662 Langchain Jobs - Page 2

???? Were Hiring: AI Engineer ???? Location: Bengaluru (Regular office-based role) ???? Employment Type: Full-Time | 5 Days a Week from Office ???? Qualification: B.E / B.Tech or equivalent degree in Computer Science, IT, or related field Are you passionate about building and scaling production-grade AI/ML systems We&aposre looking for a skilled AI Engineer to join our team in Bengaluru and help drive real-world impact through cutting-edge machine learning and GenAI technologies. ???? Must-Have Skills: 48 years of hands-on experience in designing, building, and deploying production-grade AI/ML solutions Proficiency in Python, PySpark, SQL , and ML libraries like Scikit-learn, XGBoost, LightGBM Cloud-native ML development experience on AWS (SageMaker), GCP (Vertex AI), or Azure ML Strong background in NLP/GenAI frameworks: Hugging Face, LangChain, LlamaIndex Practical knowledge of MLOps tools (MLflow, Weights & Biases, DVC) and deployment frameworks ( FastAPI, Flask, Docker, Kubernetes ) Excellent communication, stakeholder engagement, and team collaboration skills Good-to-Have: Publications, blog posts, or open-source contributions in AI/ML Experience leading AI strategy or owning technical roadmaps Show more Show less

Job Title: AI Research Engineer Intern (Fresher) Reporting to: Lead Research & Innovation Lab Location: remote/ Hybrid (Chennai, India) Engagement: 6-month, full-time paid internship with pre-placement-offer track 1. Why this role exists Stratsyn AI Technology Services is turbo-charging Stratsyns cloud-native Enterprise Intelligence & Management Suite a modular SaaS ecosystem that fuses advanced AI, low-code automation, multimodal search, and next-generation Virtual workforce agents. The platform unifies strategic planning, document intelligence, workflow orchestration, and real-time analytics, empowering C-suite leaders to simulate scenarios, orchestrate execution, and convert insight into action with unmatched speed and scalability. To keep pushing that frontier, we need sharp, curious minds who can translate cutting-edge research into production-grade capabilities for this suite. This internship is our talent-funnel into future Research Engineer and Product Scientist roles. 2. What youll do (core responsibilities) % FocusKey Responsibility 30 %Rapid Prototyping & Experimentation implement state-of-the-art papers (LLMs, graph learning, causal inference, agents), design ablation studies, benchmark against baselines, and iterate fast. 25 %Data Engineering for Research build reproducible datasets, craft synthetic data when needed, automate ETL pipelines, and enforce experiment tracking (MLflow / Weights & Biases). 20 %Model Evaluation & Explainability create evaluation harnesses (BLEU, ROUGE, MAPE, custom KPIs), visualize error landscapes, and generate executive-ready insights. 15 %Collaboration & Documentation author tech memos, well-annotated notebooks, and contribute to internal knowledge bases; present findings in weekly research stand-ups. 10 %Innovation Scouting scan arXiv, ACL, NeurIPS, ICML, and startup ecosystems; summarize high-impact research and propose areas for IP creation within the Suite. 3. What you will learn / outcomes to achieve Master the end-to-end research workflow: literature review ? hypothesis ? prototype ? validation ? deployment shadow. Deliver one peer-review-quality technical report and two production-grade proof-of-concepts for the Suite. Achieve a measurable impact (e.g., 8-10 % forecasting-accuracy lift or 30 % latency reduction) on a live micro-service. 4. Minimum qualifications (freshers welcome) B.E./B.Tech/M.Sc./M.Tech in CS, Data Science, Statistics, EE, or related (2024-2026 pass-out). Fluency in Python and at least one deep-learning framework (PyTorch preferred). Solid grasp of linear algebra, probability, optimization, and algorithms. Hands-on academic or personal projects in NLP, CV, time-series, or RL (GitHub links highly valued). 5. Preferred extras Publications or Kaggle/ML-competition record. Experience with distributed training (GPU clusters, Ray, Lightning) and experiment-tracking tools. Familiarity with MLOps (Docker, CI/CD, Kubernetes) or data-centric AI. Domain knowledge in supply-chain, fintech, climate, or marketing analytics. 6. Key attributes & soft skills First-principles thinker questions assumptions, proposes novel solutions. Bias for action prototypes in hours, not weeks; embraces agile experimentation. Storytelling ability explains complex models in clear, executive-friendly language. Ownership mentality treats the prototype as a product, not just a demo. 7. Tech stack youll touch Python | PyTorch | Hugging Face | TensorRT | LangChain | Neo4j/GraphDB | PostgreSQL | Airflow | MLflow | Weights & Biases | Docker | GitHub Actions | JAX (exploratory) 8. Internship logistics & perks Competitive monthly stipend + performance bonus. High-end workstation + GPU credits on our private cloud. Dedicated mentor and 30-60-90-day learning plan. Access to premium research portals and paid conference passes. Culture of radical candor, weekly brown-bag tech talks, and hack days. Fast-track to full-time AI Research Engineer upon successful completion. 9. Application process Apply via email: Send rsum, brief statement of purpose, and GitHub/portfolio links to [HIDDEN TEXT] . Online coding assessment: algorithmic + ML fundamentals. Technical interview (2 rounds): deep dive into projects, math, and research reasoning. Culture-fit discussion: with Research Lead & CPO. Offer & onboarding target turnaround < 3 weeks. Show more Show less

