1351 Langchain Jobs

Responsibilities: Developing AI-powered servers and databases Designing intelligent user interactions and AI-enhanced interfaces Implementing agentic AI workflows and multi-step reasoning systems Deploying and maintaining production-grade AI systems

As a highly skilled Gen AI Engineer with 1 to 3 years of experience and hands-on expertise in building and deploying AI agents, you will be responsible for architecting, developing, and deploying intelligent agents that automate workflows, integrate with APIs and CRMs, and deliver real-time decision-making capabilities. - Design, build, and deploy AI agents using LangChain, LangGraph, OpenAI Assistants, and CrewAI. - Develop modular, scalable pipelines for retrieval-augmented generation (RAG), tool integrations, and multi-agent collaboration. - Integrate agents with databases, CRMs, APIs, and external systems. - Optimize prompt engineering, memory, and context management. - Implement LLM orchestration, error handling, and performance monitoring. - Collaborate with product and business teams to translate requirements into functional AI-driven workflows. - Stay updated on emerging AI frameworks, LLM models, and agent ecosystems. Required Skills & Experience: - Strong proficiency in Python (1+ years professional experience). - Hands-on experience with LangChain, LangGraph, OpenAI Assistants API, and CrewAI. - Proven track record of building and deploying AI agents in production. - Deep understanding of LLM concepts: embeddings, vector databases, RAG pipelines, prompt engineering. - Experience with API integration (REST, GraphQL, webhooks). - Familiarity with cloud platforms (AWS, GCP, or Azure). - Strong problem-solving and debugging skills. Nice-to-Have: - Experience with FastAPI for serving AI endpoints. - Knowledge of vector databases (Pinecone, Weaviate, Chroma, FAISS). - Exposure to multi-agent systems and orchestration frameworks. - Prior work on enterprise AI solutions (chatbots, automation agents, sales/marketing AI, etc.). - Contribution to open-source AI frameworks. In this role, you will have the opportunity to work on cutting-edge AI agent technologies in a collaborative environment with an AI-first mindset. The company offers a competitive salary, performance-based incentives, flexibility in working hours, and project ownership. Location: On-site (Ahmedabad, Gujarat) Employment Type: Full-time,

As a Generative AI Developer, your role will involve designing, building, and deploying solutions powered by Large Language Models (LLMs), multimodal AI, and prompt engineering. You will collaborate closely with product and engineering teams to integrate GenAI capabilities into real-world applications such as chatbots, copilots, content generation, and intelligent automation. Key Responsibilities: - AI/ML Development: - Fine-tune and optimize LLMs (GPT, LLaMA, Claude, etc.) for specific business use cases. - Build and deploy GenAI-powered applications like chatbots, copilots, summarization, Q&A systems, and generative content. - Experiment with multimodal AI involving text, image, audio, and video. - Prompt Engineering & Orchestration: - Design effective prompts and workflows to maximize model performance. - Work with frameworks like LangChain, LlamaIndex, and Haystack for retrieval-augmented generation (RAG). - Backend & Integration: - Develop APIs and services to integrate GenAI models into existing platforms. - Connect AI with structured and unstructured data sources. - Cloud & Deployment: - Deploy models on AWS, Azure, or GCP (SageMaker, Vertex AI, Azure OpenAI). - Implement scalable and cost-efficient inference pipelines. - MLOps & Performance: - Monitor AI models in production including latency, accuracy, and hallucination rates. - Implement continuous training, evaluation, and improvement workflows. Required Skills & Qualifications: - Strong programming skills in Python (Node.js/Java is a plus). - Hands-on experience with GenAI/LLMs (OpenAI, Anthropic, Hugging Face, Cohere, Stability AI). - Familiarity with LangChain, LlamaIndex, and RAG pipelines. - Knowledge of NLP, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS). - Experience with cloud platforms (AWS, Azure, GCP) and deployment of ML models. - Understanding of prompt design, fine-tuning, and model evaluation. - Solid grasp of APIs, microservices, and REST/GraphQL integrations. Preferred: - Experience with multimodal models (text-to-image, speech-to-text, etc.). - Exposure to containerization and orchestration (Docker, Kubernetes). - Knowledge of data privacy, security, and compliance in AI systems. - Prior work in AI-driven SaaS products. In this role, you will have the opportunity to contribute to cutting-edge projects in the field of Generative AI. If you have experience deploying applications or AI models on cloud platforms, familiarity with AI/ML frameworks, and working with CDN platforms for scaling applications, we encourage you to apply for this full-time position.,

