679 Langchain Jobs - Page 10

Senior Engineer (GenAI & Prompt Engineering) Company : Xebia | Job Type : Fulltime| Location : Hybrid Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram (India) Job Summary Xebia is hiring an experienced GenAI Engineer to lead initiatives embedding LLMs into internal DevOps and Engineering workflows. This is a hands-on opportunity for AI engineers with strong Python and prompt engineering skills. Key Responsibilities Design and optimize LLM prompts for contextual accuracy Build RAG architectures using FAISS, Pinecone, Weaviate , etc. Integrate LLMs into CI/CD pipelines, dashboards, internal tools Use LangChain, LlamaIndex, HuggingFace, Haystack frameworks Fine-tune LLMs (OpenAI, Claude, Cohere, Mistral) for enterprise use cases Ensure compliance, security, and performance of AI systems Collaborate across teams to identify automation opportunities Required Skills & Experience 6-10 years total experience with 2+ years in GenAI/LLM/NLP systems Strong in Python, vector DBs, embedding techniques Hands-on with LLM APIs , GenAI libraries, and NLP concepts Prior experience building contextual AI agents or CI/CD automation using LLMs Nice to Have Familiarity with multi-modal models , DevSecOps, Kubernetes Experience with developer-facing GenAI use cases (log triage, changelogs, copilots) Other Details Mode : Hybrid (3 days a week in-office) Locations : Chennai / Bangalore / Hyderabad / Pune / Jaipur / Bhopal / Gurugram Notice Period : Immediate to max 2 weeks Contract Role To Apply Send the following details to vijay.s@xebia.com : Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location Notice Period / Last Working Day Primary Skills LinkedIn Profile Keywords : GenAI, Prompt Engineering, RAG, LangChain, Python, FAISS, LLM, LangChain, Vector DB, HuggingFace, LlamaIndex, CI/CD, Automation, DevOps, AI, NLP

Job Title: Python, Machine Learning & GenAI Specialist Company: Tekskills Location: Bengaluru, India Contact: shailender.b@tekskills.in Job Summary We are seeking a dynamic and experienced professional with 5+ years of hands-on expertise in Python, Machine Learning, and advanced experience in Deep Learning and Generative AI (GenAI) . This role is ideal for candidates passionate about solving complex problems, driving innovation, and implementing next-gen AI solutions for real-world applications. Key Responsibilities Design, develop, and deploy robust solutions leveraging Core Python , standard libraries, and frameworks. Build and optimize end-to-end machine learning and deep learning models for production use. Architect and implement GenAI-powered applications utilizing: Vector Databases, Langchain, Langgraph, RAG, and MCP. Integrate external data sources and APIs, and build scalable pipelines for AI model deployment. Collaborate with internal teams to translate business requirements into cutting-edge AI features. Conduct model evaluations, fine-tuning, and support ongoing model monitoring. Mentor and guide team members and contribute to best practices within the AI community. Required Skills & Qualifications Minimum 5 years of professional experience in Python development, with a focus on machine learning and deep learning. Strong understanding of core ML concepts , with proven project delivery using frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in deep learning (CNNs, RNNs, LLMs/Transformers, or similar architectures). Demonstrable expertise in GenAI tools (Vector Databases, Langchain, Langgraph, Retrieval Augmented Generation (RAG), MCP). Introductory knowledge of AI Agents and their integration in larger workflows. Solid understanding of model deployment, API integration, version control, and containerization. Excellent communication, problem-solving skills, and a collaborative mindset. Preferred Qualifications Experience deploying AI/ML solutions in production at scale. Familiarity with cloud AI services (AWS Sagemaker, Azure ML, GCP, etc.). Exposure to LLM fine-tuning, prompt engineering, or knowledge of autonomous agent systems. How to Apply Interested candidates should submit their CV to shailender.b@tekskills.in with the subject line: Application for Python, Machine Learning & GenAI Specialist Bengaluru Join our innovative team at Tekskills and transform the future of AI-driven solutions!