At CoffeeBeans Consulting, we are a dynamic software consulting firm helping clients solve complex problems through innovative technology solutions. Were expanding our Data & AI practice and looking for a Lead Consultant Data & AI to help us build and deliver high-impact data and AI projects for our clients. Role Overview: Were looking for a hands-on technical leader who combines deep expertise in AI/ML (traditional ML and GenAI) with strong skills in modern data engineering and architecture . This role is: Hands-on engineering and architecture, building and implementing solutions. Client-facing consulting, understanding business problems and translating them into technical solutions. Mentoring and guiding junior team members, fostering a high-performance team culture. You will work closely with clients to design, build, and deliver impactful Data & AI solutions while establishing best practices and maintaining a high bar for technical quality. Key Responsibilities: Solution Design & Delivery Architect and implement end-to-end AI/ML solutions , including: Data pipelines and scalable data architectures. Traditional ML models and workflows. GenAI and agentic AI systems, including retrieval-augmented generation (RAG) and LLM-based applications. Ensure delivery of high-quality, scalable, and maintainable solutions aligned with client needs. Establish and advocate best practices for MLOps and data engineering workflows. Consulting & Client Engagement Act as a trusted technical advisor for clients, shaping their Data & AI strategy and roadmaps. Translate business problems into technical solutions with clear articulation of value. Facilitate technical discussions and workshops with stakeholders to gather requirements and guide solutions. Technical Leadership Lead by example, contributing hands-on to critical parts of projects. Set code and architectural standards for AI and data projects. Stay current with industry trends and advancements in AI/ML, GenAI, and data engineering. Team Development Mentor and upskill junior engineers and data scientists within the team. Foster a collaborative, inclusive, and supportive team environment. Support the hiring and onboarding of new team members as we grow our Data & AI capability. Key Requirements: ? Experience: 1012 years in the software/technology industry. Minimum 5+ years of experience designing and building AI/ML solutions in production environments. Strong experience with data engineering and architecture in production systems. Experience working in consulting or client-facing delivery environments . ? Technical Skills: Deep knowledge of traditional ML (classification, regression, NLP, computer vision) and GenAI (LLMs, embeddings, RAG, agentic AI workflows). Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain/LlamaIndex). Proficiency in Python (and/or R, Scala) for data and AI workloads. Experience with data engineering tools and orchestration frameworks (Spark, Databricks, Kafka, Airflow). Strong familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI and data solutions. Understanding of MLOps practices (CI/CD for ML, monitoring, model retraining pipelines). Experience with data modeling, data lakes, and data pipeline architecture . ? Leadership & Mindset: Ability to lead and mentor technical teams in delivery environments. A consulting mindset with the ability to communicate effectively with technical and non-technical stakeholders. Empathetic leadership style, fostering trust and team growth. Comfortable in fast-paced, dynamic, client-facing environments. Nice to Have: Experience with LLM fine-tuning and optimization. Strong hands-on experience with Databricks for scalable data and AI workloads. Exposure to agentic AI frameworks and advanced orchestration for LLM-powered workflows. Certifications in cloud or AI/ML specializations. Experience in growing Data & AI teams within a consulting environment. Why Join Us Opportunity to shape and expand our Data & AI practice from the ground up. Work with diverse clients to solve meaningful and challenging problems. Be part of a collaborative, people-first culture with a focus on growth and learning. Competitive compensation and career advancement opportunities. Show more Show less