Role Overview: You will be leading a high-impact engineering team in Abu Dhabi for a fast-scaling AI infrastructure startup. As the Technical Team Lead, you will have the opportunity to shape the technical culture, build a local team from scratch, and drive projects that involve LLMs, AI agents, and Retrieval-Augmented Generation (RAG) systems used globally. Key Responsibilities: - Build, mentor, and lead a growing engineering team in Abu Dhabi consisting of 3-10 members - Take ownership of delivering high-impact technical initiatives related to AI infrastructure, backend systems, and developer tooling - Serve as the technical liaison between the teams in Abu Dhabi, Tel Aviv, and NYC to ensure smooth collaboration - Be actively involved in coding tasks while also leading architectural decisions, sprint planning, and team development - Establish engineering best practices and cultivate a high-performance culture in a rapidly expanding environment Qualifications Required: - 12-17 years of experience in backend, infrastructure, or machine learning domains - Demonstrated leadership skills with at least 8 years of experience managing engineering teams in fast-paced environments - Proficiency in Python, FastAPI, and cloud-native systems such as AWS, Docker, and Kubernetes, along with CI/CD knowledge - Deep expertise in AI agent frameworks, LangChain, vector databases, and modern LLM APIs - Strong passion for fostering team collaboration, maintaining technical excellence, and coordinating across different time zones Additional Details (If available): The company is already generating over $3M in annual recurring revenue, serving more than 200,000 users, and has garnered over 5 million downloads. The tech environment includes backend technologies like Python and FastAPI, infrastructure tools like AWS, Docker, and Kubernetes, AI stack components such as LangChain, Pinecone/Weaviate, OpenAI, and Anthropic, and DevOps practices using GitHub Actions and CI/CD pipelines. The primary focus areas are developer tools, AI agents, and real-time search APIs. If you are a hands-on technical leader eager to make a significant impact at the intersection of AI and engineering scale, this role offers you the chance to become the face of engineering in a strategic location, work in a startup with impressive user metrics, and contribute to shaping a global tech presence from the ground up.,

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilities. Additionally, you will champion model performance, interpretability, and reproducibility across varied domains. Your contribution to reusable AI/ML tooling, pipelines, and best practices will play a significant role in improving development velocity. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers - Own the full ML lifecycle - Architect and implement models for various AI use-cases - Collaborate cross-functionally with product, engineering, and MLOps teams - Leverage LLMs and Retrieval-Augmented Generation - Champion model performance, interpretability, and reproducibility - Contribute to reusable AI/ML tooling and best practices **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field - 5+ years of hands-on experience developing and deploying ML models at scale - 2+ years of experience managing or mentoring data scientists or ML engineers - Proficiency in Python and familiarity with languages like Java - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering - Experience with model deployment tools and cloud ML platforms - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders At CDK, inclusion and diversity are fundamental values that inspire meaningful connections to people, customers, and communities. The company fosters an open, curious environment that encourages different views, allowing everyone to be their best selves and make a positive impact.,

As a talented and experienced Gen AI developer/specialist, you will play a key role in designing, developing, and implementing Gen AI solutions across various domains such as chatbots, IVR systems, and the banking sector. Responsibilities: - Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI API, Open Source LLMs (Llama2, Mistral, Mixtral), and frameworks like Langchain and Haystack. - Leverage your expertise in Transformer/Neural Network models and Vector/Graph Databases (Pinecone, Milvus, Neo4j) to build robust and scalable AI systems. - Integrate speech-to-text functionality using tools like Whisper/Google TTS to create user-friendly interfaces for chatbots and IVR systems. - Craft effective semantic search experiences by employing advanced techniques like HyDE, MMR, and LLM reranking. - Collaborate with cross-functional teams (product, engineering, design) to define project goals, identify use cases, and ensure seamless integration of Gen AI solutions into existing workflows. - Stay up-to-date on the latest advancements in Gen AI research and actively explore new tools and techniques to enhance our capabilities. - Document your work comprehensively to facilitate knowledge transfer and ensure project continuity. Qualifications: - Proven experience developing and deploying LLM-based applications. - Solid understanding of Transformer/Neural Network architectures and their application in Gen AI. - Hands-on experience with Vector/Graph Databases and their use in semantic search. - Experience integrating speech-to-text tools into AI systems. - Familiarity with OpenAI API, Open Source LLMs, and Gen AI frameworks like Langchain and Haystack. - Experience creating embeddings using MPNET and Ada models. - Proficiency in programming languages like Python (essential) and potentially others (e.g., Java, C++). - Excellent problem-solving, analytical, and critical thinking skills. - Strong communication and collaboration skills to work effectively in a team environment. - A passion for innovation and a desire to push the boundaries of what's possible with Gen AI. Bonus Points: - Experience in the chatbot, IVR, or banking domain. - Experience building Agentic Workflows.,

