7846 Artificial Intelligence Jobs - Page 29

Location: Remote Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Experience: 4 Years Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Seeking a Senior AI Engineer with strong expertise in machine learning, deep learning, and model deployment to design and implement scalable AI solutions for complex business problems.

So, what’s the role all about? We are looking for an experienced Architect with a strong background in AI/ML model integration , cloud-native development using AWS Bedrock , and proficiency in .NET and Python . The ideal candidate will play a key role in designing and architecting next-generation AI-powered applications and solutions that deliver business value at scale. How will you make an impact? Design and implement scalable AI solutions leveraging AWS Bedrock , including integration of foundation models from Amazon and third-party providers. Architect and lead the development of cloud-native applications using .NET Core and Python . Collaborate with cross-functional teams including Data Science, Product, and DevOps to define technical solutions. Evaluate and fine-tune AI models (e.g., text generation, summarization, classification) and optimize inference pipelines. Define best practices for model deployment, scalability, security, and monitoring in production. Drive innovation and rapid prototyping of generative AI and RAG (Retrieval-Augmented Generation) use cases. Provide architectural oversight and mentorship to engineering teams, ensuring delivery of robust, high-performance solutions. Have you got what it takes? Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 10+ years of experience in software architecture and development. Proven expertise in AWS services , specifically AWS Bedrock , Lambda, SageMaker, and related AI/ML offerings. Strong programming skills in Python and .NET Core (C#) . Experience with AI/ML models including LLMs, embeddings, and prompt engineering. Familiarity with Vector Databases and semantic search frameworks (e.g., Pinecone, FAISS, OpenSearch). Deep understanding of RESTful APIs, microservices, and cloud architecture patterns. Strong communication and leadership skills; ability to translate business needs into technical solutions. You will have an advantage if you also have: Experience with LangChain , RAG architectures , or custom Bedrock Agents . Exposure to frontend technologies (React, Angular) is a plus. Experience working in Agile/Scrum teams and DevOps environments. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8056 Reporting into: Tech Manager Role Type: Individual contributor

Experience in data science, machine learning, and AI model training. Strong skills in Python, TensorFlow, Hugging Face Transformers, and Google Vertex AI. Prior experience in RCM, healthcare data, or insurance analytics is a strong plus.

Seeking 4yr experienced AI Prompt Engineer to design, develop, test & refine prompts for LLMs & generative AI systems.This role blends problem-solving with technical expertise to optimize AI outputs & improve performance across range of applications.

10 -12 years of hands-on software development experience, Managing or closely collaborating with AI/ML engineers or data science teams Strong backend engineering (e.g., PHP Laravel, Vue.js, Node.js, Python) and cloud architecture (GCP).

Returnship- Hiring Data science professionals Experience: 3 Years - 8 Years Location: Pan India JD: Data science- ML, Text analytics, Regression, Data classification and prediction, API’s Software’s:- python , power BI, sql, tableau. Platforms: H2O, Data robot Analytics code Deployment using Azure, AWS, on prem methods etc.

As an Assistant Vice President in the IT_Industries4.0_Digital TwinsBIM + IoT OPS_Coe department, you will be responsible for leading and managing the implementation of BIM (3D, 4D & 5D), Autodesk Revit, stormwater systems, clash detection, Navisworks, IoT, AI/ML, and CostX technologies. You will be expected to demonstrate a high level of business and commercial acumen, a global mindset, entrepreneurship, and people excellence. You will also need to have a strong focus on critical thinking, product and service management, IT application, and information security.

58 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Responsibilities: * Develop data pipelines using PySpark and SQL. * Collaborate with cross-functional teams on ML projects. * Optimize database performance through data modeling and visualization.

We are looking for a Patent Search Senior Analyst /Patent Search Lead for our Service Operations team to join our IP Search Team in Noida. This is an excellent opportunity to work with Fortune 100 clients, supporting them through various phases of IP lifecycle management. The selected team member will engage in several projects, including Prior Art Searching (Patentability, Validity, Invalidity), Evidence of Use, and Freedom to Operate searches, specifically within the wireless communication domain or mechanical engineering domain. About You experience, education, skills, and accomplishments Work experience: Minimum 2 years of experience in IP Patent Search Bachelors degree/masters degree/PhD in Wireless/Telecommunication domain / Computer Science/VLSI Preferred if able to perform Patentability, State of Art, EOU, Freedom to operate, and Invalidity searches Knowledge of Intellectual Property (IP) fundamentals and US Patent laws Proficiency in MS Excel, MS Word, MS PowerPoint, and other tools that may be required for day-to-day work Capable of working on individual projects as well as in a team environment Self-starter, meticulous with strong analytical and problem-solving skills It would be great if you also had . . . PhD in Electronics and communication or any related field Standard essentiality analysis expertise Knowledge in AI/ML/SEP/Audio Video Codec Knowledge in IC Engines, Automobiles, and HVAC & Refrigeration IP and/or telecom related certifications Knowledge of CN and EP patent laws What will you be doing in this role? Preparing reports by performing various patent searches and technical analyses to support clients End-to-end ownership of work products and effective project communication with relevant stakeholders Adhering to internal and external project time schedules Updating technical skills proactively in upcoming technologies being widely used across the industry Adherence to organizational policies Quality Assurance - Adherence and compliance to set quality standards ensuring customer requirements are met in full About the Team The team of 200+ colleagues all reporting to the Senior Manager and Director primarily working on search projects on several technologies. This team helps customers based out of the US, India, and UK. . Hours of Work This is a full-time role requiring 40 working hours per week based out of Noida, India (IST). Work Mode-Hybrid

