39 Ai Engineering Jobs

Role Overview We are seeking a highly skilled and innovative Generative AI Specialist with handson experience in RetrievalAugmented Generation RAG Large Language Models LLMs and Azure OpenAI services The ideal candidate will have a strong foundation in Python FastAPI and LangChain and will be responsible for designing developing and deploying intelligent applications that leverage cuttingedge AI technologies Key Responsibilities Design and implement RAG pipelines to enhance LLM capabilities using enterprise data sources Develop and deploy LLMbased applications using Azure OpenAI and Azure AI Services Build scalable APIs using FastAPI to serve GenAI models and integrate with business applications Utilize LangChain to orchestrate complex workflows involving multiple tools and agents Finetune and optimize LLMs for specific use cases such as chat completion summarization and QA Collaborate with crossfunctional teams to identify opportunities for GenAI integration Ensure robust monitoring logging and performance tuning of deployed models and services Stay updated with the latest advancements in GenAI LLMs and cloudbased AI services Required Skills Experience Proven experience with RetrievalAugmented Generation RAG architectures Strong handson expertise in Generative AI and LLMs OpenAI Azure OpenAI Proficiency in Python and FastAPI for backend development Experience with LangChain for building modular and composable GenAI applications Familiarity with Azure AI Services including Cognitive Search Form Recognizer and AI Studio Experience implementing chat completion workflows and conversational agents Solid understanding of prompt engineering embeddings and vector databases Ability to work in agile environments and manage multiple projects simultaneously

As an AI Engineering Manager/ Technical Leader (Computer Vision) at Avathon, you will play a crucial role in revolutionizing industrial AI by leveraging a powerful platform to unlock the full potential of operational data. Your responsibilities will include leading a team of AI engineers specializing in computer vision, deep learning, and backend services. Here's a breakdown of what to expect in this role: **Key Responsibilities:** - Lead, mentor, and grow a team of AI engineers focusing on computer vision, deep learning, and backend services. You will oversee the complete development lifecycle of computer vision models and scalable backend systems. - Drive the technical strategy and roadmap for AI-driven visual perception and backend solutions. - Collaborate with cross-functional teams to align business goals with engineering execution, including product management, data science, and UX design. - Establish best practices for model development, API design, scalability, and performance optimization. - Ensure ethical AI practices, fairness, and bias mitigation in computer vision applications. - Stay updated with the latest advancements in AI, computer vision, and backend technologies to incorporate relevant techniques. - Drive operational excellence by monitoring system performance, reliability, and security. Also, ensure adherence to accessibility, security, and compliance standards. - Establish best practices for mobile architecture, development, and DevOps pipelines. **Required Qualifications:** - Bachelor's or master's degree/ PhD in computer science, AI, Machine Vision Learning, or a related field. - 8+ years of software engineering experience, with at least 3+ years in a leadership role as a Principal Engineering or Lead Scientist or Lead Development Engineer. - Good expertise in computer vision, deep learning, and AI model development. Preferably experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms. - Proficiency in Python, C++, or another relevant programming language. Experience with cloud-based AI solutions (AWS, GCP, or Azure) and scalable backend infrastructure. - Prior experience in cutting-edge technologies impacting autonomous vehicles, healthcare, robotics, and augmented reality is preferred. If you are passionate about computer vision and eager to lead a dynamic and innovative team, Avathon encourages you to apply. Avathon is dedicated to providing reasonable accommodations throughout the recruiting process. Feel free to reach out to discuss how we can support you.,

As a member of the SAP team, you will be contributing to shaping the future of over 20 industries and impacting 80% of global commerce. Your unique talents are needed to help drive innovation and shape what's next in the ever-evolving world of technology. The work may be challenging, but it is meaningful. At SAP, you will have the opportunity to be yourself, prioritize your well-being, and be part of a team that values your growth and success. Joining SAP's AI engineering group means becoming part of a collaborative and mission-driven team focused on building distributed systems and AI infrastructure at scale. Working closely with product managers, researchers, and architects, you will be involved in delivering innovative solutions that power SAP's next-generation AI and LLM capabilities. In a leadership role within this team, you will have the chance to influence SAP's AI strategy, mentor talented engineers, and lead projects with a global impact. The culture at SAP is grounded in trust, autonomy, and a shared commitment to innovation and excellence. SAP's innovations benefit over four hundred thousand customers worldwide, enabling more efficient collaboration and effective business insight. From enterprise resource planning (ERP) software to end-to-end business application software, SAP has established itself as a market leader in various domains. As a cloud company with millions of users and a strong global presence, SAP is dedicated to driving purposeful innovation and fostering a collaborative team environment focused on personal development. At SAP, inclusivity is a core value, along with a focus on health, well-being, and flexible working models to ensure that every individual, regardless of background, can thrive. The company recognizes the strength in diversity and invests in employees to help them realize their full potential. SAP is committed to creating a better world by unleashing the talents of all individuals. If you are interested in joining SAP and require accommodations or special assistance during the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. For SAP employees, the Employee Referral Program is available for permanent roles based on the eligibility criteria outlined in the SAP Referral Policy. Successful candidates may undergo a background verification process conducted by an external vendor. For details on the ethical use of AI in SAP's recruitment process, please refer to the Guidelines for Ethical Usage of AI in the Recruiting Process. Please be aware that any violation of these guidelines may lead to disqualification from the hiring process. SAP is committed to Equal Employment Opportunity values and provides accessibility accommodations for applicants with physical and/or mental disabilities. The company believes in unleashing the potential of all talent to create a more inclusive and better world for everyone.,