As an AI Solution Specialist at DHPL, you will play a crucial role in leading our internal AI initiatives. Your responsibilities will involve collaborating with internal departments to identify challenges and opportunities where AI can bring measurable value. This will include conducting discovery sessions with team leads and managers to understand departmental needs and workflows, researching and presenting relevant AI tools and trends, as well as prototyping and demonstrating AI use cases across various functions. You will also work closely with tech and data teams to support the implementation or integration of AI solutions, coach internal teams on the importance and impact of AI, and encourage idea generation and innovation in AI-related use cases. Qualifications required for this role include 3 to 5 years of experience in AI-focused roles, solution engineering, or innovation-led initiatives. You should have a strong understanding of AI/ML concepts and hands-on familiarity with tools like OpenAI, LangChain, or no-code/low-code AI platforms. Excellent communication and analytical thinking skills are essential, along with demonstrated experience in problem discovery, research, and solution design. Being proactive, self-driven, and able to manage cross-departmental initiatives effectively are key qualities for this position. Nice to have qualifications include experience with prompt engineering, API integrations, or building PoCs with AI models, knowledge of data pipelines, automation tools, or AI implementation in marketing and development environments, as well as a background in UI/UX thinking or change management. In addition to a competitive salary based on experience, DHPL offers health, dental, and vision insurance, opportunities for professional growth and development, and a dynamic and collaborative work environment. You will report to the IT Manager in India and the USA.,

As a Power Automate & GenAI Specialist at our Pune location, you will be responsible for executing and maintaining Power Automate (Cloud + Desktop) flows, supporting GenAI service integration into business processes, and building and integrating backend services using FastAPI. Your role will be aligned to Mid-Level, Senior-Level, or Lead-Level based on your skills and experience. Key Responsibilities: - For Mid-Level (3-5 years): - Execute and maintain Power Automate (Cloud + Desktop) flows - Support GenAI service integration into business processes - Build and integrate backend services using FastAPI - For Senior-Level (6-9 years): - Design and implement end-to-end Power Automate workflows - Develop and deploy custom GenAI-based services - Manage Azure service deployments and backend integrations - For Lead-Level (9+ years): - Own solution delivery and provide architecture input - Align with stakeholders and business leaders on automation strategy - Mentor teams, guide vendor resources, and ensure delivery quality Qualification Required: - Hands-on experience in Power Automate (Cloud + Desktop) - Knowledge of GenAI Suite including OpenAI, Gemini, LangChain - Experience with FastAPI for backend service integration - Familiarity with Vector Databases such as FAISS, Pinecone, Chroma - Proficiency in Azure Services like Functions, Blob, Key Vault, Cognitive APIs - Skill in Python for GenAI logic and FastAPI services - Application of OOPS Concepts in backend design and service development In addition to the technical qualifications, preferred qualifications for this role include experience in healthcare or insurance automation, exposure to RPA tools (UIPath preferred), knowledge of prompt engineering and LLM fine-tuning, and familiarity with CI/CD, Docker, Kubernetes (preferred for Lead-Level). Please ensure to clearly align your profile with the Mid/Senior/Lead roles, avoid profiles with only theoretical GenAI exposure, and highlight hands-on Power Automate experience in resume summaries. This is a full-time position with the work location being in person. If you are seeking an opportunity to leverage your expertise in Power Automate, GenAI integration, and Azure services to drive automation and innovation, we encourage you to apply for this role.,

We are looking for AIML - Lead / Associate Architect / Architects to Join us as early as possible Experience - 8+ years Location - Bangalore (Hybrid) Notice Period - 0 to 45 days Interview Process - 3 to 4 level interviews (One level will be In Person interview at Aziro Chennai / Bangalore / Noida / Pune Office) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

