with prompt engineering and optimizing prompts for LLMs. Understanding of Large Language Models (LLMs) and their underlying concepts. Experience or strong understanding of Model Context Protocol (MCP) for connecting LLMs with external tools and data sources. Excellent problem-solving skills and a proactive approach to challenges. Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.) Preferred Skills : Experience with cloud platforms (Azure, AWS, GCP) for deploying AI/ML solutions. Microsoft Certified: Azure AI Engineer Associate (AI-102) or similar AI/ML certification. Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS). Experience with deep learning frameworks such as TensorFlow or PyTorch. Knowledge of Natural Language Processing (NLP) techniques beyond LLMs. Experience in building conversational AI systems or chatbots

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities Strong understanding of machine learning principles Familiarity with deep learning concepts and frameworks Development, training, deployment and fine tuning of large language models Azure Open AI, Prompt Engineering, LangGraph Agentic Interested share your details to uthirakumar.k@tekskills.in Full Name as Per Pan Card : Email id - Contact number: Alternative Number and Mail ID : Total Exp in IT industry: Relevant experience (Particular skill as per JD): Current CTC ( fixed and variable) : Expected CTC (in INR): Official Notice Period: If Serving Notice Period When is your LWD: Any offers in hand?: (Y/N): Do you have any career Gap?: Current Location: Preferred Location: Reason for job change:

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Wexa AI is looking for Implementation Engineer Interns to help onboard clients and deploy AI co worker tools. A great opportunity to work in real client environments and gain product knowledge. RESPONSIBILITIES AND DUTIES Assist in AI coworker setup and configuration for new clients Work closely with Sales & Product teams to understand client needs Provide technical support during onboarding Document and optimize implementation workflows QUALIFICATIONS REQUIREMENTS Final-year student or recent graduate in Engineering/Tech Basic understanding of APIs, SaaS platforms, or automation tools Strong problem-solving and documentation skills Interest in AI/ML and SaaS product environments

About the job: Key responsibilities: 1. AI Model Development & Integration: Design, implement, and optimize generative AI solutions using various LLMs and foundation models, making strategic decisions on model selection based on use case requirements 2. Advanced Prompt Engineering: Craft sophisticated system prompts and implement complex prompting techniques for optimal model performance across different domains and applications 3. Production AI Applications: Build scalable, production-ready AI applications using LangChain, LangGraph, and Mem0 frameworks with proper error handling and performance optimization 4. Complex Context Management: Develop and maintain advanced conversation flows with persistent context across multi-turn interactions, implementing memory systems and session management 5. Infrastructure & Orchestration: Deploy AI applications using Docker containerization and orchestration platforms, ensuring scalability and reliability in production environments 6. AI Safety & Guardrails: Implement comprehensive guardrails including content filtering, bias detection, response validation, and safety measures for responsible AI deployment 7. System Architecture: Design and implement robust AI system architectures, including API development, database integration, and microservices patterns 8. Performance Optimization: Monitor, debug, and optimize AI system performance, latency, cost efficiency, and resource utilization 9. Model Fine-tuning & Customization: Work on model adaptation, fine-tuning, and customization techniques to meet specific business requirements Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,50,000 - 3,00,000 /year Experience: 1 year(s) Deadline: 2025-07-16 23:59:59 Skills required: Python, Docker, Database Management System (DBMS), APIs, Generative AI Development, LangChain, Prompt Engineering and Memcached Other Requirements: Technical Skills: 1. Advanced Python: Solid foundation in Python. 2. Multi-Model Expertise: Deep hands-on experience with various LLMs (GPT-4, Claude, Llama, Gemini, Mistral) and comprehensive understanding of their capabilities, limitations, and optimal use cases 3. Framework Mastery: Proven experience building production applications with LangChain, LangGraph, and Mem0 frameworks 4. Advanced Prompt Engineering: Expert-level ability to write, optimize, and debug complex system prompts and conversation flows 5. Docker & Orchestration: Strong containerization skills with experience in Docker, or similar orchestration platforms. 6. Production AI Systems: Experience deploying and maintaining AI applications in production environments Professional Experience: 1. GenAI Development: Hands-on experience in generative AI application development 2. Context Management: Proven track record of implementing complex conversation flows and memory systems 3. Guardrails Implementation: Experience implementing AI safety measures, content filtering, and bias detection systems 4. System Architecture: Experience designing scalable AI system architectures and microservices Project Portfolio: 1. Demonstrable GenAI projects with real-world applications 2. Experience with model fine-tuning, RAG systems, or AI agent development 3. Open source contributions or published work in AI/ML domain 4. Production deployments of AI applications with measurable impact About Company: At HD, we're a diverse team of passionate experts offering comprehensive digital solutions. Our commitment to authenticity, innovation, and user-friendliness ensures success in web development, AI/ML, data analytics, backend, and database management. Through collaboration and transparency, we transform visions into exceptional digital realities, empowering clients to succeed. Explore our talented team, insightful blog, and impressive portfolio, and start your exceptional digital journey with us today.