Senior Software Architect Review Criteria Mandatory Strong Full Stack AI Architect profile Mandatory (Experience1) Must have 5+ Years of experience in software/application development Mandatory (Experience 2) - Must have 3+ Years of strong hands-on backend development using Python Mandatory (Experience3) Must have 1+ years of Hands-on experience with React + TypeScript for frontend development and integration with backend AI services Mandatory (Experience 4) Must have 6 months+ experience in AI/LLM-based solutioning, especially with LangChain, LangGraph, Prompt Engineering, and Azure OpenAI or similar APIs. Mandatory (Experience 5) Experience with cloud infrastructure deployment using AWS/ Azure / Google Cloud Mandatory (Experience 6) Knowledge of NoSQL databases (MongoDB, Redis) and vector DBs with hands-on implementation of caching, search, and performance tuning Preferred Preferred (Company) - Product based Role & Responsibilities Lead scalable, high-performance application architecture. Develop and design enterprise-grade applications. Manage Azure DevOps processes and performance optimization. Conduct solution design, RCA documentation, and interact with cross-functional teams. Ideal Candidate Qualification: Graduation in Computers/Electronics or Post-Graduation in Computer Science. Experience: 58 years in software/application development. Mandatory Technical Skills: Core Technologies: Python, FastAPI, React/TypeScript, Langchain, LangGraph, AI Agents Docker, Azure Open AI, Prompt Engineering Cloud & Infrastructure: AWS (Secrets Manager, IAM, ECS/EC2), Azure AD, Azure DevOps, GitHub Database & Performance: MongoDB (Motor, Beanie ODM), Redis, caching strategies Security: OAuth2/SAML, JWT, Azure AD integration, audit logging Soft Skills: Strong problem-solving, mentoring, technical communication, Independent contributor with high ownership mindset Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations were present in India. Job Specific Criteria CV Attachment is mandatory Are you okay to work on 1st & 4th Saturdays of a month (WFH) - (Yes/ No) - What's your current CTC breakup (Fixed + Variable + ESOP) Are you willing to travel to Pune for the F2F Final round (expenses will be reimbursed)

You will be part of a team that is developing an enterprise-grade, AI-powered agentic platform for the recruitment industry. Your role as a technical Co-Founder (CTO) will involve leading the development journey and defining the technical vision and architecture of the product from the ground up. Your responsibilities will include: - Defining and executing the technology strategy, roadmap, architecture, and infrastructure for a scalable, secure, and high-performing platform. - Leading hands-on development of the core platform, including AI agent integration, workflow automation, and data interaction layers. - Architecting and implementing LLM-based agentic features using tools like LangChain, OpenAI APIs, RAG pipelines, and vector databases. - Hiring, managing, and mentoring a high-performing engineering team across frontend, backend, ML, and DevOps. - Designing systems to handle large datasets, including data pipelines, analytics, and secure storage solutions. - Overseeing CI/CD pipelines, cloud infrastructure, monitoring, and cost-optimized deployments using AWS/GCP/Azure. The ideal candidate will have: - Proven experience in building and scaling enterprise-level web or mobile apps, preferably from 0 to 1. - Strong skills in Python/Django or Node.js, and modern JS frameworks such as React or Vue. - Deep experience with LLM integration, AI frameworks like LangChain and LlamaIndex, and vector databases like Pinecone and FAISS. - Solid understanding of database architecture, distributed systems, and API-first product development. - Past experience in leading or managing engineering teams. - Experience working in or co-founding an early-stage startup (preferred but not mandatory). Nice to have qualifications include: - Experience with multi-agent orchestration platforms like AutoGen, CrewAI, or AutoGPT. - Exposure to SaaS security, compliance, and data governance. - Knowledge of MLOps and deployment of AI models in production.,