Were Hiring Head of Marketing (Strategic IT Services) | Pune, India Our client is a dynamic IT services and digital transformation firm driving innovation through digital engineering, platform acceleration, and AI-powered enterprise solutions for clients in the US and Europe . We&aposre seeking a Marketing Director / Head of Marketing to lead global marketing strategy from Pune, India , and elevate global brand presence in enterprise markets. Key Responsibilities Develop and execute a comprehensive global marketing strategy targeting US & European enterprise clients across IT services, digital transformation, AI/ML, platform engineering, cloud, and generative AI. Drive brand positioning , demand generation, and account-based marketing (ABM), leveraging industry-relevant strengths such as low-code accelerators, AI-driven digital transformation, and platform-led engineering. Fulcrum DigitalWorld Technology Leader Collaborate closely with global sales leadership and domain experts to craft go-to-market campaigns, launch strategic client-facing initiatives, and showcase thought leadership. Lead digital marketing, content strategy, PR, and analyst relations to build credibility in target marketsespecially showcasing success in reducing development time/costs with low-code platforms and AI solutions. World Technology Leader Build and mentor a high-performing Pune-based marketing team with a global mindset and cross-functional collaboration. Ideal Candidate Profile 12+ years in marketing leadership roles within IT services, digital consulting, or enterprise platform engineering especially those supporting US and European markets. GlassdoorFulcrum Digital Strong expertise in digital marketing , demand generation, and ABM, with a history of driving engagement for enterprise technology services. Hands-on experience managing content, campaigns, and communications to strengthen brand awareness and influence in global enterprise sectors. Excellent stakeholder management, global collaboration skills, and ability to translate complex technical strengths into compelling marketing narratives. Strategic thinker with execution focuscapable of blending long-term brand building with high-impact campaign delivery. Location Pune, India Leadership role with hybrid working flexibility Why This Role Matters Youll lead global marketing for a client recognized for accelerating enterprise innovationempowered by digital transformation solutions like low-code platforms, AI engineering, and cloud advancementwhile delivering measurable business value to clients across industries. World Technology LeaderFulcrum Digital Apply Now Ready to drive global marketing excellence in a fast-paced, innovation-led IT services environment Share your resume at [your email/contact] or reach out directly. #MarketingDirector #HeadOfMarketing #ITSolutions #DigitalTransformation #ABM #GlobalMarketing #PuneJobs #AIEngineering #PlatformEngineering Show more Show less

As a First Responder AI Expert with 5-7 years of experience, your primary responsibility will be to lead the development of AI agents designed for instant, context-aware responses. This role requires expertise in AI engineering, natural language processing (NLP), and a deep understanding of business operations. You will play a crucial role in creating, deploying, and optimizing AI agents that act as a "first responder" to various queries and events within the organization. This includes automating support, knowledge access, and operational workflows to enhance efficiency and productivity. Your key responsibilities will involve end-to-end agent development, where you will design, develop, and deploy conversational and autonomous AI agents capable of triaging, answering, and resolving user requests in real-time. Leveraging large language models (LLMs) and implementing robust RAG (Retrieval Augmented Generation) systems will be essential to ensure accurate and effective agent responses. Additionally, you will be required to integrate AI agents with internal business systems such as Slack, Jira, Salesforce, and CRM using APIs, enabling autonomous actions and seamless workflow automation. Your prompt engineering and agent design skills will be crucial in ensuring agents provide relevant and contextually appropriate responses while delivering a positive user experience. Collaboration and leadership are also key aspects of this role, as you will act as a subject matter expert on "first responder" AI solutions, provide technical guidance to cross-functional teams, and work closely with product managers and business stakeholders to define agent capabilities. Mentoring junior engineers and sharing best practices in agent development will also be part of your responsibilities. To be successful in this role, you must hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 5-7 years of experience in AI engineering, NLP engineering, or a similar role. Strong proficiency in Python is non-negotiable, and deep expertise in NLP techniques, generative AI technologies, MLOps practices, cloud platforms, and system integration is required. Preferred qualifications include experience with specific agent frameworks, developing AI solutions for various business functions, understanding of ethical AI principles, contributions to open-source projects, and familiarity with real-time streaming data technologies. If you are a highly experienced and innovative AI professional looking to lead the development of cutting-edge AI solutions as a First Responder AI Expert, we invite you to apply and be part of our dynamic team.,