About the job: Key responsibilities: 1. Build AI-driven tools and products using APIs (OpenAI, Gemini, etc.) 2. Design and fine-tune prompts for various use cases 3. Integrate vector databases (Pinecone, ChromaDB) for retrieval-augmented generation (RAG) 4. Collaborate with designers, content teams, and founders to turn ideas into polished tools Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 0 year(s) Deadline: 2025-07-14 23:59:59 Skills required: Backend development, Artificial intelligence, APIs, Prompt Engineering, ChatGPT, Claude and Gemini Other Requirements: 1. Degree Btech - AI/Ml, others ( who has done AI/ML projects) 2. Strong understanding of LLM APIs (OpenAI, Claude, Gemini, etc.) 3. REST API integration and deployment knowledge 4. GitHub portfolio with working AI tools or integrations About Company: Stirring Minds is a premier startup ecosystem in India, dedicated to helping businesses launch, scale, and succeed. As a leading incubator, we provide funding, co-working spaces, and mentorship to support the growth of innovative companies. In addition to our incubator services, we also host the largest startup event in the country known as Startup Summit Live, bringing together entrepreneurs and industry leaders to connect, learn, and collaborate. Our community-driven approach extends beyond our event and incubator offerings, as we work to create communities of like-minded individuals who can support and learn from one another. We have been recognized by top media outlets both in India and internationally, including the BBC, The Guardian, Entrepreneur, and Business Insider. Our goal is to provide a comprehensive ecosystem for startups and help turn their ideas into reality.

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GenAI + Full-Stack Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). 3-8 years of strong hands-on experience in software development, with a focus on AI/ML and Generative AI Hands-on with Generative AI technologies with at least one of the following experiences: Working with Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc. Building intelligent systems using LangGraph, Agentic AI frameworks, or similar orchestration tools Implementing Retrieval-Augmented Generation (RAG), prompt engineering, and knowledge augmentation techniques Proficiency in Python, including experience with data processing, API integration, and automation scripting Demonstrated experience in end-to-end SDLC (Software Development Life Cycle): requirement gathering, design, development, testing, deployment, and support Proficient in CI/CD pipelines and version control systems like Git Experience with containerization technologies such as Docker, and orchestration using Kubernetes Strong problem-solving and debugging skills, with an ability to write clean, efficient, and maintainable code Excellent verbal and written communication skills, with the ability to collaborate effectively across technical and business teams About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Key Responsibilities: Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division. Required Competencies: Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude). Programming Languages: Proficiency in Python, Java, or other relevant programming languages. Data Analysis: Strong analytical skills and experience with data analysis tools. Problem-Solving: Excellent problem-solving abilities and attention to detail. Communication: Strong verbal and written communication skills. Preferred Competencies: Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. Master s or Ph.D. in Computer Science, Data Science, or a related field. Years of experience: 3-5