You are a Senior AI Developer specializing in Backend and Autonomous Systems, with a strong focus on Large Language Models (LLMs). In this role, you will be a part of a team that creates autonomous AI systems for software enterprise management. These systems utilize LLM agents for various tasks such as idea generation, market research, software development, and customer acquisition. Your responsibilities will include developing automated systems for code generation and management, designing AI agents capable of understanding business states to facilitate decision-making, contributing to the development of new architectures and programming languages tailored for AI-driven development, and implementing systems for storing and analyzing business states to support AI decision-making processes. To excel in this role, you should hold a Bachelor's degree in Computer Science & Engineering, possess over 5 years of experience in software development with a focus on backend and AI technologies, demonstrate strong architectural and software design skills, be proficient in Python and FastAPI, have hands-on experience with AI code generation tools like Cursor, be familiar with AI agent systems such as AutoGen, possess a deep understanding of LLMs and their applications in software development, have experience in finetuning LLM models, and additional experience with LangFuse, LangChain, and AWS would be advantageous.,

Our client is looking for a talented and experienced LLM Lead to contribute to the development of cutting-edge AI-driven products. In this role, you will work closely with a diverse team of engineers, guiding the technical direction and ensuring the delivery of high-quality, innovative solutions within the AI and machine learning domain. A successful candidate will possess a blend of technical expertise, leadership skills, and practical experience in developing machine learning systems and models. As an LLM Lead, your responsibilities will include leading the design, development, and deployment of Machine Learning models and systems, with a particular emphasis on Generative AI and LLM-based technologies. You will also be responsible for formulating and executing strategies related to prompt engineering, Retrieval-Augmented Generation (RAG), and agents to enhance the organization's AI capabilities. Additionally, you will drive the technical roadmap for the engineering team, ensuring that it aligns with project goals and timelines. Your role will also involve providing technical expertise and hands-on programming support in Python, Langchain, and SQL, as well as collaborating with cross-functional teams and business subject matter experts to understand requirements and effectively communicate technical concepts. Moreover, you will utilize Cloud services (such as Azure, GCP, or AWS) to facilitate scalable and efficient model deployment. The ideal candidate for this position should have 7-10+ years of experience in building and implementing Machine Learning models and systems, along with at least 1 year of hands-on experience in Large Language Models (LLMs) and Generative AI techniques, including prompt engineering, RAG, and agents. Demonstrated experience in leading engineering teams and steering the technical roadmap is essential, as well as proficiency in Python, Langchain, and SQL. A strong grasp of Cloud services, such as Azure, GCP, or AWS, is crucial. Effective communication skills are also necessary to collaborate successfully with business stakeholders, and a hands-on problem-solving approach is highly valued. Preferred qualifications for this role include experience in deploying LLMs for real-world applications and a background in developing scalable AI solutions in a production environment. In conclusion, if you are passionate about AI and machine learning and possess the requisite skills and experience, we invite you to join our team and contribute to our mission of developing innovative AI-driven products.,

Qualcomm India Private Limited is seeking an experienced Software Engineer to join the QCT PM Tools team. In this role, you will be responsible for analyzing data from multiple sources, transforming the data, and creating reporting solutions to provide valuable insights for driving business decisions. Your main responsibilities will include developing, creating, and managing reporting using tools like PowerBI and Tableau, as well as building data pipelines and intelligent analytics. You will also be tasked with collecting data from various Qualcomm systems, providing actionable insights, and troubleshooting any data issues reported by users of the reporting solutions. It is essential to understand user requirements and build scalable, high-performance reporting solutions. Minimum Qualifications for this position include a Bachelor's degree in computer science engineering or a related field, along with at least 3 years of experience in Data Modelling and Data Visualization using BI tools such as Tableau, Power BI, or QlikView. You should also have experience in applying ML/AI models for prediction, classification, search, and NLP, as well as a minimum of 1 year of experience in software development with programming languages like C#, Java, or Python. Preferred Qualifications include experience in building NLP-enabled solutions using LLMs and existing data sources with RAG, Langchain, and at least 2 years of software development experience with programming languages like C#, Java, or Python. Additionally, the ability to work independently and collaboratively in a diverse, fast-paced environment is desirable, along with knowledge of database, operating system, and algorithm design. Experience working on cloud platforms like AWS or Azure is also preferred. Qualcomm values diversity and is an equal opportunity employer. If you require accommodations during the application or hiring process due to a disability, Qualcomm is committed to providing accessible support. For more information about this role, please contact Qualcomm Careers directly.,