At BMC, trust is not just a word - it's a way of life! We are an award-winning, equal opportunity, culturally diverse, and fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, knowing that you will bring your best every day. We champion your wins and shout them from the rooftops, while your peers inspire, drive, support you, and make you laugh out loud! The Value & Solution Engineering group (VSE) at BMC partners with the Sales organization to deliver impactful customer experiences by combining in-depth knowledge of BMC solutions with a deep understanding of the customer's business. As an AI Specialist at BMC Software, you will develop and implement AI solutions that enhance our ability to showcase the value of BMC products. Your expertise in AI technologies, generative AI, and large language models will support presales and sales teams in engaging potential clients effectively. In this exciting role, you will contribute to BMC Software's success by: - Developing AI and generative AI solutions aligned with customer needs and business goals. - Creating prototypes and proof-of-concept models to demonstrate AI capabilities. - Leveraging knowledge management platforms and content repositories to build AI models for sales engagements. - Conducting technical demos and presentations to highlight AI-driven solutions. - Collaborating with internal teams to understand business challenges and propose AI-based solutions. - Providing technical support, addressing AI-related queries and concerns. - Working cross-functionally with solution engineers, value engineers, and product managers to ensure successful AI implementations. - Staying updated with advancements in AI, generative AI, and large language models to enhance solution offerings. To ensure your success in this role, you should possess the following skillset & experience: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in AI engineering, particularly with generative AI and large language models. - Expertise in machine learning frameworks, NLP techniques, and web scraping. - Strong analytical and problem-solving skills to develop AI solutions for client challenges. - Excellent communication and presentation skills to simplify complex AI concepts for diverse audiences. - Ability to thrive in collaborative, fast-paced environments and adapt to evolving business needs. BMC's culture is built around its people, with more than 6000 brilliant minds working together across the globe. If you are deeply excited about BMC and this team, we encourage you to apply even if you are unsure if you meet the qualifications of this role. We aim to attract talents from diverse backgrounds and experiences to face the world together with the best ideas. BMC's employee compensation package includes more than just salary, with other rewards such as a variable plan and country-specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and we maintain transparency about our compensation practices. If you have had a break in your career, this role is eligible for candidates looking to re-enter the workforce. Visit [BMC Returnship](https://bmcrecruit.avature.net/returnship) to learn more and apply.,

We seek a Junior AI Engineer with min 2years of hands-on experience (or strong internships/projects) in machine learning, NLP, or GenAI. You will support the development and deployment of AI models, contribute to data preparation pipelines, and learn best practices in MLOps and applied AI engineering. Key Responsibilities 1. Model Development & Support Assist in building ML models (classification, regression, clustering, forecasting). Contribute to fine-tuning and prompt engineering for LLMs (GPT, LLaMA, etc.). Experiment with vector databases and RAG pipelines for GenAI applications. 2. Data Preparation & Engineering Work with structured/unstructured datasets for ML training. Perform data cleaning, feature engineering, and basic pipeline development. 3. MLOps & Deployment (Learning Role) Support containerization and deployment of models using Docker/Kubernetes. Learn to implement CI/CD pipelines for ML workflows. 4. Collaboration & Learning Work under guidance of senior engineers and data scientists. Document experiments and present results to technical and business stakeholders. Technical Skills: o Programming: Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow). o ML Basics: Regression, classification, clustering, time-series. o GenAI/LLMs: Prompt engineering, LangChain basics, RAG concepts. o Databases: SQL (basic), exposure to NoSQL/vector DBs (Pinecone, FAISS). o MLOps Exposure: Docker, Git, basic CI/CD knowledge. Bonus: Knowledge of vision models, transformers, or cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI). Education- Bachelors/Masters in Computer Science, Data Engineering, or related field

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. As an AI Engineer with Python at Artmac Soft, you will be responsible for leveraging your 1 year of experience in AI engineering, with a focus on Python programming. Your role will involve utilizing your knowledge of Cursor AI, Render, and CloudFlare, along with proficiency in Python libraries and frameworks like TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. You will need a strong understanding of machine learning algorithms and deep learning architectures to develop AI/ML models that address business challenges. In this role, you will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products. Your responsibilities will also include building and maintaining scalable data pipelines for machine learning workflows, optimizing AI models for performance and accuracy, and developing APIs and services to deploy AI models in production environments. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Additionally, you must have experience with cloud platforms like AWS, GCP, or Azure, as well as containerization tools such as Docker and Kubernetes. Knowledge of CI/CD pipelines, MLOps practices, NLP, computer vision, distributed computing, big data technologies, version control systems like Git, real-time data processing, and streaming will be beneficial. You will also be expected to stay updated on the latest advancements in AI, machine learning, and deep learning, while documenting AI solutions, workflows, and best practices. Monitoring, evaluating, and troubleshooting deployed models to ensure reliability and performance will be part of your routine tasks, along with data preprocessing, feature engineering, and exploratory data analysis. If you are passionate about AI, Python programming, and leveraging cutting-edge technologies to drive business outcomes, we encourage you to apply for this Full-Time position based in Hyderabad, Telangana. Join us at Artmac Soft and be part of a team that is dedicated to delivering innovative technology solutions to our customers.,

As a Mid-Level AI Engineer (Backend & NLP) at South Guild Tech in Coimbatore, you will be an integral part of our team focused on building AI platforms that revolutionize enterprise workflows in industries such as healthcare, audit, and industrial automation. Your role will involve developing advanced AI-driven applications, utilizing state-of-the-art NLP models, and enhancing retrieval systems to enable intelligent automation at a large scale. You will contribute to the creation of the next generation of AI-powered knowledge automation tools, AI agents, and scalable backend systems. Your responsibilities will include designing and developing AI-driven retrieval systems, working on Natural Language Processing (NLP) and AI engineering tasks, developing scalable backend architectures for AI applications, managing data engineering processes, and orchestrating AI agent development. At South Guild Tech, we are dedicated to AI-first innovation, emphasizing cutting-edge LLM applications, knowledge automation, and intelligent retrieval systems. We prioritize security and scalability in our self-hosted AI platforms and foster a deep engineering culture that tackles challenging problems in AI, backend infrastructure, and distributed computing. Moreover, you will witness the real-world impact of your AI solutions in powering healthcare, finance, and industrial automation sectors. To be successful in this role, you should possess a strong understanding of retrieval methods ranging from traditional search techniques to vector-based retrieval, hands-on experience with LLMs, embeddings, and transformer-based models, proficiency in Python and backend development frameworks, familiarity with AI agentic frameworks, and knowledge of SQL & NoSQL databases. Additionally, you should be skilled in data processing pipelines, ETL workflows, and real-time data integration, capable of solving complex AI problems, and ideally have research/publications in NLP, AI retrieval, or related fields. Joining South Guild Tech means being part of a team that is not just building AI but engineering the future of enterprise AI automation. If you are passionate about AI innovation, backend development, NLP, and want to work on impactful projects that shape the future of various industries, we encourage you to apply and be a part of our dynamic team in Coimbatore.,