Role & responsibilities Strong experience in core Python in Application Development AWS-AWS Application development experience(Backend Services Development) AWS Services: API Gateway, Lambda Functions, Step Functions, EKS/ ECS/ EC2, S3, SQS/SNS/ EventBridge, RDS, Cloudwatch, ELB System Design-LLD(Low level Design document) using OOps, SOLID and other design principles. Gen AI- Nice to have( Knowledge of LLMs, RAG, Finetuning, LangChain , Prompt Engineering Experience in working with Stakeholders, (Business, Technology) for requirement refinement to create acceptance criteria HLD and LLD Hands on in designing (competent with designing tools like draw.io/ Lucid/ Visio etc) and developing End to End tasks Handson with alteast one RDBMS (Postgresql/ MYSQL/ Oracle DB ), Knowledge of ORM (SQLalchemy). Good to have: Mongo DB/ Dynamo DB. Excellent communication skills(Written & Oral)

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. It is essential to have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, delivering products with cloud services and cloud architectures at scale. In addition, you should have 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Furthermore, 1+ years of experience with Playbooks and Vertex AI is required for this role. Exposure to ADK (hands-on) and Voice AI is a must. While not mandatory, having experience with LangChain and/or LangGraph is considered a plus. Additionally, 4+ years of Contact Center industry experience would be advantageous, including design, development, testing, integration with vendors, CRMs, and business applications. Proven knowledge in contact center subdomains such as IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, customer journey, and CX/AX experience optimization using AI/ML is beneficial. Moreover, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services is a good-to-have skill set. Experience with Deep Domain Driven Design with cloud-native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies for at least 2 years is also an added advantage. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. Being a part of NTT DATA means being part of a diverse team of experts in over 50 countries, with a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website for more information.,

You will be joining a renowned consulting firm known for being consistently ranked as one of the world's best places to work. The company has maintained a top position on Glassdoor's Best Places to Work list since 2009, emphasizing the importance of extraordinary teams in their business strategy. By intentionally bringing together diverse backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment, they ensure that every individual can thrive both professionally and personally. As part of the Application Engineering experts team within the AI, Insights & Solutions division, you will collaborate with a multidisciplinary group of professionals including analytics, engineering, product management, and design experts. Your role will involve leveraging deep technical expertise along with business acumen to assist clients in addressing their most transformative challenges. Working in integrated teams, you will develop data-driven strategies and innovative solutions to drive competitive advantage for clients by harnessing the power of data and artificial intelligence. Your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to define and implement analytics features, utilize Kubernetes and containerization technologies for deployment, develop APIs and microservices, ensure robust security measures, monitor application performance, contribute to coding standards, stay updated on emerging technologies, automate deployment processes, and collaborate closely with clients to assess opportunities and develop analytics solutions. To qualify for this position, you are required to have a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6 years of experience at a Senior or Staff level. Proficiency in client-side and server-side technologies, cloud platforms, Python, Git, DevOps, CI/CD, and various other technical skills is necessary. Additionally, strong interpersonal and communication skills, curiosity, proactivity, critical thinking, and a solid foundation in computer science fundamentals are essential for this role. This role also requires a willingness to travel up to 30% of the time. If you are looking for an opportunity to work in a collaborative and supportive environment, continuously learn and grow, and contribute to developing cutting-edge analytics solutions for clients across different sectors, this position may be the perfect fit for you.,

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experience, possessing expertise in machine learning (ML) and Large Language Models (LLM) skill set to join our team in Indore, Madhya Pradesh. Roles and Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). Skills: - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. Nice to have experience: - Deep Learning - MLOps - SQL Qualifications: - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,