About the job: As a Full Stack GenAI Developer at MeetMinutes, you will be responsible for creating cutting-edge AI solutions using Python, Generative AI Development, LangChain, LLM evaluation, LLMOps, JavaScript, React, Amazon Web Services (AWS), Google Cloud Platforms (GCP), Docker, Machine Learning, Natural Language Processing (NLP), PostgreSQL, REST API, FastAPI, GitHub, System Design, and Prompt Engineering. Key responsibilities: 1. Developing and implementing AI algorithms and models to enhance the functionality of our platform. 2. Integrating AI technologies and features into our existing systems to improve user experience. 3. Collaborating with the engineering team to optimize system performance and scalability. 4. Building and maintaining RESTful APIs for seamless communication between different components. 5. Monitoring and troubleshooting any issues related to AI functionality and recommending solutions. 6. Contributing to the overall architecture and design of our AI-driven products. 7. Staying updated on the latest trends and advancements in AI and actively participating in knowledge sharing within the team. If you are passionate about using AI to revolutionize meeting productivity and collaboration, and have a strong background in full-stack development and AI technologies, we'd love to have you join our team! Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 6,50,000 /year Experience: 1 year(s) Deadline: 2025-07-13 23:59:59 Other perks: 5 days a week Skills required: JavaScript, Python, Machine Learning, PostgreSQL, Docker, GitHub, React, REST API, Amazon Web Services (AWS), Natural Language Processing (NLP), Google Cloud Platforms (GCP), FastAPI, Generative AI Development, LangChain, Prompt Engineering, System Design, LLMOps and LLM evaluation About Company: A platform for the future of AI meeting productivity. It is a tool for professionals having conversations in mixed Indian languages and need workflow automations. It has support for Google Meet, MS Teams, and many more meeting platforms. It is a startup recognized by the Ministry of IT and won several accolades working with businesses, IT firms, agencies, listed companies, and SMBs.

As the Engineering manager, you will be managing the roadmap priorities for AI/MLSolution andwill bepoint of contactfor all technical issues and decisions, while managing stakeholders and partners across the organization. Provide technical leadership manage a high-performing engineering team to build and scale our next generationAI Solutions. Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of allfacetsof AI Products Design, Build,optimize, fine-tune Generative AI/LLM models/AI Solutions that can be integrated withnumerousapplications, support thousands of tenants, andoperateat scale in production to support variousPaypalAI Personalization initiatives Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform. Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Collaborate with cross-functional teams including product managers, data scientists, and software engineers and stakeholders to define platform requirements and priorities. Develop and evolve engineering processes and collaboration models tooptimizeteam efficiency and collaboration Mentor team members,providetechnical guidance, and foster a culture of collaboration, innovation, and continuous learning. Stay up to date with the latest advancements in AI/ML technology and industry trends andleveragethis knowledge to enhance the platforms capabilities What Do You NeedtoBring Qualifications Proven experience in leading or managing machine learning/AI teams, witha track recordof building successful AI solutions and productizing ML Models, Features Stores Solidtrack recordof over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products. Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience. Experience developing Gen AI applications/services usingPrompt Engineering, LLMs, and fine-tuning methodsfor sophisticated business use caseswithlarge amountsof unstructured data. Strong background in deep learning techniques, particularly in NLP and Vision Proficiencyin multiple Programming/scripting languages,i.e.Python, Java, Scala,SQL, NoSQL (like HBase, Redis, Aerospike) Strongproficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expertisein buildingMLpipelines with Big Data technologies such as Hadoop, Spark, HBase, Kafka. Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Strong background in MLOps and experimentation frameworks Extensive experience with concurrent, parallel, and distributed computing, including performance tuning and optimization for large-scale applications

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Job Title: Gen AI Integration Developer Key Responsibilities As a Gen AI Integration Developer, you will: Gen AI Orchestration & Integration: Implement and integrate Generative AI solutions. This includes extensive experience in data analytics or a senior developer role with a modern technology stack. LLM Integration: Gain hands-on exposure to integrating at least one popular Large Language Model (LLM) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, or Cohere, using API endpoints. Prompt Engineering & Agents: Apply a thorough understanding of prompt engineering principles and implement LLM agents like LangChain. Vector Databases: Work with vector databases such as Pinecone, Chroma, or FAISS. API Development: Build API-based scalable solutions and possess strong debugging and troubleshooting skills for software and design issues. Data Engineering: Perform basic data engineering tasks, including loading structured and unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support AI Solutions. Experimentation & Analysis: Quickly conduct experiments and analyze the features and capabilities of newer versions of LLM models as they become available. Collaboration: Work closely with Gen AI leads and other team members to address requirements from the product backlog. Mandatory Skills & Experience Technical Proficiency: Programming Languages: Excellent programming skills and proficiency in at least one major programming/scripting language used in Gen AI orchestration, such as Python, PySpark, or Java . LLM Integration: Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints. Prompt Engineering: Thorough understanding of prompt engineering . LLM Agents: Implementation exposure to LLM agents like LangChain . Vector Databases: Experience with vector databases such as Pinecone, Chroma, or FAISS. API Development: Ability to build API-based scalable solutions . Debugging & Troubleshooting: Strong ability to debug and troubleshoot software or design issues. Basic Data Engineering: Skills to load structured & unstructured data from source systems to target data stores. Experience & Qualifications: Extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks. Ability to quickly conduct experiments and analyze new LLM features. Experience in building and maintaining data pipelines and infrastructure for AI solutions. Essential Professional Skills Desirable: Hands-on exposure to using cloud services (Azure/GCP/AWS) for storage, serverless-logic, search, transcription, and chat. Extensive experience with data engineering and ETL tools is a big plus. Master's/Bachelor's degree in Computer Science, Statistics, or Mathematics.