The future is being built today, and at Johnson Controls, we are making that future more productive, secure, and sustainable. By harnessing the power of cloud computing, artificial intelligence and machine learning (AI/ML), data analytics, the Internet of Things (IoT), and user design thinking, we are delivering on the promise of intelligent buildings and smart cities that connect communities in ways that enhance people's lives and make the world a better place. As the AI landscape expands to GenAI, we are continuously evolving and pivoting to capitalize on these advancements and bring them through the maturity cycle to benefit our teams and customers. The Johnson Controls Data Strategy & AI team's mission is to infuse AI capabilities into products through a collaborative approach with multiple business units. The team aims to create end-to-end enablers that streamline AI/ML operations, starting from data supply strategy to data discovery, model training and development, and deployment of AI services in the cloud as well as at the Edge. We are currently seeking a hands-on Senior Software Engineer with industry experience to contribute to foundational AI/ML engineering with repeatability in mind. The Senior Engineer will collaborate with data scientists, platform/data architects, and domain experts from various teams across JCI to build enablers that help productize AI/ML models. Responsibilities include utilizing sound software engineering principles to deliver high-quality software that serves as the foundation for our end-to-end AI/ML solutions, translating AI/ML customer features into well-thought-out engineering requirements, and leveraging GenAI frameworks for designing cutting-edge generative artificial intelligence models. Joining a highly performant technical team, the Senior Software Engineer will work with backend, MLOps, LLMOps, DevOps engineers, and architects to bring workflows to life that aid in the development and widespread deployment of AI services in the cloud and at the edge. Additionally, collaborating with Product and Data Science teams, evaluating technologies, and presenting recommendations for potential partners are key aspects of the role. Requirements: - Bachelor's degree in Computer Science, Electrical or Computer Engineering, or equivalent demonstrated technical abilities - 5+ years of experience as a Software Engineer in Cloud Services or IoT, with expertise in UI technologies such as Angular, JavaScript, HTML, CSS - Proficiency in modern programming languages like Python, Nodejs, and experience with Test Driven Development (TDD) methodology - Hands-on experience with backend services on cloud platforms like AWS, Azure, or GCP, API-first design, message brokers, caches, queues, pub/sub concepts, and container technologies - Familiarity with SCRUM/Agile development methodology and strong communication skills Preferred Qualifications: - Master's degree in Computer Science, Electrical or Computer Engineering - Experience working alongside Data Scientists to productize AI/ML Models - Knowledge of developing LLMops solutions for generative AI using frameworks like LangChain, LlamaIndex, and conversational Agents using Azure AI Services or similar services,

We seek a Senior AI Scientist with strong ML fundamentals and data engineering expertise to lead the development of scalable AI/LLM solutions. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices. Key Responsibilities 1. AI/LLM Development: o Fine-tune and optimize LLMs (e.g., GPT, Llama) and traditional ML models for production. o Implement retrieval-augmented generation (RAG), vector databases, and orchestration tools (e.g., LangChain). 2. Data Engineering: o Build scalable data pipelines for unstructured/text data (e.g., Spark, Kafka, Airflow). o Optimize storage/retrieval for embeddings (e.g., pgvector, Pinecone). 3. MLOps & Deployment: o Containerize models (Docker) and deploy on cloud (AWS/Azure/GCP) using Kubernetes. o Design CI/CD pipelines for LLM workflows (experiment tracking, monitoring). 4. Collaboration: o Work with DevOps to optimize latency/cost trade-offs for LLM APIs. o Mentor junior team members on ML engineering best practices. Required Skills & Qualifications Education: MS/PhD in CS/AI/Data Science (or equivalent experience). Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects.

You are a talented and experienced Senior AI Developer with over 5 years of professional experience. You have a diverse skill set covering front-end, back-end, AI engineering, cloud technologies, and databases. Your expertise includes working with technologies such as React, Typescript, and Chakra-UI for front-end development, Python, Fast API, and Pydantic for back-end frameworks, and AI frameworks like TensorFlow or PyTorch for artificial intelligence engineering. In your role, you will be responsible for developing and maintaining scalable front-end applications, designing robust back-end solutions, and implementing AI solutions to fine-tune machine learning models. You will collaborate with cloud services using AWS for application deployment and management, as well as design and manage databases ensuring data integrity and optimization. You possess a Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. Additionally, you have proven experience as a Data Scientist with a track record of delivering impactful data-driven solutions. Your strong problem-solving skills and ability to think critically enable you to develop innovative solutions, while your excellent communication and collaboration skills allow you to effectively convey complex technical concepts to various stakeholders. Your experience working in Agile methodologies within distributed teams showcases your ability to collaborate effectively and deliver results. Your attention to detail and the capability to manage multiple projects simultaneously set you apart as a reliable and independent contributor. Overall, your expertise in AI development, cloud technologies, and database systems make you a valuable asset to our dynamic team.,