The role involves building intelligent agents powered by LLMs like GPT, automation tools such as n8n, Loveable, LangChain, Supabase, and external APIs. If you are passionate about AI workflows, prompt engineering, autonomous agents, and real-world use cases, this position is ideal for you. You will be responsible for building and deploying AI agents that utilize LLMs for autonomous decision-making. Additionally, you will integrate APIs, databases, and business logic into agent workflows. Developing RAG (Retrieval Augmented Generation) pipelines using vector databases like Pinecone, Supabase, and Weaviate, fine-tuning and optimizing prompts for specific tasks or domains, and collaborating with product and engineering teams to create real-world automation solutions will also be part of your role. The required skills for this position include hands-on experience with GPT APIs, OpenAI, Gemini, or similar LLMs, familiarity with n8n, LangChain, AutoGen, or similar agent frameworks, a strong understanding of JSON, APIs, webhooks, and asynchronous data flows, as well as experience in Python or JavaScript (Node.js). Bonus points will be awarded for knowledge of Supabase, Pinecone, Redis Vector, experience in deploying agents via web or mobile interfaces, and a background in workflow automation or chatbot development. If you are excited about working with cutting-edge technologies in AI and automation, and if you possess the required skills and bonus points, we encourage you to apply for this role.,

The company Flentas specializes in assisting enterprises in maximizing the benefits of the Cloud through their consulting and implementation practice. With a team of experienced Solution Architects and Technology Enthusiasts, Flentas is dedicated to driving significant digital transformation projects and expanding cloud operations for clients worldwide. As a Generative AI Specialist at Flentas, based in Pune, you will be responsible for implementing and optimizing cutting-edge AI solutions. Your role will involve utilizing LangChain, LangGraph, and agentic frameworks, along with hands-on experience in Python and cloud-based AI services such as AWS Bedrock and SageMaker. Additionally, experience in fine-tuning models will be advantageous as you collaborate with the team to develop, deploy, and enhance AI-driven applications. Key Responsibilities: - Designing, developing, and implementing AI solutions using LangChain, LangGraph, and agentic frameworks. - Creating and maintaining scalable AI models utilizing AWS Bedrock and SageMaker. - Building and deploying AI-driven agents capable of autonomous decision-making and task execution. - Optimizing machine learning pipelines and workflows for production environments. - Collaborating with cross-functional teams to understand project requirements and deliver innovative AI solutions. - Conducting fine-tuning and customization of generative AI models (preferred skill). - Monitoring, evaluating, and improving the performance of AI systems. - Staying updated on the latest advancements in generative AI and related technologies. Required Skills: - Proficiency in LangChain, LangGraph, and agentic frameworks. - Strong programming skills in Python. - Experience with AWS Bedrock and SageMaker for AI model deployment. - Knowledge of AI and ML workflows, including model optimization and scalability. - Understanding of APIs, data integration, and AI-driven task automation. Preferred Skills (Good To Have): - Experience with fine-tuning generative AI models. - Familiarity with cloud-based architecture and services beyond AWS (e.g., GCP, Azure). - Knowledge of advanced NLP and transformer-based architectures. Qualifications: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. - 3-5 years of hands-on experience in AI development, focusing on generative models. - Demonstrated experience in deploying AI solutions in a cloud environment.,

YASH Technologies is a leading technology integrator that specializes in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you will be part of a team of bright individuals working with cutting-edge technologies. The core purpose at YASH is to bring real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are currently seeking UIPath Professionals for the following areas: Key Responsibilities: - Design and develop applications using LangChain to integrate Large Language Models (LLMs) for use cases such as chatbots, summarization, and content generation. - Build scalable back-end systems using Python, integrating LLMs with external APIs, databases, and vector stores. - Implement Retrieval-Augmented Generation (RAG) pipelines for context-aware responses. - Develop prompt templates and memory modules to optimize LLM interactions. - Collaborate with cross-functional teams to deliver end-to-end AI solutions. - Ensure performance, scalability, and reliability of deployed applications. Required Skills: At YASH, you have the opportunity to create a career path that aligns with your goals while working in an inclusive team environment. We emphasize career-oriented skilling models and leverage technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is built on four principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All support needed for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture.,