We are looking for Python + AIML Candidates to join us as soon as possible !! Key Skills : Python (Development / Programming Experience Must) + AIML (GenAI / Langchain / RAG / Semantic Search / LLM / NLP) Experience - 5 to 10 yrs Notice Period - Immediate to 45 Days Job Location - Bangalore (Hybrid) Interview Process : 3 to 4 level interviews (which will include one level In person interview from Chennai / Pune / Bangalore / Noida location) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

Role Overview: We are seeking an experienced Senior Data Scientist to lead data-driven initiatives, perform advanced exploratory data analysis, and build & deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain. Key Responsibilities: 8 to 10 years of experience in leading design and development of advanced ML and Generative AI models. Drive end-to-end data science projects from data preparation to deployment. Apply LLMs, transformers, and other GenAI techniques to business problems. Guide and mentor junior data scientists in technical delivery. Partner with stakeholders to translate business needs into AI solutions. Ensure scalability, performance, and reliability of deployed models. Stay current with GenAI advancements and evaluate adoption for the organization. Required Skills: Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Deep expertise in NLP, LLM fine-tuning, transformers, and GenAI frameworks. Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, GCP). Strong knowledge of data engineering concepts, feature engineering, and large-scale data handling. Experience with vector databases (FAISS, Pinecone, Weaviate) and orchestration tools (LangChain, LlamaIndex). Excellent problem-solving, communication, and leadership skills. Show more Show less

Job Overview Were looking for a Lead Data Scientist with a passion for both math and technology to join our growing Advanced Analytics group. This group writes the math and software to unlock the value in data assets while creating new and unique decision product offerings for customers. In this role, you will have the opportunity to work directly with the business innovation teams, marketing, sales and global customers along with expertise from Ecolabs Center for Advanced Analytics, to develop the data strategy and advanced analytics applications pipeline. You will have the opportunity to stay on the cutting edge of technology research and then to put your skills this research to practical use by building advanced data analytics science models your own software systems. You will be able to see the results of your efforts ripple throughout the company our systems in real-time. You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on the core metrics of the organization. Whats In It For You The opportunity to take on some of the worlds most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments The ability to make an impact and shape your career with a company that is passionate about growth The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best Actively engage with internal business teams to understand their challenges and deliver robust, data driven solutions. Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools. Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions. Network and collaborate with a broad range of internal business units to define and deliver joint solutions. Work alongside customers to leverage cutting edge technology (Generative AI, machine learning, streaming analytics and real big data) to creatively solve problems and disrupt existing business models. Key Responsibilities Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization&aposs long-term goals and evolving business needs Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making Develop and nurture relationships with business partners and stakeholders across the organization, ensuring effective collaboration and alignment on AI-driven projects Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, deployment, and monitoring practices Proactively manage project risks and mitigate potential issues, ensuring successful delivery and alignment with strategic goals Conduct pioneering research in emerging areas, integrating new technologies and methodologies to solve complex business problems Pre-Requisites 10+ years of experience in AI, Data Science or a related field, with a proven track record of leading and executing high-impact, technically complex projects Extensive expertise in advanced machine learning algorithms, deep learning, statistical modeling, and AI, with hands-on experience in cutting-edge techniques Mastery of programming languages such as Python, with extensive experience in advanced machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain, Transformers, OpenAI SDK, or Hugging Face) Advanced skills in SQL and hands-on experience with big data technologies Deep understanding of LLMs, prompt engineering, and transformer architectures Prior experience leading Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA Demonstrated expertise in MLOps practices, including model deployment, monitoring, and optimization at scale Outstanding communication skills, both written and verbal, with the capability to convey complex technical concepts to diverse audiences and influence executive decision-making Ability to manage and deliver multiple high-stakes projects simultaneously, with a deep understanding of how to align data science initiatives with overarching business objectives and strategies (Preferred) Masters degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research Our Commitment to a Culture of Inclusion & Belonging Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability. Show more Show less