As an AI/ML Technical Architect at our organization, you will be responsible for designing and scaling AI platforms to deliver enterprise-grade solutions. With over 10 years of experience, you will leverage your expertise in Machine Learning, Large Language Models (LLMs), LLMOps, and DevOps practices to architect innovative AI-driven solutions within a hybrid work environment. Your responsibilities will include architecting and building scalable AI platforms tailored to business and customer needs, ensuring high availability, reliability, and performance of AI solutions. Collaborating with stakeholders to evangelize platform adoption, you will design and implement ML pipelines for experiment management, model training, deployment, and retraining. Your role will also involve leading the design, fine-tuning, and optimization of LLMs to enhance accuracy and reduce latency. Implementing LLMOps best practices using frameworks such as LangChain, LangGraph, and LangFlow, you will manage deployments using Kubernetes, Docker, and container orchestration. Monitoring and optimizing systems using tools like Prometheus, Grafana, and Kibana will be crucial in ensuring the efficiency of AI solutions across major cloud platforms such as AWS, Azure, and GCP. Additionally, you will provide technical leadership and mentorship to engineering teams, collaborating with cross-functional stakeholders to align solutions with business goals. Your proficiency in Python, SQL, and JavaScript, along with hands-on experience in cloud platforms and modern data systems, will be essential in delivering end-to-end solutions from architecture design to production. If you possess certifications such as AWS Professional Solution Architect and AWS Machine Learning Specialty or Azure Solutions Architect Expert, it will be considered a bonus. Join us and be part of a dynamic team driving innovation in AI/ML technology. Please note that immediate joiners to 15 days" notice period are preferred for this position.,

:Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida

We are searching for an experienced and innovative Artificial Intelligence (AI) Tech Lead to join our dynamic team. What You Do As an AI Tech Lead, you will help design, build, and optimize AI-first systems and solutions that advance our digital capabilities and create real value for our clients. Provide technical leadership and mentorship to a multidisciplinary AI team. Collaborate with stakeholders to identify business opportunities and AI use cases. Translate abstract business problems into concrete, innovative AI solutions. Drive code quality, robust architecture, and documentation within technical teams. Facilitate knowledge sharing, peer reviews, and upskilling within the AI team. You will collaborate with cross-functional teams. Work on Valtechs various AI Accelerators What We Ask 3+ years of hands-on experience in AI engineering and 10+ years of overall work experience. Proficiency with programming languages such as Python. Knowledge of software engineering best practices including source control, CI/CD, and automated testing. Familiarity with cloud technologies and managed AI services such as Azure Machine Learning, AWS SageMaker, or Google AI Platform. Understanding of responsible AI, data privacy, and ethical AI development. Understanding of AI Concepts like LLMs, RAG, AgenticAI, MCPs. Stay updated with the latest AI research and technologies. Prior involvement in MLOps, model deployment, monitoring, and automation of AI workflows. Strong critical thinking, communication, and teamwork skills, with a willingness to share ideas and collaborate. Zeal to learn & Excel. What We Offer Joining the Valtech global team puts you in the ranks of a pioneering digital innovator worldwide. We focus on delivering quality services to clients, fostering the growth and development of our workforce. As an integral member of the team, you will have the opportunity to pave your career path while significantly contributing to our business success. At Valtech, were here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what were doing to create a Valtech for everyone here. Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. Wed love to hear from you and see if youre our next member of the Valtech team! Show more Show less

Qualcomm India Private Limited is a leading technology innovator that drives digital transformation to enable next-generation experiences and create a smarter, connected future for all. As a Qualcomm Software Engineer, your role involves designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge products that exceed customer needs. You will collaborate with various teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 3+ years of Software Engineering experience - OR Master's degree in relevant field with 2+ years of experience - OR PhD in relevant field with 1+ year of experience - 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. - Location: Hyderabad - Experience: 1-5 Years We are looking for experienced Machine Learning Engineers with expertise in Generative AI to join our core AI team. The ideal candidate will focus on designing, developing, and deploying cutting-edge generative AI solutions, specifically in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities: - Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources - Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation - Create robust evaluation frameworks to measure and improve model performance - Build and maintain agentic workflows for autonomous AI systems - Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications: - Bachelor's or Master's degree in Computer Science or related field - 3+ years of experience in Machine Learning/AI engineering - Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) - Practical experience with LLM deployments and fine-tuning - Experience with vector databases and embedding models - Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) - Strong understanding of RAG architectures and implementation Preferred Qualifications: - Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) - Knowledge of prompt engineering and chain-of-thought techniques - Experience with containerization and microservices architecture - Background in NLP and deep learning - Background in Reinforcement Learning - Contributions to open-source AI projects - Experience with ML ops and model deployment pipelines Skills and Competencies: - Strong problem-solving and analytical skills - Excellent communication and collaboration abilities - Experience with agile development methodologies - Ability to balance multiple projects and priorities - Strong focus on code quality and best practices - Understanding of AI ethics and responsible AI development Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Accommodations can be requested by emailing disability-accommodations@qualcomm.com or calling Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including security and confidentiality requirements. Note: The provided email address is solely for requesting accommodations for individuals with disabilities. Requests for updates on applications or resume inquiries will not be addressed here. Staffing and recruiting agencies are not authorized to use the Qualcomm Careers Site for submissions. Unsolicited resumes or applications will not be accepted. For more information, please contact Qualcomm Careers.,