Clarivate offers proprietary market access data sets aggregated to provide a comprehensive view of todays healthcare ecosystem and offer invaluable insights from pre-launch through product maturity. We are looking for a Sr. Product Manager , reporting into the VP of Product Management for our Bangalore office. Across the Healthcare and Data Solutions organizationour focus remains on driving growthby product enhancements. About You education, experience, skills, and accomplishments Minimum bachelors degree in computer science, Statistics, Technology, or Engineering, or equivalent work experience, preferably with a data science background. Atleast 5 years in total working as a product manager, in the pharmaceutical analytics industry. A strong technical background coupled with an understanding of how data is leveraged to drive business outcomes in the pharmaceutical industry. Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques. Experience using JIRA and Confluence Ability to think and articulate clearly, concisely, and accurately for writing requirements. Excellent presentation and communication skills. Highly self-motivated, confident to work on projects alone as well as leading a team An enthusiastic approach to extending knowledge and learning new skills Strong commitment to quality of work and good attention to detail What you will be doing in this role Project management to shape the product strategy and delivering roadmap for Disease Intelligence & Analytics products. Utilize Real World Data (Claims, EHR, Pharmacy data etc.) for new products as well as enhancing existing products. Communicate the project requirements to key stakeholders. Bring teams together to define and implement product features and translate them into requirements. Ability to work well with internal teams, including developers, engineers, architects, quality assurance, and operations. Ensure requirements are fully understood and that implementation plans match expectations. Define success criteria for testing and product acceptance. Facilitate the creation and maintenance of proper product documentation. About the Team Its a small team working closely with various other teams like Content team, Technology team, UI/UX team etc. for the project Working Hrs Monday to friday - Candidate should be flexible as the time might cut across other timezone as well.

We are looking for a Lead Software Engineer to join our Policy Automation team in India to help us build an end-to-end data automation solution. If you passionate about coding, AI, and have extensive experience on API, Rule Engine, and Frontend Frameworks development, wed love to hear from you! We are looking for someone who has experience with Python, Angular, and ideally has strong knowledge on DB. About You experience, education, skills, and accomplishments: Graduates in BE/BTech/MTech Computer science 5+ years of experience with Coding skills in Python. Solid understanding of Database and SQL It would be great if you also had . . .: Extensive experience with software development best practices, including version control, documentation, testing and CI/CD Experience with Frontend development in Angular Preferably to have a history of implementing a system with a microservices design Preferably to have experience with Rule Engine Nice to be knowledgeable on AI/ML Attention to detail in collaboration and documentation, actively communicating project priorities, handling risks, and understanding tradeoffs Strong organizational, communication, analytical, troubleshooting, and problem-solving skills What will you be doing in this role? Participate in all phases of the software development lifecycle, design, develop and implement a business rule engine to extract, ingest, and load data from various file formats into a standard data model. Design, develop and implement various API end points to manage the automation processes, support frontend components, and communicate with external service components. Implement automation processes utilizing both traditional AI and GenAI Produce efficient, maintainable, and well-tested code, by practicing code review process, following code style guides, writing documentations, and ensuring test coverage. Be a team player, participate in all the SCRUM ceremonies. Integrate the data automation system with a greater content platform. Collaborate with other members of the team to ensure release timelines are met within an Agile environment. About the Team Welcome to our Policy Automationteam! We are a dynamic and passionate group of 30+ professionals (80% situated in India), committed to craft innovative solutions that streamline data acquisition, ingestion, and management processes, using both rule-based and AI/ML technologies We pride ourselves on developing systems that not only optimize efficiency but also ensure accuracy and reliability From automated data pipelines to intelligent analytic platforms, ourteamworks tirelessly to deliver solutions that meetthe unique needs of our internalteams and external clients in healthcare industry Hours of Work 40 Hours per week, permanent full-time position