You are invited to join our team as a Software Engineer specializing in AI/ML tools. With a minimum of 3 to 6 years of experience, you will play a crucial role in transforming natural language data into valuable features using NLP techniques to support classification algorithms. Your responsibilities will include statistical analysis, machine learning methods, and text representation techniques, ensuring the effective design of software architecture. As an ideal candidate, you will have proven experience as an NLP Engineer or in a similar role, along with a deep understanding of NLP techniques for text representation, Information Extraction, semantic extraction techniques, data structures, and modeling. Proficiency in Generative AI, LLM Model, LangChain, and text representation techniques like n-grams, bag of words, sentiment analysis, word embedding, as well as knowledge of deep learning algorithms such as LSTM/GRU/CNN will be essential. You should also have experience with machine learning frameworks like Keras or PyTorch, and libraries such as scikit-learn. The ability to write robust and testable code, coupled with strong analytical and problem-solving skills, will be key to your success in this role. A degree in Computer Science, Mathematics, Computational Linguistics, or a related field is required. If you possess the relevant qualifications and skills in AI/ML, NLP, LLM Model, LangChain, n-grams, LSTM/GRU/CNN, and Keras/PyTorch, we welcome your application. We are an equal opportunity employer and encourage candidates who are on a career break but are passionate about restarting their professional journey to apply. Join us and be a part of a dynamic team that values innovation and excellence.,

As a Senior Data Scientist (Gen AI Developer) with 5 to 7+ years of experience, you will be based in Hyderabad and employed full-time in a hybrid work mode, spending 4 days in the office and 1 day working from home. Your primary responsibility will be to tackle a Conversational AI challenge for our client by utilizing your expertise in Speech-to-Text and Text Generation technologies. Your role will involve developing and fine-tuning Automatic Speech Recognition (ASR) models, implementing language models for industry-specific terminology, and incorporating speaker diarization to distinguish multiple voices in a conversation. Additionally, you will build conversation summarization models, apply Named Entity Recognition (NER), and use Large Language Models (LLMs) for deep conversation analysis and smart recommendations. You will also design Retrieval-Augmented Generation (RAG) pipelines leveraging external knowledge sources for enhanced performance. Furthermore, you will be tasked with creating sentiment and intent classification systems, developing predictive models for next-best-action suggestions based on historical call data and engagement, and deploying AI models on cloud platforms like AWS, Azure, or GCP. Optimizing inference and establishing MLOps pipelines for continual learning and performance enhancement will also be part of your responsibilities. To excel in this role, you must possess proven expertise in ASR, NLP, and Conversational AI systems, along with experience in tools such as Whisper, DeepSpeech, Kaldi, AWS Transcribe, and Google STT. Proficiency in programming languages like Python, PyTorch, TensorFlow, and familiarity with RAG, LangChain, and LLM fine-tuning is essential. Hands-on experience with vector databases and deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask will be beneficial. Apart from technical skills, you should have strong business acumen to translate AI insights into impact, be a fast-paced problem-solver with innovative thinking abilities, and possess excellent collaboration and communication skills for effective teamwork across functions. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP projects, knowledge of multimodal AI, prompt engineering, and exposure to Reinforcement Learning (RLHF) techniques for conversational models. Join us to work on impactful real-world projects in Conversational AI and Gen AI, collaborate with innovative teams and industry experts, leverage cutting-edge tools and cloud platforms, and enjoy a hybrid work environment that promotes flexibility and balance. Your ideas will be valued in our forward-thinking, AI-first culture. To apply for this exciting opportunity, please share your updated resume at resumes@empglobal.ae or apply directly through the platform. Kindly note that while we appreciate all applications, only shortlisted candidates will be contacted. Thank you for your understanding!,