As a Senior Software Developer (SDE) at Techdome, you will play a crucial role in not just building software, but also prescribing the right technology to enhance the overall user experience and productivity of our customers" products. We are dedicated to exploring the latest tools and technologies to create cutting-edge production software that can make a significant impact. If you are seeking a fulfilling career where you can develop software tools that have the potential to change the world and be used by everyone around you, this opportunity is tailor-made for you. We are currently seeking a Senior Software Developer (SDE) with a minimum of 3+ years of experience, although the responsibilities associated with this role are indicative of a more senior profile. This position is based onsite in either Hyderabad or Indore, where you will be at the forefront of technological innovation, working on developing scalable products and solutions. Your key responsibilities will include leading technical implementations, managing a team, contributing to architecture, and solving complex problems across various technologies in an Agile environment. Your primary responsibilities will involve: - Developing products and solutions that can scale to hundreds of thousands of users while ensuring performance and reliability. - Collaborating closely with stakeholders and management to plan technical implementations and architecture of solutions. - Setting up telemetry, analytics, and production monitoring for solutions to ensure smooth operations and gather insights. - Leading the launch of new products to market and establishing complete product and feature life cycles with your team. - Having autonomy in driving solutions and collaborating with teammates who have successfully launched and managed business-critical solutions. - Managing and leading technical team members, providing guidance and support to help them enhance their skills. - Reviewing code, identifying bottlenecks, and solving problems to deliver maintainable and scalable solutions. - Being proficient in working with various technologies as needed and collaborating closely with frontend teams. Key Skills & Qualifications (Must Have): - Minimum of 3+ years of experience in software development, with experience managing a team for at least 1 year. - Detailed experience with backend technologies and frameworks such as ASP.NET, Spring Boot, Nest JS, Express, FastAPI, or Django. - Proficiency in working with SQL and NoSQL databases. - Comfortable with agile methodology and demonstrated capability in building scalable and secure web applications. - Experience managing applications in production with benchmarking and telemetry. - Ability to write technical documentation and diagrams, and collaborate effectively with cross-functional teams. - Familiarity with cloud platforms like Azure, AWS, and GCP. Desirable Skills (Good to Have): - Knowledge of frontend stacks like React, Angular, Electron, Flutter, Android, or iOS. - Experience with deployment including CI/CD and Kubernetes. - Familiarity with AI engineering projects and testing experience, particularly automation testing. Joining Techdome comes with a range of perks, including accelerated career growth, certification reimbursement, opportunities for innovation and continuous learning, rewards and recognition, employee wellbeing support, and a fun and engaging work culture. Take the next step in your career and make a significant impact by joining our team at Techdome!,

As a Responsible AI Specialist/ Sr. Analyst at Accenture Strategy & Consulting Global Network, specifically within the Responsible AI COE, you will be at the forefront of the AI revolution, contributing to the development of systems that not only enhance various aspects of life but also raise questions about fairness, interpretability, privacy, and security. The Data and AI landscape is rapidly evolving, and at Accenture, you will have the opportunity to be part of this transformational journey. With a global presence spanning across industries and countries, Accenture offers a platform to work on cutting-edge projects that impact millions of lives while ensuring responsible and inclusive AI technology deployment. Collaborating with a diverse and skilled team within the S&C Global Network, Data & AI division, you will engage in a range of activities from strategy formulation to AI engineering, driving end-to-end business change by leveraging data and AI capabilities. Your role will be pivotal in bringing the Responsible AI vision to life, enabling clients to operate ethically and inclusively with the use of AI technology. By leveraging your consulting background in data science/analytics and a passion for understanding the societal impact of AI systems, you will play a significant part in conducting assessments related to fairness, bias, explainability, model validation, and robustness. Joining the Responsible AI COE at Accenture means being part of a team committed to developing AI products and solutions with a focus on responsibility and trustworthiness. You will work closely with clients, academia, and industry experts to shape innovative approaches to Responsible AI, aligning with Accenture's strategic priorities in this space. Your responsibilities will include consulting with clients on designing user-centered AI systems, contributing to research on Responsible AI, developing best practices and frameworks for scalable implementation, and fostering thought leadership through publications and public engagements. Embark on a rewarding journey with Accenture as a Responsible AI Specialist/ Sr. Analyst, where each day presents new challenges and opportunities to make a meaningful impact on the Responsible AI landscape.,