About the Role We are seeking a highly skilledSenior Software Engineerto lead the development of ourAPI Gateway infrastructureandintelligent notification systems, both enhanced withAI capabilities. This role is ideal for someone who thrives at the intersection ofplatform engineering,real-time communication, andmachine learning, and who is passionate about building secure, scalable, and intelligent systems. About You experience, education, skills, and accomplishments 5+ years of experience in backend, UI or platform engineering. Expertise in Angular and TypeScript for frontend development. Proficiency in Java, Spring Boot, Python , or Node.js . Strong understanding of PostgreSQL and SQL. Deep understanding of REST, GraphQL, gRPC , and API lifecycle management. Experience with cloud platforms (AWS/Azure/GCP) and DevOps tools (Docker, Kubernetes, Terraform). Familiarity with notification platforms (e.g Amazon SNS) or equivalent services like (Amazon SES, SQS and Lambda). Strong foundation in AI/ML concepts and experience integrating models into production systems. What will you be doing in this role? API Gateway Engineering Design and implement scalable, secure, and high-performance API Gateway solutions using platforms like Kong . Integrate AI/ML models into the gateway layer for: Dynamic routing and traffic prediction Anomaly detection and threat intelligence Adaptive rate limiting and usage forecasting Define and enforce API standards, authentication, and authorization protocols (OAuth2, JWT, etc.). Notification System Development Architect and build multi-channel notification systems (email, in-app) with real-time delivery and user preference management. Leverage AI/ML to: Personalize notification content and timing Detect and suppress redundant or low-value alerts Predict user engagement and optimize delivery strategies DevOps & Observability Implement CI/CD pipelines, monitoring, and alerting for all services.

Key Responsibilities Design and implement machine learning models to address business challenges using structured and semi-structured data. Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Build end-to-end ML pipelines in collaboration with data engineering and product teams. Use Google Vertex AI components such as: Vertex Pipelines AutoML and Custom Training Vertex AI Workbench / Notebooks Vertex Feature Store Optimize model training, deployment, and monitoring workflows using MLOps best practices. Translate business requirements into analytical models with measurable outcomes. Required Skills 2-4 years of experience in data science and applied machine learning. Expertise in: Python, SQL, R, TensorFlow or PyTorch Feature engineering, model tuning, evaluation, and interpretation 1 year of experience working with Google Vertex AI or similar GCP ML tools. Strong grasp of machine learning concepts: supervised/unsupervised learning, recommendation engines, time series forecasting, etc. Exposure to BigQuery, Cloud Storage, or Dataflow for large-scale data manipulation. Preferred Skills Vertex AI Pipelines and Feature Store ML lifecycle automation and CI/CD for ML (MLflow, TFX, etc.) Docker, Airflow, or Cloud Composer for orchestration Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus. Interested candidates can share resume at- ashurustagi@kpmg.com

ROLE: AI/ML - GenAI Work Mode: Hybrid Location: Chennai Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Preferred skills: Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals.

Project description We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions. Responsibilities Build end-to-end Gen AI solutions develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects Lead the integration of LLMs and LangChain into business processes. Utilize Python and other data manipulation languages proficiently to prepare and manipulate data. Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives. Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations. Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies. Skills Must have Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field. At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain. Proficiency in Python and other applicable programming languages. Strong knowledge of machine learning, data mining, and predictive modeling. Excellent understanding of machine learning algorithms, processes, tools, and platforms. Possess strong problem-solving and strategic thinking abilities. Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches Agentic AI / Generative AI solution design and implementation Exceptional communication, documentation and presentation skills and stakeholder management experiences Nice to have Knowledge of Agile

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI Required Candidate profile Looking for candidates working in Data Analytics companies preferably.

Duration: 6 to 8 Months Location: Ahmedabad, Gujarat Eligibility: Engineering students passing in 2026 (currently in Sem 7) with a background in Computer Science, IT, or related fields. Stipend: INR 12,000/- per month Start Date: 4th August 2025 About the Internship Mastek Limited is looking for 10 enthusiastic and curious interns with a foundational understanding or prior knowledge/exposure to Artificial Intelligence (AI) . This is not a conventional internship. You will be part of a dynamic, evolving environment where youll tackle real-world challenges, contribute to live projects, and co-create solutions with experienced professionals. This is a unique opportunity to work closely with our Oracle Delivery Practice teams to reimagine and innovate ways of working using AI and automation in Oracle Enterprise Applications. What Youll Do Collaborate with Oracle Delivery teams to identify opportunities for AI-driven innovation for customer success. Work on real-time problem statements and propose practical AI-based solutions. Explore and experiment with AI/ML tools, frameworks, and models. Participate in brainstorming sessions, solution design, and proof-of-concept development. Learn and adapt continuously in a fast-paced, agile environment. What Were Looking For Advanced understanding of AI/ML concepts (projects, certifications, or coursework preferred). Familiarity with Python, data structures, and algorithms. Familiarity with Agentic frameworks like Langchain, Langraph, crew ai etc. Exposure to tools like TensorFlow, PyTorch, OpenAI APIs, or similar is a plus. Strong analytical and problem-solving skills. Eagerness to learn, experiment, and contribute proactively. Good communication and collaboration skills.