As a Senior GenAI / Agentic AI Specialist with 6-8 years of overall experience in AI/ML, including at least 2 years of hands-on expertise in Generative AI and agentic AI systems, your role will involve working with advanced AI models, designing agent workflows, and integrating AI systems into enterprise environments with a focus on scalability, security, and responsible AI practices. Key Responsibilities: - Work with Generative AI technologies including LLMs, diAusion models, and enterprise applications. - Develop and optimize agentic workflows, including multi-agent collaboration and orchestration. - Design and implement Generative AI solutions tailored for enterprise use cases. - Integrate AI agents with APIs, databases, and cloud services. - Apply prompt engineering, context management, and memory handling in agent systems. - Ensure Responsible AI practices are implemented and adhered to. - Deploy AI agents into production environments. - Optimize scalability and performance of AI systems. - Implement robust security practices including IAM, AD, ADLDS, roles, and service accounts. Required Skills & Qualifications: - 6-8 years of overall experience in AI/ML, with at least 2 years in Generative and Agentic AI. - Expertise in generative AI models and prompt engineering techniques. - Proficiency in Python/Java-based AI libraries for developing GenAI applications. - Hands-on experience with agentic AI systems including autonomous agents, multi-step reasoning, and tool orchestration. - Experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, and Google ADK. - Practical exposure to MCP server implementation and agent-to-agent communication. - Experience designing and implementing retrieval-augmented generation (RAG) pipelines. - Experience building chatbots for platforms like Microsoft Teams or Slack. - Strong understanding and hands-on experience with vector databases. - Knowledge of context engineering. - Experience with reinforcement learning and fine-tuning LLMs. - Proven experience in building and deploying conversational chat applications. - Proficiency in containerization and orchestration using Kubernetes. - Experience working with SQL and NoSQL databases.,

You are a hands-on Full-Stack Developer with expertise in building and deploying modern web applications. Your role involves working on front-end interfaces and back-end services to create applications that integrate with Generative AI platforms. You will be responsible for designing, developing, and maintaining full-stack applications using ReactJS for the front end and NestJS with TypeORM for the back end. You will also build and deploy APIs and services with Azure Container Apps, integrate with Generative AI platforms using LangChain and LangGraph, and manage Cloudflare Worker integrations for performance and security. Your code should be clean, secure, and maintainable in TypeScript, following OWASP best practices. Collaboration across teams for scalable and compliant solutions, participation in code reviews, testing, and audits are also part of your responsibilities. - Design, develop, and maintain full-stack applications using ReactJS (front end) and NestJS with TypeORM (back end). - Build and deploy APIs and services with Azure Container Apps. - Integrate with Generative AI platforms using LangChain and LangGraph. - Develop and manage Cloudflare Worker integrations for performance and security. - Write clean, secure, and maintainable TypeScript code aligned with OWASP best practices. - Collaborate across teams to design scalable and compliant solutions. - Participate in code reviews, testing, and performance/security audits. - 4+ years of professional experience in full-stack development. - Proficiency in TypeScript and modern ReactJS (hooks, state management). - Strong back-end experience with NestJS (or similar Node.js frameworks) and TypeORM. - Experience deploying and managing apps on Azure (Container Apps, App Gateway, Key Vault). - Familiarity with LangChain, LangGraph, and GenAI integrations. - Experience building serverless or edge functions with Cloudflare Workers (or similar). - Knowledge of secure coding practices and OWASP security standards. - Familiarity with Git workflows and CI/CD pipelines. You have the opportunity to work with cutting-edge AI + cloud-native tools in a collaborative team culture with growth opportunities. The company offers competitive compensation and benefits, along with a flexible remote/hybrid work environment.,

How is this team contributing to vision of Providence Ensure a continual and seamless service for customers regardless of which services they access. What will you be responsible for End-to-end development and quality of solutions and services in conversational & Agentic AI capability Understanding and Implementing advanced techniques in Agentic AI & Conversational AI Frameworks. Introduce best practices in AI Frameworks. What would your day look like Lead the design and development of Agentic AI Frameworks, models and systems, ensuring high performance and scalability. Good in Python, RestAPI and data structure skills Fine-tune and optimize pre-trained large language models (LLMs) such as GPT, LLAMA, Falcon, and Mistral. Implement and manage model quantization techniques (e.g., GPTQ, AWQ, 8-bit/4-bit models) to enhance model efficiency. Utilize Langchain, Dagster etc for orchestration and memory management in agentic applications. Conduct thorough model evaluations using metrics such as BLEU, ROUGE, and perplexity to ensure model quality and performance. Develop and maintain systems for intent recognition, entity extraction, and generative dialogue management. Stay updated with the latest advancements in NLP and AI technologies and apply them to ongoing projects. Mentor and guide junior engineers, fostering a culture of continuous learning and innovation. Who are we looking for Minimum 6 years of experience in Programming Languages & AI Platforms Strong understanding of deep learning fundamentals, including LSTM, RNN, ANN, POS tagging, and Transformer models. Strong understanding and proficiency in Agentic AI Frameworks. Proven experience in fine-tuning pre-trained LLMs (e.g., GPT, LLAMA, Falcon, Mistral) and Quantization. Knowledge of model quantization techniques (GPTQ, AWQ, 8-bit/4-bit models). Proficiency in using orchestration frameworks, state and memory management. Experience with model evaluation metrics such as BLEU, ROUGE, and perplexity. Understanding of intent recognition, entity extraction, and generative dialogue management systems. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Good Understanding with Azure AI Foundary, Azure AI search, Indexing Knowledge in Kubernetes is good to have. Knowledge of Microsoft Event Hubs or Kafka Technologies Experience with load testing and unit testing tools. Proficient understanding source control and code versioning tools such as GIT, Azure DevOps etc. Familiarity with CICD and DevOps.