Arrk Group India is a technology company with over 23 years of industry experience, specializing in developing scalable platforms to meet the needs of customers and enabling organizations to implement disruptive technologies for business transformation. The focus is on helping both public and private sector customers globally transition to digital environments. As a Senior AI Engineer at Arrk Group India, you will be responsible for AI Engineering System Architecture and Development. This includes understanding generative AI, large language models, and other foundation models for various business applications. You should possess demonstrable knowledge and practical experience in using models programmatically via APIs and have a strong understanding of AI engineering solutions architectures such as RAG. Your practical AI skills should include evaluating models for specific use cases, knowledge of databases like SQL, Postgres, and vector databases like pgvector and ChromaDB. You will explore, analyze, and visualize data at scale to identify differences in data distribution that could impact model performance. Additionally, you will need to verify data quality, clean data, establish ground truth, synthesize data, and organize data for fine-tuning. Proficiency in deploying large language models to production, training models, tuning hyperparameters, and selecting hardware for running ML models with the required latency is essential. You should also be able to analyze machine learning algorithms for problem-solving and rank them based on success probability. Knowledge of OpenCV and familiarity with deep learning frameworks like TensorFlow, PyTorch, or similar is desired, along with experience in AWS Cloud and Sagemaker. In addition to technical skills, you should be comfortable with rapid prototyping, possess strong problem-solving and analytical skills, and have familiarity with version control systems like Git. Proficiency in Python and basic ML libraries, understanding of NLP frameworks such as Spacy, and familiarity with REST APIs are necessary. Knowledge of crawling frameworks like Scrapy, Linux OS, and excellent communication skills are also required. If you meet the specified criteria and are interested in joining a dynamic team working on cutting-edge AI solutions, please share your updated CV to kajal.uklekar@arrkgroup.com. We are looking forward to connecting with talented AI professionals who can contribute to our innovative projects. Thank you, Kajal Uklekar Senior Talent Manager,

We are searching for an experienced and innovative Artificial Intelligence (AI) Tech Lead to join our dynamic team. What You Do As an AI Tech Lead, you will help design, build, and optimize AI-first systems and solutions that advance our digital capabilities and create real value for our clients. Provide technical leadership and mentorship to a multidisciplinary AI team. Collaborate with stakeholders to identify business opportunities and AI use cases. Translate abstract business problems into concrete, innovative AI solutions. Drive code quality, robust architecture, and documentation within technical teams. Facilitate knowledge sharing, peer reviews, and upskilling within the AI team. You will collaborate with cross-functional teams. Work on Valtechs various AI Accelerators What We Ask 3+ years of hands-on experience in AI engineering and 10+ years of overall work experience. Proficiency with programming languages such as Python. Knowledge of software engineering best practices including source control, CI/CD, and automated testing. Familiarity with cloud technologies and managed AI services such as Azure Machine Learning, AWS SageMaker, or Google AI Platform. Understanding of responsible AI, data privacy, and ethical AI development. Understanding of AI Concepts like LLMs, RAG, AgenticAI, MCPs. Stay updated with the latest AI research and technologies. Prior involvement in MLOps, model deployment, monitoring, and automation of AI workflows. Strong critical thinking, communication, and teamwork skills, with a willingness to share ideas and collaborate. Zeal to learn & Excel. What We Offer Joining the Valtech global team puts you in the ranks of a pioneering digital innovator worldwide. We focus on delivering quality services to clients, fostering the growth and development of our workforce. As an integral member of the team, you will have the opportunity to pave your career path while significantly contributing to our business success. At Valtech, were here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what were doing to create a Valtech for everyone here. Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. Wed love to hear from you and see if youre our next member of the Valtech team! Show more Show less

As an AI Engineer at Tiger Analytics in the Data and AI team, you will have the opportunity to work on internal strategic initiatives as well as tackle complex AI/ML challenges for clients. Your role will involve collaborating closely with senior leadership, including one of the founders, to develop an innovative enterprise platform. This platform will serve as a digital twin of existing systems, functioning as an intelligent bot/platform that offers real-time insights and guidance on tasks. If you have a passion for Generative AI, LLMs, and cutting-edge technologies, and enjoy creating high-impact solutions, we invite you to join our team. Your responsibilities will include: - Working with leadership to grasp the vision, scope, and requirements of the enterprise platform. - Designing and constructing a smart, AI-driven platform that optimizes projects with real-time intelligence. - Utilizing advanced technologies like LLMs (Large Language Models) and Generative AI to develop transformative tools. - Integrating the platform seamlessly with existing organizational systems to ensure smooth operations. - Contributing to the development of scalable, reliable, and high-performance software solutions. - Engaging in peer reviews and promoting code quality within the team. The ideal candidate for this role should possess: - 2-6 years of experience in MLE/MLOps/AI Engineering. - Previous exposure to LLMs, Generative AI, or similar AI technologies. - Proficiency in backend development using Python (Django/Flask) or equivalent technologies. - A solid understanding of APIs and microservices architecture. - The ability to collaborate effectively with cross-functional teams in a dynamic environment. - A keen interest in learning and leveraging new technologies to address intricate challenges. At Tiger Analytics, we value diversity and inclusivity. We encourage individuals with varying skill sets and qualities to apply, even if they do not meet all the criteria for the role. We are committed to being an equal opportunity employer, fostering a culture where listening, trust, respect, and personal growth are prioritized. Please note that the job title and compensation will be determined based on your expertise and experience level. Additionally, our competitive compensation packages are designed to be among the best in the industry. In addition to your salary, we offer a range of benefits including health insurance for yourself and your family, access to a virtual wellness platform, and opportunities to engage with various knowledge communities.,