You are a Generative AI Software Engineer with over 3 years of experience, possessing strong expertise in Generative AI and Large Language Models (LLMs). Your role involves designing, developing, and implementing GenAI solutions customized to address various business challenges. It is crucial that you excel in Python programming and have hands-on experience in Retrieval-Augmented Generation (RAG) along with familiarity with Vector Databases. Your responsibilities include using Python to design and implement scalable GenAI solutions, leading the design and architecture of AI-driven solutions, working with Large Language Models (LLMs) for building customized solutions, and developing AI models that handle both text and speech data. You will also apply similarity search algorithms in vector space, leverage NLP techniques and LLMs to build conversational chatbots, and utilize vector databases for efficient data management in AI applications. Additionally, you will implement Retrieval-Augmented Generation (RAG) pipelines, develop ETL pipelines for data flow and preparation, conduct experiments and evaluations for optimal AI model performance, and ensure compliance with data privacy, security, and ethical standards. Your role also involves contributing to front-end development using React.js to build user interfaces for AI applications. It is essential that you are open to working in an agile and flexible environment, possess excellent presentation skills to engage with business users, and provide expert solutions to project issues for optimal service delivery and client satisfaction. Your willingness to learn new skills and technologies will be beneficial in this role.,

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform the company and provide cutting-edge solutions for clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. We actively respond to customers" evolving needs with innovative solutions, foster a positive and engaging work environment where collective ideas thrive, take ownership of our performance, maximize potential through continuous learning and improvement, and empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Data Scientist (Senior level) with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: - 5+ years of experience working as a Data Scientist. - Proven experience in building production-grade Retrieval-Augmented Generation (RAG) solutions with hands-on experience with advanced RAG techniques for retrieval, re-ranking, etc. - Build GenAI applications using LangChain, LlamaIndex, and familiarity with Vector Stores and Large Language Models. - Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. - Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. - Demonstrated experience in deploying ML solutions in production using cloud services like Azure, AWS. - Business Understanding, Stakeholder management, and Team leading skills. - Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

As a LLM Engineer at HuggingFace, you will play a crucial role in bridging the gap between advanced language models and real-world applications. Your primary focus will be on fine-tuning, evaluating, and deploying LLMs using frameworks such as HuggingFace and Ollama. You will be responsible for developing React-based applications with seamless LLM integrations through REST, WebSockets, and APIs. Additionally, you will work on building scalable pipelines for data extraction, cleaning, and transformation, as well as creating and managing ETL workflows for training data and RAG pipelines. Your role will also involve driving full-stack LLM feature development from prototype to production. To excel in this position, you should have at least 2 years of professional experience in ML engineering, AI tooling, or full-stack development. Strong hands-on experience with HuggingFace Transformers and LLM fine-tuning is essential. Proficiency in React, TypeScript/JavaScript, and back-end integration is required, along with comfort working with data engineering tools such as Python, SQL, and Pandas. Familiarity with vector databases, embeddings, and LLM orchestration frameworks is a plus. Candidates with experience in Ollama, LangChain, or LlamaIndex will be given bonus points. Exposure to real-time LLM applications like chatbots, copilots, or internal assistants, as well as prior work with enterprise or SaaS AI integrations, are highly valued. This role offers a remote-friendly environment with flexible working hours and a high-ownership opportunity. Join our small, fast-moving team at HuggingFace and be part of building the next generation of intelligent systems. If you are passionate about working on impactful AI products and have the drive to grow in this field, we would love to hear from you.,

AI Architecture Lead Workflow Enablement Modular Tools and Infrastructure Location: Remote (Southeast Asia preferred) Reports to: Director of Development, Singapore Language: English (professional fluency required) Note: We are not able to offer visa sponsorship or relocation Job Description Help Shape an Adaptive System of AI Tools That Supports Real Work Were looking for someone who sees beyond individual tools; someone who can help shape how a growing collection of focused, AI-enabled utilities starts to work together across our global teams. This is regarding the enabling of practical solutions to real challenges each small, valuable, and human-centered. Over time, your work will guide how these pieces start to connect, align, and support one another in more powerful ways. Youll be joining a multidisciplinary environment where workplace strategy, design, engineering, and delivery teams are already experimenting with generative AI. Your role is to bring structure and foresight helping ensure these experiments evolve into a flexible, future-ready system. What Youll Work On Designing modular back-end logic that supports prompt-to-geometry, prompt-to-calculation, or prompt-to-output workflows Connecting GPT-style inputs with structured data, layout tools, and logic components in ways that scale Working across design, engineering, and project teams to ensure tools serve real-world delivery Identifying patterns, promoting reusability, and shaping shared foundations for internal AI tools Supporting integration of new tools without creating complexity or duplication What You Bring A platform mindset, grounded in realitynot everything needs to be built at once Experience designing systems that support modular logic, prompt interaction, and cross-functional use Comfort working with APIs, structured data formats, and lightweight service layers A strong sense of how generative tools are changing the way software, design, and engineering interact A clear communication style and collaborative working approach Technologies You May Use Python, TypeScript, or similar environments OpenAI API, LangChain, vector databases, RAG pipelines JSON, YAML, REST APIs Airflow, GitHub, cloud services (GCP, Azure, etc.) Tools that help define workflows, structure logic, and promote reusability Why This Role Matters Our teams are already building AI tools that serve specific needs. Whats missing is the connective layer and the thinking that allows these tools to speak the same language, use shared logic, and scale responsibly. Youll help guide that evolution. Not by dictating a fixed system, but by enabling a distributed one to take shape with enough structure to be coherent, and enough flexibility to adapt as we grow. Show more Show less