Design, develop, and maintain Conversational AI models including Chat BOTs. Develop robust unit and integration tests using testing frameworks/ manual to guarantee code quality and application stability. Expertly debug and troubleshoot complex application issues. Integrate Gen AI capabilities to enhance the product efficiency and effectiveness. Proven experience building Conversational AI models / Chat BOTs using Kore.ai platform. In depth understanding of Gen AI capabilities Proficiency in unit testing frameworks. Experience in Data Analytics and Python Exceptional problem solving and debugging skills. Excellent communication and collaboration skills. Experience in Agile Scrum practice. Experience in JIRA and Confluence Ability to work independently and manage multiple tasks effectively while contributing to a team environment.

We are seeking a talented Java backend Software Engineer with expertise in software engineering to join our team. As a Full Stack Software Engineer, your primary responsibility will be to develop & integrate Generative AI solutions that focus on technology improvements. Specifically, you will be working on projects involving Generative AI solutions for Technology Assistants & Data Management Efficiencies and will contribute for Java backend development such as IDE plugins Data Connections & Integrators. Responsibilities : - Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI. - Write clean, high-performance, high-quality, maintainable code. - Create connectors to various Content and Collaboration tools using tool specific API's such as Jira, Slack, Git etc - Create backend applications using Java, docker & in-house frameworks to orchestrate AI applications - Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. - Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. - Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications. Requirements: - A Master's or Ph.D. degree in Computer Science or a related field. - Proven experience working as a Software Engineer, with a focus on Java, and exposure to Generative AI Applications such as chatGPT. - Strong proficiency in programming languages such as Java, Kotlin, Scala etc ( Mandatory) - Experience or Exposure in creating IDE Plugins for PyCharm, VS Code, IntelliJ & Web Consoles ( Nice to have ) - Experience in python and data pipelines ( nice to have) - Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. - Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have ) - Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders. - Proven ability to adapt and learn new technologies and frameworks quickly. - A proactive mindset with a passion for continuous learning and research. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Position Overview We are hiring five AI Engineers with 12 years of experience to join our dynamic team in Hyderabad. The ideal candidates will have a solid foundation in Large Language Models (LLMs) , LangChain , and Generative AI (GenAI) frameworks. This is a great opportunity to work on innovative AI solutions, contributing to projects that integrate LLMs , prompt engineering , RAG pipelines , and cloud-based deployments . Key Responsibilities Contribute to the design and development of AI-powered applications utilizing LLMs (GPT-3.5, GPT-4, Gemini). Assist in building LangChain-based pipelines and workflows, including LangSmith and LangGraph . Support the implementation of Retrieval-Augmented Generation (RAG) frameworks using vector databases such as ChromaDB . Apply prompt engineering techniques to optimize model responses and improve contextual accuracy. Develop RESTful APIs using Flask or FastAPI to enable model consumption in production environments. Write and manage data workflows using SQL , PySpark , and Spark SQL . Deploy and monitor models on Azure Machine Learning or AWS Bedrock platforms. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Required Skills Proficiency in Python , SQL , PySpark , and Spark SQL Hands-on experience with LLMs : GPT-3.5, GPT-4, Gemini Knowledge of LangChain , LangSmith , LangGraph Familiarity with Vector Databases (e.g., ChromaDB) and embeddings Experience with prompt engineering and RAG-based architectures Exposure to cloud platforms such as Azure ML or AWS Bedrock Strong understanding of REST APIs and version control systems (Git/GitHub) Preferred Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field Internship or academic project experience in NLP, LLMs, or GenAI technologies Familiarity with MLOps tools and practices (e.g., CI/CD, Airflow) Strong problem-solving abilities, attention to detail, and a collaborative mindset