Role Overview: Join our Enterprise Technology division and help shape the future of staff productivity and automation through innovative Generative AI solutions. Our team collaborates with a team of skilled professionals dedicated to building secure, scalable, and cutting-edge technology platforms. Key Responsibilities: - Play a key role in harnessing data to drive strategic decision-making and deliver actionable insights across the organization. - Apply advanced statistical techniques, machine learning models, and data engineering practices to solve complex business challenges in areas such as risk management, customer experience, team assistant tools, and operational efficiency. - Proficiency in programming (Python, SQL) and familiarity with Gen AI frameworks (e.g., LangChain). - Expertise in fine-tuning large language models, prompt engineering, and optimizing RAG-based solutions. - Monitor, optimize, and ensure scalability/efficiency of AI models in production environments. - Strong communication skills to explain complex concepts and excellent problem-solving abilities in both independent and team settings. - Implement innovative tools, techniques, and frameworks to enhance AI and analytics capabilities. Qualifications Required: - Proficiency in programming (Python, SQL) - Familiarity with Gen AI frameworks (e.g., LangChain) - Expertise in fine-tuning large language models, prompt engineering, and optimizing RAG-based solutions - Strong communication skills and excellent problem-solving abilities Additional Company Details: At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. If you're excited about the role or working at Macquarie, we encourage you to apply. Macquarie offers a wide range of benefits including wellbeing leave, parental leave, company-subsidized childcare services, volunteer leave, comprehensive medical and life insurance cover, access to development opportunities, and hybrid and flexible working arrangements. Technology at Macquarie enables every aspect of the organization, connecting people and data, building platforms and applications, and designing tomorrow's technology solutions. Macquarie is committed to diversity, equity, and inclusion and provides reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements.,

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

Role Overview: As an AI Prototyping Engineer at Veya Technologies Pvt Ltd, you will be responsible for building conversational and voice-based AI prototypes using GPT, LangChain, Whisper, and vector databases. Your role will involve working closely with the founders to develop MVPs, evaluate tools, and document technical demos. Key Responsibilities: - Develop prototypes such as Therapy Bot, Voice Coach, Interviewer Bot, Legal Advice Bot, and HR Bot. - Integrate GPT APIs, LangChain, embeddings, Whisper, and vector DBs. - Evaluate build vs. buy tools for efficiency. - Document PoCs, maintain Git, and collaborate on MVPs. Qualifications: - Bachelor's degree in CS, AI/ML, Engineering, or a related field. - 1 year of experience in projects/internships is acceptable. - Interest in AI tools and rapid prototyping. Additional Company Details: Veya Technologies Pvt Ltd is a dynamic company specializing in Embedded Systems, Networking, IoT, Cloud, Apps, and AI solutions. The company fosters innovation and provides opportunities to grow in a collaborative environment. Joining Veya Technologies offers hands-on work with cutting-edge AI tech, an internship certificate with the chance for a full-time role, direct collaboration with founders, and a growth-focused culture with hybrid flexibility.,

Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI

We are hiring Vibe Coders to blend AI-assisted coding with traditional development. Role involves building applications, creating AI-driven tools, and deploying solutions that improve workflows across teams while ensuring code quality and security.