As an AI Engineer at YASH Technologies, you will have the opportunity to utilize your 24 years of experience in the field to make a significant impact. You will be a part of a team that is dedicated to leveraging cutting-edge technologies to drive business transformation and deliver exceptional stakeholder experiences. Your primary responsibility will be to build and deploy machine learning models for classification, regression, and clustering tasks. You will also apply foundational GenAI concepts such as embeddings, summarization, and RAG, using tools like LangChain and vector databases. Additionally, you will be expected to prepare documentation and interpret results to drive actionable insights. To excel in this role, you must have strong hands-on experience in Python, Scikit-learn, and Pandas. Knowledge of model evaluation, feature engineering, and model tuning is essential, along with exposure to LangChain and vector databases. Basic familiarity with FastAPI or Flask is also preferred. At YASH, we believe in empowering our employees to shape their careers while working in a collaborative and inclusive environment. We provide career-oriented skilling models and opportunities for continuous learning, unlearning, and relearning at a rapid pace. Our Hyperlearning workplace is guided by principles such as flexible work arrangements, open collaboration, support for business goals, and a stable employment environment with an ethical corporate culture. Join us at YASH Technologies and be a part of a team that is driving positive changes in an increasingly virtual world.,

The Data Science Analyst role at Citi within the GWFO team is a developing professional position that involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The main responsibilities include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, the individual in this role will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. As a Data Science Analyst at Citi, you will be expected to: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends and provide insights to enhance business decision-making capabilities in various areas. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and effectively communicate findings to business partners and senior leaders. - Continuously explore and evaluate new data sources, tools, and capabilities, focusing on cutting-edge AI technologies to improve processes and strategies. - Collaborate closely with internal and external business partners to build, implement, track, and enhance decision strategies. Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Other skills required include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. Education: - Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred. Working at Citi offers more than just a job - it means joining a global family of dedicated individuals where you can grow your career, contribute to your community, and make a real impact.,

As a visionary technical co-founder, you will combine engineering excellence with philosophical depth to embark on the journey of building something rare, intelligent, and deeply rooted. You will be driven by first-principle problem solving and AI that reasons instead of merely responding. Your role will involve leading the technical architecture of a foundational AI product while embodying the qualities of humility to listen and the conviction to build. Your core responsibilities will revolve around spearheading the design, development, and iteration of VIKAS AI's reasoning engine. This will include building and fine-tuning LLMs, integrating RAG pipelines, and designing multi-agent systems. You will architect systems that strike a balance between cultural depth, emotional nuance, and technical performance. Collaborating closely with the team, you will shape core product features such as culturally intelligent LLMs, an aesthetically curated image engine, and a short-form AI news video layer. Additionally, you will co-create the technical roadmap, hire the early team, and oversee the infrastructure. To excel in this role, strong experience in machine learning, NLP, and LLMs is essential. You should be proficient with Transformers, LangChain, HuggingFace, or similar frameworks and possess solid knowledge of Python, vector databases, and inference infrastructure. Experience with RAG (Retrieval-Augmented Generation) and agent-based architectures, as well as familiarity with embedding models, fine-tuning, and prompt engineering, will set you up for success. An added advantage would be an interest in Indic language modeling or symbolic reasoning, experience in building low-latency, high-context systems, and an eye for clean code, ethics, and culture. Beyond your technical skills, your philosophical outlook and values will play a crucial role in defining who you are as a builder-philosopher. Your commitment to cultural intelligence, ethical AI, and context-aware systems will be evident as you strive to bridge the gap in current AI capabilities. You will prioritize truth over hype, depth over speed, and alignment over noise, reflecting a holistic approach to your work. In return for your contributions, you will receive co-founder status with meaningful equity, the opportunity to be at the forefront of building a product with global potential and local essence, complete creative and architectural freedom to innovate from the ground up, and the guidance of a visionary founder who is relentless, clear, and deeply committed. This role offers you the chance to not just follow existing trends but to redefine the narrative by putting India on the map through innovative thinking and impactful solutions. If you are intrigued by this opportunity and resonate with the vision outlined, feel free to reach out by DM or email at vikasai150807@gmail.com. Let's engage in conversations that transcend mere features and delve into shaping promising futures.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