Job Title: Senior Python Developer AI/ML Document Automation Location: Hyderabad Work Mode: Hybrid Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Python Developer with deep expertise in AI/ML and document automation . The ideal candidate will lead the design and development of intelligent systems for extracting and processing structured and unstructured data from documents such as invoices, receipts, contracts, and PDFs. This role involves both hands-on coding and architectural contributions to scalable automation platforms. Roles and Responsibilities: Design and develop modular Python applications for document parsing and intelligent automation. Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction. Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats. Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker. Collaborate with cross-functional teams to define automation goals and data strategies. Conduct code reviews, mentor junior developers, and uphold best coding practices. Monitor model performance and implement feedback mechanisms for continuous improvement. Maintain thorough documentation of workflows, metrics, and architectural decisions. Mandatory Skills: Expert in Python (OOP, asynchronous programming, modular design). Strong foundation in machine learning algorithms and natural language processing techniques. Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Proficient in developing REST APIs using FastAPI or Flask. Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools. Skilled in regex-based extraction and rule-based NER. Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure). Exposure to MLOps tools such as MLflow, Airflow, or LangChain. Show more Show less

AI Explorer / Curator Location: Remote (South or Southeast Asia preferred) Reports to: Director of Development, Singapore Language: English (professional fluency required) Note: We are not able to offer visa sponsorship or relocation Job Description Help Us Discover What AI Can Actually Do for Real Work, Right Now Were looking for someone who thrives on curiosity and fast learning. Someone who tracks whats emerging, experiments with whats useful, and helps others find practical value in the ever-changing world of AI. This role is about identifying which tools, methods, or models are worth exploringthen helping internal teams understand how they could apply them. Its a cross between applied research, internal enablement, and being a trusted first-mover. You dont need to build full systems. But you do need to spot patterns, translate whats possible into whats usable, and guide others in how to get started. What Youll Work On Testing new tools, workflows, models, or agentsand identifying which ones are useful for internal teams Prototyping small examples that show how a tool might support strategy, design, engineering, or operations Summarizing what a new method can do, where it fits, and how it could be adapted Working closely with tool builders and platform leads to inform whats built next Sharing recommendations with clear reasoning and attention to real-world use What You Bring Curiosity about how AI tools actually behavenot just what they claim to do Confidence exploring unstructured spaces and translating them for others A mindset that focuses on usefulness, not hype Interest in helping others get more value from AIeven if theyre new to it Comfort documenting and presenting findings clearly Technologies You May Work With ChatGPT, Claude, Gemini, and other LLM interfaces LangChain, vector search, RAG patterns, multi-agent frameworks No-code or semi-code tools like Zapier, Notion, or AI-enhanced work platforms Lightweight scripting if needed, but this is not primarily a development role Why This Role Matters There are more tools than anyone can keep up withbut also more potential than most teams know how to unlock. This role helps ensure we explore whats possible without losing focus. It supports internal teams by identifying what works, why it matters, and how to apply it thoughtfully. Youll be helping shape how generative AI is adoptednot by building everything, but by helping us choose what to build next. Show more Show less