Job Summary We are seeking a highly skilled and motivated AI/ML Engineer specializing in Agentic AI to join our dynamic team. The ideal candidate will have a strong foundation in machine learning and a passion for building intelligent, autonomous agents. You will be responsible for designing, developing, and deploying sophisticated AI agents that can perform complex tasks, interact with their environment, and make intelligent decisions. This role will involve working with state-of-the-art large language models (LLMs) and agentic frameworks to create next-generation AI systems. Key Responsibilities Design and Develop AI Agents: Architect, build, and maintain autonomous AI agents capable of complex reasoning, planning, and tool use. LLM Integration and Fine-Tuning: Leverage and fine-tune large language models (LLMs) from providers like OpenAI, Google, and open-source alternatives to serve as the core of our AI agents. Framework Implementation: Utilize agentic AI frameworks such as LangChain, AutoGen, and CrewAI to structure and develop agentic workflows. Tool and API Integration: Develop and integrate tools and APIs to enable AI agents to interact with various data sources and external systems. Data and Knowledge Management: Implement and manage vector databases and knowledge graphs to provide agents with long-term memory and contextual understanding. Prototyping and Iteration: Rapidly prototype and iterate on new agentic AI concepts and applications. Collaboration: Work closely with cross-functional teams, including product managers, software engineers, and data scientists, to deliver high-quality AI solutions. Stay Current: Keep abreast of the latest advancements in agentic AI, LLMs, and machine learning to drive innovation within the company. Required Qualifications Bachelors degree in computer science, Artificial Intelligence, a related technical field, or equivalent practical experience. Proven experience in designing and developing AI/ML models and systems. Strong programming skills in Python and familiarity with common machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience with large language models (LLMs) and related concepts like prompt engineering and fine-tuning. Familiarity with agentic AI concepts and frameworks (e.g., LangChain, AutoGen). Experience with data storage and retrieval systems, including vector databases (e.g., Pinecone, Weaviate). Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.

AI Models: Leverage large language models for natural language understanding and multimodal response generation.RAG Layer: Implement a vector search system to enhance search accuracy and relevance Agentic Framework Design and develop

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

Job Overview We are seeking a highly experienced Senior/Lead AI Developer with extensive expertise in the latest Generative AI (GenAI), Agentic AI, and other cutting-edge artificial intelligence technologies . The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments.This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology . Required Qualifications Experience: Extensive industry experience in AI development , with a strong portfolio demonstrating proficiency in Generative AI and Agentic AI applications . Technical Skills: AI Frameworks & Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch ) and familiarity with emerging Generative AI platforms. Programming Languages: Proficiency in Python ; exposure to Rust or C++ is a plus. Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. Full Stack Development: Strong experience in frontend and backend development . API Development: Proven experience in developing REST APIs for scalable applications. AI Agent Development: Practical experience with LangChain, LangFlow , and similar frameworks. Model Training & Finetuning: Hands-on experience in training, fine-tuning, and deploying AI/ML models . Cloud Expertise: Familiarity with AWS or GCP cloud environments for deploying AI workloads. Protocols: Worked with advanced protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. Core Competencies: Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. Excellent communication skills for effective collaboration across diverse teams. Familiarity with Agile methodologies and best practices in software development. Interested can drop your CV to bhavani.tirumunadam@cloudangles.com or call us on 9100430249

Company: Technodysis Pvt Ltd Location: Bangalore Experience: 6 - 8 Years Notice Period: Immediate Joiners Preferred Job Description: We are seeking a Technical Lead AI Development to lead AI solution design and implementation. This role requires technical leadership in architecting LLM-based AI workflows and mentoring developers. Key Responsibilities: Lead a team/module in building AI-driven applications Architect solutions using LLMs and agentic frameworks Provide guidance on AI model design, prompt engineering, and fine-tuning Integrate APIs, tools, and external systems with AI agents Ensure high-quality coding standards, version control, and CI/CD practices Collaborate with cross-functional teams for solution delivery Mentor developers and promote innovation in AI/ML practices Required Skills & Qualifications: Bachelors/Masters degree in Computer Science, AI, or related field 5 - 8 years in AI/ML development with 12 years in a lead role Strong programming expertise in Python, TensorFlow, PyTorch Proven experience with LLMs, prompt engineering, and fine-tuning Proficiency in frameworks like LangChain, AutoGen, CrewAI Knowledge of vector databases and knowledge graph-based systems Strong leadership, communication, and mentoring skills If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com