As an AI Architect, you will be responsible for designing and deploying scalable, autonomous AI systems that seamlessly integrate with cloud platforms and enterprise workflows. Your role will involve leading AI strategy, evaluating emerging frameworks, and optimizing AI models for real-world applications, all while driving innovation in agentic AI. You will be tasked with architecting scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making. Additionally, you will provide technical leadership by guiding AI engineers and data scientists in implementing advanced architectures such as LLMs and multi-agent frameworks. Deployment of AI solutions on cloud platforms like AWS SageMaker, Azure ML, or Vertex AI, and utilizing tools like LangChain, AutoGPT, or Autogen will also be part of your responsibilities. Your role will also involve fine-tuning LLMs and AI models for domain-specific tasks such as real-time analytics and adaptive automation. You will prototype emerging AI architectures like neuro-symbolic systems and self-improving agents for production viability, and ensure system robustness through stress testing, bias mitigation, and compliance with ethical AI standards. Collaborating with stakeholders to align AI initiatives with business goals and advocate for AI-driven innovation will also be crucial. To excel in this role, you should have a minimum of 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks. Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools like SageMaker and Vertex AI is essential. A strong background in autonomous agents, multi-agent systems, and AI optimization is required. Experience with frameworks like LangChain, AutoGPT, or similar is a plus. You should also possess the ability to translate research into production-ready architectures, along with excellent communication and leadership skills. Join us at CoinFantasy, a revolutionary Play to Invest platform that offers a risk-free sandbox environment for exploring the end-to-end investment journey. As part of our innovative team, you will be pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Shape the future of finance and technology with us! Benefits of joining us include a competitive salary, performance incentives, being part of the Core Team in a fast-growing company, fulfilling and challenging work with real impact on the product, and unlimited growth opportunities both professionally and personally.,

Qualcomm India Private Limited is looking for a Lead Conversational AI Developer to join the Intelligent Automation Center (IAC) team. As a Lead Conversational AI Developer, you will be responsible for designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI. You should have hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search, and Azure OpenAI. Additionally, you will be utilizing Generative AI in projects and should have a strong expertise in Python for building bot solutions. Furthermore, you will be working with Azure Cognitive Services, Power Automate, Azure Logic Apps, and APIs to enhance Copilot Agent and bot functionalities. You should have experience in software development focusing on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit is required. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform is also essential. Responsibilities include ensuring the quality of coded components through unit testing, collaborating with test teams for product testing and UAT, reporting status, issues, and risks to tech leads, improving skills in automation products through certifications, and training team members on Conversational AI related technologies. You should be able to work independently with minimal supervision, possess good team management skills, and have excellent communication and collaboration skills. Minimum qualifications include 4+ years of work experience in programming, scripting, and/or automation with a Bachelor's degree or 6+ years of relevant work experience without a Bachelor's degree. Additionally, you should have 2+ years of experience with Database Design structures such as Mongo DB and MySQL. Knowledge of conversational AI, Intelligent Automation methodologies, Process Mining concepts, and experience in business process diagrams and process flow charts are required. Applicants should have a Bachelor's degree and at least 5 years of IT-relevant work experience. Certification in Industry Leading Robotic Automation products, experience in Agile development, and cloud experience are considered a plus. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/TbiZ5o9oN2ZtJSpKA 5+ years of experience as a backend or full-stack developer, with strong focus on backend systems. Advanced proficiency in Python, including building scalable, production-grade applications. Hands-on experience integrating large language models (LLMs) using tools like LangChain, LangGraph, RAG pipelines, or similar frameworks. Proven track record of deploying LLM-based systems in real-world production environments (beyond just chatbots or academic projects). Good understanding of machine learning engineering concepts (preferred but not mandatory). Strong expertise in designing robust APIs and backend services, including async processing and microservices. Solid knowledge of deployment workflows, CI/CD, cloud infrastructure, observability, and performance optimization. *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply. Must possess strong communication skills , both written and verbal. Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting

Deliver genAI features, AI Agents and Product Infra features e2e on AWS or Azure Cloud Demonstrate resilience in driving past rigorous test cycles to verify success of genAI features. Leverage Copilot/Cursor to maximize efficiency in dev cycle Required Candidate profile 5+ y SW dev. in Python, AWS or Azure 1+ y - LLM APIs, Prompt Eng, RAG, Self Learning AI Agents, Embeddings, Vector DBs, Langgraph, Langchain (Desirable) Exp in NLP, AI/ML FWs: TensorFlow, SageMaker

We are looking for a passionate and experienced Full Stack Developer with Python expertise to join our core product development team. This role is perfect for someone who has independently built or led full stack projects and has the leadership potential to guide other developers. If you're excited about AI tools like ChatGPT , Claude , GitHub Copilot , and Tabnine , and want to build smart, scalable web applications is the opportunity for you. Responsibilities:- Develop, maintain, and scale full-stack applications using React.js, Next.js, Node.js, TypeScript, and Python Integrate AI APIs (OpenAI, Claude) and build custom chat interfaces and intelligent workflows Apply prompt engineering techniques to enhance AI accuracy and UX Work with LangChain, AutoGen, Manus for building advanced AI-driven applications Leverage AI-native coding tools like GitHub Copilot, Cursor, Tabnine, Replit for efficient development Collaborate closely with UI/UX designers, backend teams, and AI researchers Optimize applications for performance, scalability, and cross-platform compatibility Deploy applications using tools like Vercel, Supabase, Railway, and orchestrate flows using n8n Actively participate in Agile/Scrum ceremonies and sprint plannin g Required Skills:- 45 years of hands-on experience in full-stack development Strong proficiency in JavaScript , React , Next.js , Node.js , TypeScript, Python Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants ( GitHub Copilot, Amazon Q , Tabnine , etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Tech Stack You’ll Use: Frontend: React, Next.js Backend: Node.js, Express, Python Database: PostgreSQL (hosted or via Supabase) AI Tools: OpenAI, Claude, LangChain, AutoGen, Manus Dev Tools: GitHub, Cursor, Replit, GitHub Copilot, Tabnine Automation & DevOps: n8n, Railway, Vercel Why Join Us? Be at the forefront of real-world AI innovation Work on cutting-edge AI + web technology Join a talented, collaborative, and forward-thinking team Gain growth opportunities in a fast-evolving tech space Contribute to exciting projects that make an impact

Job Title: Machine Learning Engineer Generative AI / LLMs Experience: 5 to 8 Years Location: Pune / Bangalore (Hybrid) Employment Type: Full-Time / Permanent About Claidroid Technologies Pvt. Ltd.: Claidroid Technologies is a fast-growing IT consulting company delivering next-gen digital transformation services. We specialize in Enterprise Service Management (ESM), Identity & Access Management (IAM), Cloud & DevOps Consulting, and Digital Automation. With teams across India and the USA, we offer a collaborative work culture where innovation is encouraged and performance is recognized. Our clientele includes leading global enterprises across industries such as banking, healthcare, retail, and telecom. Key Responsibilities: Design and deploy scalable Machine Learning and Generative AI solutions. Work with LLMs (GPT-4, Gemini, Mistral) and develop RAG pipelines. Implement solutions using Langchain, LangGraph, and Prompt Engineering. Integrate Azure OpenAI and Azure AI Search for GenAI applications. Develop MLOps workflows using Azure ML, PromptFlow, or SageMaker. Collaborate with cross-functional teams to operationalize AI capabilities. Required Skills: Core ML: Python, scikit-learn, TensorFlow, PyTorch, XGBoost GenAI & NLP: GPT-4, Langchain, RAG, Prompt Engineering Cloud & MLOps: Azure OpenAI, Azure ML, Docker, FastAPI Data Tools: SQL, PostgreSQL, Pandas, NumPy, Matplotlib Good to Have: Experience with Azure Bot Framework, SharePoint indexing Exposure to domains like finance, healthcare, or HR tech Education: B.E. / B.Tech / M.Tech in Computer Science, Data Science, or related disciplines Preferred Certifications: Azure Data Scientist Associate, Azure AI Engineer Why Join Claidroid: Work on high-impact AI/GenAI initiatives Collaborate with global enterprise clients Fast-paced and innovation-oriented environment Application Details: Interested candidates should share their updated resume along with the following details: Total Experience Relevant Experience in Machine Learning and GenAI Current CTC Expected CTC