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques like Chain of Thought (CoT) prompting should be within your skill set. Additionally, experience with Docker, CI/CD pipelines, YML files, and GitHub repository management is required. A strong understanding of system design principles, focusing on security, scalability, and performance optimization, is a must. Good-to-have skills include experience in responsible AI practices, knowledge of event-driven architecture, and familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning would be beneficial. Your key responsibilities will involve designing and implementing AI/ML solutions using cutting-edge technologies to ensure scalability, efficiency, and alignment with business objectives. You will be responsible for developing and optimizing LangChain components, CrewAI, GenAI, and NLP models customized to specific applications. Building and deploying production-ready RAG systems, chatbots, and AI-driven applications utilizing OpenAI APIs, Ollama, Llama, and llamaparse will be part of your role. Leveraging AWS Bedrock and other AWS services to deliver high-performance AI solutions is crucial. You will need to apply prompt engineering techniques like Chain of Thought (CoT) prompting to enhance AI interactions, maintain CI/CD pipelines, manage YML files, and utilize GitHub for version control. Implementing containerization using Docker and deploying AI solutions in cloud environments will also fall under your responsibilities. Ensuring that solutions adhere to best practices in system design, focusing on security, performance, and efficiency considerations is essential. You will also need to incorporate responsible AI practices and ensure compliance with ethical AI guidelines. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effective communication of complex technical concepts to both technical and non-technical stakeholders will be expected from you.,

Position: AI Engineer Intern GPT + LangChain Company: Eroforze Systems Location: Remote Duration: 3045 days Stipend: Up to ?12,000 (performance-based) Overview Eroforze Systems is seeking a passionate AI Intern to work onEdgeryt , our AI-powered productivity platform. Youll help build features using OpenAI GPT API and LangChain to automate task creation and improve user productivity. Responsibilities Develop and integrate AI features using GPT APIs and LangChain Build prompt workflows for smart task management Collaborate with developers to embed LLMs into our app Optimize AI performance and accuracy Must-Have Skills Python and OpenAI API knowledge Familiarity with LangChain or similar tools Prompt engineering basics Willingness to work in a VDI setup Preferred Skills Vector store/RAG experience LangChain or LlamaIndex exposure Portfolio of AI projects Perks Certificate + real startup experience Work on real AI tools used in production Mentorship and potential long-term role Show more Show less

As a member of our team, you will be responsible for applying NLP technologies to address business challenges. Your role will involve collaborating with different stakeholders within the organization to gain insights into the business problems at hand. Using your expertise in NLP, you will be developing solutions that leverage the latest technologies in this field. To excel in this position, you should have a solid foundation in statistics, machine learning, and deep learning specifically tailored for text and speech data. Your experience in natural language processing will be crucial as you engage in tasks such as textual data processing, training, and evaluating deep learning models including Transformer based models like Bert and GPT. We are looking for individuals with strong problem-solving abilities and proficiency in programming, particularly in Python. Familiarity with a range of NLP toolkits such as Langchain, LlamaIndex, Huggingface Transformers, Spacy, CoreNLP, OpenNLP will be advantageous. Additionally, experience in utilizing cloud services like AWS or Azure will be a valuable asset in this role.,

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelors/Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 35 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations were present in India. Skills: edge ai deployment,adaptation,speech emotion recognition,llm fine-tuning,tensorflow,models,intelligence,model optimization,speech,speech-to-speech,data,openai,hugging face,llm,optimization,agents,langchain,pytorch,python Show more Show less

Looking for a rockstar fullstack dev for US startup: * Typescript, React & Nextjs frontend. Python, Nodejs backend - postgres & elasticsearch db, * Design APIs, microservices, Azure Devops * AI RAG apps with OpenAI, data engineering, ETL workflows

What Youll Do Experience in creating GenAI applications such as answering engines, extraction components, and content authoring. Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex. Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques. Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements. Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding. Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering. Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience. What Youll Bring Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles. Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes. Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions. Ability to quickly adapt to new technology and be innovative in creating solutions Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP.

We seek a Senior AI Developer skilled in OpenAI (GPT-4/GPT-4o) and Google Gemini to build advanced AI apps and agents. You'll lead LLM integrations, RAG pipelines, and GenAI solutions across industries in a fast-paced, innovative product team. Required Candidate profile 4+ yrs dev exp in GenAI/LLMs. Proficient in OpenAI, Gemini, Python, LangChain, vector DBs. Strong in RAG, prompt engineering, chatbot, cloud. Bonus: experience with Whisper, Gemini Pro, Hugging Face