Technical Skills & Experience: Programming Skills: Proficiency in Python, capable of developing AI-driven test scripts. Test Automation: Solid experience in test automation practices. Model Evaluation: Hands-on experience evaluating and testing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and computer vision models. Evaluation Frameworks: Skilled in designing evaluation frameworks to assess AI model performance, accuracy, bias, and safety. Familiarity with open-source evaluation tools such as DeepEval and similar frameworks. Prompt Engineering & Metrics: Knowledge of prompt engineering and LLM evaluation metrics like perplexity, BLEU, ROUGE, and human evaluation techniques. RAG System Testing: Experience in testing RAG systems, including retrieval quality assessment and hallucination detection. Computer Vision Testing: Familiarity with vision model testing methodologies and image processing evaluation. CI/CD Integration: Working knowledge of Continuous Integration/Continuous Deployment (CI/CD) tools like GitLab, Jenkins, or Azure DevOps. Preferred Qualifications Evaluation Framework Proficiency: Hands-on experience with at least one open-source AI evaluation framework, such as DeepEval, is essential. Vector Databases & Embedding Evaluation: Familiarity with vector databases like FAISS or Milvus, and experience in evaluating embedding models for tasks such as similarity search and retrieval. Multimodal AI Systems: Understanding of AI systems that process multiple data modalities (e.g., text, images) and the unique challenges involved in their evaluation. Human-in-the-Loop Evaluation: Experience incorporating human feedback into AI evaluation processes to enhance model performance and reliability Perks and benefits Best of Technology Flexible Working Hours Rewards and Recognition Medical Insurance Round the Clock Snacks Paid Time-Off and Vacation

Key Responsibilities: As an Infra AI Automation Programmer you will work on design development and deployment of AI systems that generate content or data often using techniques such as deep learning neural networks and generative models using Python backend coding Meet with clients in and remotely to understand their business objectives challenges and identify potential use cases for Generative AI Assess the client s existing technology infrastructure data landscape and AI maturity to determine the feasibility and best approaches for Gen AI adoption Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions e g content creation customer service product development marketing Gen AI Strategy and Solution Design Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases implementation plans and expected business outcomes Design Gen AI solutions architecture considering factors such as model selection e g large language models LLMs diffusion models data requirements integration with existing systems and scalability Evaluate and recommend appropriate Gen AI platforms tools and APIs e g OpenAI Google AI Azure AI open source libraries relevant to the client s needs and the Indian market Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications Technical Requirements: At least 2 years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow Pytorch Langchain and Prompt Engineering Experience with vector databases and retrieval augmented generation RAG Familiarity with MLOps principles and tools for deploying and managing Gen AI models Understanding of ethical considerations and responsible AI frameworks Understanding of data structures data modelling SQL NOSQL Object oriented and functional programming GIT Knowledge of basic algorithms and object oriented and functional design principles Deep Knowledge of Mathematics Probability Statistics and Algorithms Good Communication skills Good analytical and problem solving skills Additional Responsibilities: Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile These include High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Preferred Skills: Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow,Technology->Machine Learning->Generative AI

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

AI Engineer & Lead This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful. Exp: 3-8 Years Location: Chennai & Hyderabad Organization: Intellect Design Arena - Product Company ------------------------------------------------------------------------------------------------------------- About Intellect Design Arena Limited Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellects revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge. With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. Summary: As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation. You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI. Key Responsibilities: Deliver Production-Ready AI Solutions: Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications. Solve Real Business Problems: Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches. Collaborate Across Teams: Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution. Adapt in Dynamic Environments: Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback. Drive Innovation and Growth: Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field. Client Interaction and Strategy Development: Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions. Deploying Solutions to Production: Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems. Iterating and Improving: Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation. Contributing to Platform Evolution: Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs. Key Traits: Technical Proficiency: Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments. Problem-Solver: Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes Collaborative: Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms. Adaptable: Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback. Innovative and Entrepreneurial: Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth. Client-Focused: Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives. Detail-Oriented: Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings. Continuous Learner: Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge. Skills and Qualifications: Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies. Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition. Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning. Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar. Interested folks can reach out to bicky.nath@intellectdesign.com

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.