Project description We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems. At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way. Responsibilities -Debug and solve U-Boot issues. -Enhance U-Boot to meet the new customer requirements. contribute to upstream U-Boot with the client changes. Skills Must have 4 to 7 years of C programming experience. 4 to 7 years U-Boot driver development experience. Or 4 to 7 years any firmware driver development experience. Should have Linux Drivers Development knowledge Good System Level knowledge Good debugging skills Nice to have Good Communication skills. Usage of Tool Vivado is an added advantage

Salary: 20 to 30 LPA Exp: 5 to 10 years Location: Bangalore Notice- Immediate to 15 days Role & Responsibilities: Must Have: React and Gen Ai 3+ years of relevant experience in software development. Excellent designing and programming skills. Knowledge of front-end technologies such as HTML5, CSS3, and JavaScript Expert in AngularJS Knowledge of Spring frameworks like Spring MVC or Spring Boot is a huge plus. Experience in banking domain. Basic understanding of Python is a plus. Good command over SQL query. Understanding of different databases such as MySQL, MongoDB, Oracle and/or SQL Server Exposure to source code management such as Git, GITHub, GITlab and/or BitBucket Exposure to Jenkins, Gradle, Maven Excellent verbal and written communication skills. Good time management and organizational skills. The ability to keep current with the constantly changing technology industry. A passion for design, development, and testing. Knowledge of containerization and/or cloud platform such as AWS, Azure and/or GCP is a huge plus.

As a Front-End Developer, you will design and build user interfaces for both internal and customer-facing products. Youll work closely with Engineers, Data Scientists, DevOps, and Product Managers to deliver intuitive, responsive user experiences. This role also offers opportunities to expand your skills in back-end development and AI/ML development, depending on your interests and experience. Our team performs diverse tasks so being flexible is key. About You experience, education, skills, and accomplishments 5+ experience years in UI development with a strong focus on Angular. Strong communication skills, proactive mindset, & problem-solving abilities. A passion for learning, curiosity, and a drive for innovation. Hands-on experience is our top priority, which is why its listed first. A bachelors degree is a plus but takes a backseat in importance. Solid experience with Angular. Proven ability to develop high-quality, responsive UIs. Flexibility in working hours to accommodate our diverse team. Strong communication and collaborative skills. It would be great if you also had . . . Experience with Python and back-end frameworks such as FastAPI. A keen eye for UI/UX design. What will you be doing in this role? Develop and enhance user interfaces across a range of applications. Work closely with global engineering, data science, and product teams. Contribute to UI/UX design discussions and front-end architecture decisions. Communicate effectively and take initiative to work independently when needed.

• Meeting with decision makers of Schools to brief about the Company profile, STEMROBO Products and Offerings. • Closing the sale by getting the agreement signed and collection of advance payment and responsible for company revenue generation. Perks and benefits Reimbursement, Medical, PF, Incentives

Key Responsibilities: Lead a cross-functional engineering team building AI-powered call center solutions. Oversee the deployment and tuning of STT, TTS, and LLM models. Translate expert agent feedback into model tuning strategies. Manage prompt engineering, RAG/CAG integration, and action workflows. Customize models rapidly for new enterprise clients. Ensure the team can: Understand speech-to-text and text-to-speech models Analyze feedback from expert call agents Develop and refine prompts for LLM tuning Create reliable, scalable workhorse models Optimize model operations to reduce cost Integrate LLMs with Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems Build custom action workflows linked with enterprise data systems Enable rapid customization for customer-specific use cases and data environments Requirements: Strong background in NLP and LLMs (GPT, Mistral, Claude, etc.). Experience in leading AI/ML teams or mentoring. Exposure to distributed teams across time zones. Familiar with cloud platforms (AWS/GCP), vector DBs, LangChain, etc. Deep understanding of NLP, speech technologies, and generative AI stacks Strong systems architecture and cloud deployment skills Experience leading technical teams, ideally in a fast-paced environment