Location : Bengaluru Employnment : Contractual Key Skills Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: B uilding scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency

Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 2 to 8 years of experience in full stack software engineering. Proven experience in building AI chatbots and deploying Agentic AI solutions. Hands-on experience with Retrieval-Augmented Generation (RAG) techniques. Proficient in programming languages such as Python, JavaScript, or similar. Experience with AI frameworks and tools such as LangChain, LlamaIndex, LangGraph, MS Autogen2, Google ADK, PydanticAI, crewAI or similar. Strong understanding of front-end technologies like React, Angular, or Vue.js. Strong understanding of backend-end technologies like FastAPI, Flask, Django etc Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Experience in agile development methodologies. Knowledge of machine learning algorithms and data structures. Strong communication and collaboration skills. Ability to work in a fast-paced, dynamic environment.

Job Title: AI Engineer Location: Chennai Experience: 2-4 years Employment Type: Full-Time Job Summary: We are seeking an AI Engineer with strong proficiency in Python and hands-on experience in building AI-powered applications. The ideal candidate should have experience working with FastAPI, Langchain, and Pydantic, along with a solid understanding of Generative AI concepts, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, integrate, and optimize AI-powered applications using FastAPI and Langchain. Design and deploy APIs using FastAPI with Pydantic for data validation. Implement and fine-tune solutions leveraging Large Language Models (LLMs). Build and optimize Prompt Engineering pipelines for LLM interactions. Design and implement Retrieval-Augmented Generation (RAG) solutions for enhanced contextual responses. Collaborate with data scientists, product managers, and engineers to deliver high-quality AI applications. Continuously research and experiment with advancements in Generative AI technologies. Key Skills & Technologies: Programming: Python (Intermediate to Advanced) Frameworks & Libraries: FastAPI (API development) Langchain (LLM integrations & workflows) Pydantic (Data validation and settings management) AI/ML Concepts: Generative AI (Basics) Large Language Models (LLM) Understanding architecture, capabilities, and limitations Prompt Engineering – Techniques for effective LLM interactions Retrieval-Augmented Generation (RAG) – Building hybrid retrieval-generation systems Version Control: Git, GitHub/GitLab CI/CD: Familiarity with deployment pipelines (optional) Preferred/Optional (Good to Have): Experience with AI Agent Frameworks such as: LangGraph CrewAI Knowledge of Vector Databases (e.g., FAISS, Chroma) Cloud Platforms (AWS, Azure, GCP) Containerization (Docker)

Location : Bengaluru (Hybrid) Job Description: We are looking for a skilled and detail-oriented MLOps Engineer with 3+ years of experience to join our ML engineering team. The ideal candidate will be responsible for ensuring seamless model deployment, monitoring, scalability, and performance tuning in production environments. You should be hands-on with Python , Databricks , mlFlow , Seldon , and experienced in cloud-based deployments (AWS). You will also contribute to prompt engineering and LLM app development using Langchain , and help productionize recommendation algorithms and other ML applications. Key Responsibilities: Manage the end-to-end lifecycle of ML models: development, deployment, monitoring, and scaling Work with Databricks , mlFlow , and Seldon for ML workflow orchestration and model management Perform ML load testing , ensure model scalability , and handle job monitoring in real-time environments Develop and maintain LLM-based applications using Langchain and prompt engineering techniques Deploy, monitor, and manage ML models in AWS or other cloud platforms Support recommendation algorithms and other ML solutions in production Collaborate with data scientists, ML engineers, and DevOps teams to ensure seamless integration Communicate clearly and effectively with stakeholders across tech and non-tech teams Must-Have Skills: Python Databricks mlFlow Seldon ML Load Testing, Model Scalability, Job Monitoring Prompt Engineering & LLM App Development (Langchain) AWS / Cloud Deployments Recommendation Algorithms, Production ML Deployment Excellent Communication Skills