Job Description As a Python Backend Engineer with exposure to AI engineering at Quantanite, you will be an integral part of our team responsible for building a scalable, cognitive data platform. Your role will involve designing and developing high-performance backend services using Python (FastAPI), developing RESTful APIs for data ingestion, transformation, and AI-based feature access, and collaborating closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Your primary responsibilities will include managing database schemas, writing complex SQL queries, and supporting ETL processes using Python-based tools. Additionally, you will be tasked with building secure, scalable, and production-ready services that adhere to best practices in logging, authentication, and observability. You will also implement background tasks and async event-driven workflows for data crawling and processing. In terms of AI engineering contributions, you will support the integration of AI models (NLP, summarization, information retrieval) within backend APIs. You will collaborate with the AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX, and participate in training data pipeline design and minor model fine-tuning as needed for business logic. Furthermore, you will contribute to the testing, logging, and monitoring of AI agent behavior in production environments. To be successful in this role, you should have at least 3 years of experience in Python backend development, with a strong proficiency in FastAPI or equivalent frameworks. A solid understanding of RESTful API design, asynchronous programming, and web application architecture is essential. Additionally, you should demonstrate proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services, as well as experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus, along with familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration is highly valued at Quantanite. If you are looking for a challenging yet rewarding opportunity to work in a collaborative environment with a focus on innovation and growth, we encourage you to apply to join our dynamic team at Quantanite.,

The Head of R&D AI Engineering at Sanofi is a crucial role within the R&D Data & AI Products and Platforms Team, where you will play a pivotal part in driving the development and delivery of Data and AI products to enhance R&D operations. As part of the digital transformation program at Sanofi, you will lead the acceleration of data transformation and adoption of artificial intelligence (AI) and machine learning (ML) solutions to improve R&D, manufacturing, and commercial performance. Your main responsibilities will include developing and executing a vision and strategy for AI/ML product development, leading AI product development in alignment with R&D data strategy and business goals, and ensuring the deployment of AI/ML models through APIs/endpoints. You will collaborate closely with AI/ML model development teams, manage project timelines and resource allocation, and promote bias protection and fairness within AI/ML technologies. As the Head of R&D AI Engineering, you will also be responsible for building and leading a high-performing team of engineers, providing mentorship, training, and resources to empower the team to deliver engineering excellence. You will work towards continuous improvement in AI/ML product delivery and provide guidance and support to overcome any challenges faced by AI Engineers during product delivery. Furthermore, you will collaborate with Platform and Data Engineering Teams to maintain data pipelines and consistent ways of working across teams, and partner with Enterprise Digital to oversee AI/ML data protection, governance, and compliance. Your expertise in machine learning, deep learning, natural language processing, and other related ML/AI technologies, along with experience in programming languages such as Python, R, Java, and cloud platforms, will be essential in this role. Sanofi is committed to providing a supportive and future-focused environment where you can bring the miracles of science to life. With numerous opportunities for growth and career development, a well-crafted rewards package, and a wide range of health and wellbeing benefits, Sanofi offers an empowering and rewarding career journey. Join us in pursuing progress and discovering extraordinary possibilities in the field of science and healthcare.,

The AI Presales Consultant is responsible for bridging the gap between technical expertise in Artificial Intelligence (AI) and the business requirements of international prospects. You will engage directly with clients to identify industry-specific use cases for Generative AI, design tailored solutions, collaborate with AI engineering teams, and develop compelling proposals that clearly articulate business value and technical feasibility. Your key responsibilities will include conducting industry-specific research to identify relevant AI and Generative AI use cases, assessing and differentiating between viable solutions, collaborating with AI Engineers to design tailored AI solutions, developing detailed user flows and solution architecture documents, leading client-facing demonstrations and proof-of-concept presentations, and maintaining strong client relationships. To qualify for this role, you should have a Bachelor's Degree in Computer Science, Engineering, IT, or related field, with advanced degrees preferred. You should have at least 7 years of experience in AI presales, solutions consulting, or business analysis roles. Demonstrable understanding of core AI and Generative AI concepts, experience in creating technical proposals, excellent communication and presentation skills, and the ability to manage multiple client engagements concurrently are essential qualifications. Preferred attributes include experience working with global clients, a self-motivated approach to learning emerging technologies, strong organizational skills, and familiarity with AI tools and cloud platforms. If you have a passion for innovation and possess the required technical expertise and business acumen, this role offers an exciting opportunity to drive strategic business enablement through AI solutions.,

What will you do Voice AI Stack Ownership: Build and own the end-to-end voice bot pipeline ASR, NLU, dialog state management, tool calling, and TTS to create a natural, human-like conversation experience. LLM Orchestration & Tooling: Architect systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implement retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Design scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineer low-latency, streaming ASR + TTS pipelines and fine-tune turn-taking models for natural conversation. Model Tuning & Hallucination Control: Use fine-tuning, LoRA, or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Build robust observability, run real-time call QA pipelines, and analyze interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Work closely with product, infra, and leadership to scale this bot to thousands of US dealerships. What will make you successful in this role Architect-level thinking: You understand how ASR, LLMs, memory, and tools fit together and can design modular, observable, and resilient systems. LLM Tooling Mastery: You've implemented tool calling, retrieval pipelines, function calls, or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: You know how to chunk, embed, index, and retrieve and how to avoid prompt bloat and token overflow. Latency-First Mindset: You debug token delays, know the cost of each API hop, and can optimize round-trip time to keep calls human-like. Grounding > Hallucination: You know how to trace hallucinations back to weak prompts, missing guardrails, or lack of tool access and fix them. Prototyper at heart: You're not scared of building from scratch and iterating fast, using open-source or hosted tools as needed. What you must have 5+ years in AI/ML or voice/NLP systems with real-time experience Deep knowledge of LLM orchestration, RAG, vector search, and prompt engineering Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models Solid understanding of latency optimization, streaming inference, and real-time audio pipelines Hands-on with Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP) Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior