662 Langchain Jobs - Page 8

Overview: Be part of an innovative and forward-thinking environment! Join our dynamic IT team as a full-time AI/ML Engineer and take advantage of exciting growth opportunities. Requirement: Experience: 3+ Years Mandatory skills: ML & AI: ScikitLearn, TensorFlow, PyTorch, XGBoost, SHAP, LIME, LSTM, TimeSeries Forecasting NLP & LLMs: LangChain, HuggingFace, Transformers, FAISS, RAG, Gemini APIs, BLIP2 Register for a Global opportunity on the world's first & only Global Technology Job Portal: www.iitjobs.com Download our app on the Apple App Store and Google Play Store! Refer and earn 50,000!

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Data Science & AIML, Gen AI Lead/Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, Gen AI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (Gen AI) and Large Language Models (LLM). Exposure to Lang chain.

You will be responsible for designing, developing, and deploying AI agents powered by LLMs such as GPT-4 Claude and Gemini. Your role will involve integrating AI agents with various tools, APIs, databases, and automation frameworks. You will be required to develop reusable prompt chains and workflows for common tasks and decision-making processes. Additionally, you will utilize frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Your tasks will also include fine-tuning or instructing LLMs for specific use-cases or industry applications, as well as optimizing performance, reliability, and cost-efficiency of AI workflows. Collaboration with data scientists, product managers, and engineers to design end-to-end AI solutions is an essential part of this role. Furthermore, you will implement automation in internal tools, customer interactions, or operational pipelines using AI agents. To be successful in this position, you must have strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama. Hands-on experience with agentic frameworks like LangChain, AutoGen, CrewAI, etc., is required. Proficiency in Python and relevant AI libraries such as HuggingFace, Transformers, LangChain is a must. A solid understanding of prompt engineering and retrieval-augmented generation (RAG) is also necessary. Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation will be beneficial. Previous experience working with APIs, webhooks, and data integrations is essential. Nice-to-have qualifications include experience with vector databases like Pinecone, Weaviate, FAISS, and knowledge of fine-tuning or customizing open-source LLMs. Familiarity with cloud platforms such as AWS, GCP, Azure, and deployment of AI solutions is an added advantage. Experience with UI/UX for chatbot or agent interfaces would also be beneficial. Joining Rysysth Technologies as an AI Agent Developer will provide you with exciting challenges and opportunities to work with cutting-edge technologies in the AI space.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will need to have 4+ years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. The ideal candidate should have at least 2+ years of working experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products at scale using cloud services and architectures. Additionally, you should possess 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Exposure to Playbooks, Vertex AI, ADK, and Voice AI is also required. It would be beneficial to have knowledge of LangChain and/or LangGraph, and 4+ years of experience in the Contact Center industry, specifically in design, development, testing, integration with vendors, CRMs, and business applications. Proficiency in IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, and customer journey optimization using AI/ML is a plus. Furthermore, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, NoSQL Databases (Cassandra or Mongo), Graph Databases, and Public Cloud Marketplace services is desirable. Experience with Deep Domain Driven Design and cloud-native Microservices designed for massive scale and seamless resiliency on platforms like PCF/VMWare Tanzu, K8s, or Serverless cloud technologies will be an advantage. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 50 countries and a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is also a leading provider of digital and AI infrastructure worldwide, committed to helping clients innovate, optimize, and transform for long-term success. If you are an exceptional, innovative, and passionate individual looking to grow with a prestigious organization, apply now to be a part of NTT DATA's dynamic team.,

As a Senior Python Developer at Nirvana Solutions, you will have the opportunity to work on building and scaling our AI-driven Copilot platform. With over 6 years of experience in Python development, you will play a key role in designing, developing, and implementing modern AI techniques to enhance our investment management solutions. Your responsibilities will include building scalable Python applications, refining agentic flows and memory structures, and integrating with internal/external APIs. Collaboration with product managers, UX designers, and engineering teams will be essential in translating requirements into technical designs. You will also provide technical mentoring, conduct code reviews, and ensure code quality through automated testing and CI/CD processes. Monitoring system performance, identifying bottlenecks, and proposing improvements will be part of your role, along with staying updated on AI/ML advancements for integration into our architecture. The ideal candidate will have a strong expertise in Python and related libraries, experience with backend API frameworks like FastAPI, and hands-on experience with designing agentic or conversational AI architectures. Proficiency in RDBMS and NoSQL databases, cloud services, and containerization is required. Knowledge of modern AI/ML techniques, multi-tenant architectures, and secure API integrations is a must. Nice to have qualifications include exposure to investment management domain, experience with multi-modal/agentic systems frameworks, and familiarity with Kafka-based event-driven architectures. At Nirvana Solutions, you will have the opportunity to work in a test environment to enhance your skills, become a subject matter expert, and take product ownership for fast-paced growth. You will be exposed to the finance domain and have the chance to work directly with top leadership while implementing new technologies to delight clients. Join our close-knit competitive team environment at Nirvana Solutions in Gurugram, with a hybrid work model, industry-standard salary, and various employee benefits. Take advantage of the latest software engineering practices, friendly culture, and opportunities for personal and professional growth. Work in a dynamic environment where your contributions are recognized and valued.,

As a Machine Learning Engineer at ClearTrail, you will be a part of a team dedicated to developing solutions that empower law enforcement and federal agencies globally to keep their people, places, and communities safe. With over 21 years of experience in safeguarding nations and enriching lives, ClearTrail is leading the way in the future of intelligence gathering through artificial intelligence and machine learning-based lawful interception & communication analytics solutions. Your role will involve developing end-to-end machine learning pipelines for a variety of analytics problems, refining models, and implementing solutions. You will be responsible for communicating results to both technical and non-technical audiences, providing expertise in large language models (LLMs), such as OpenAI models, and utilizing retrieval augmented generation techniques to enhance LLM performance. Additionally, you will stay updated with the latest advancements in AI, demonstrate strong problem-solving and code debugging skills, and have practical experience with proprietary and open-source generative AI models like transformers and GPT models. The ideal candidate for this position should have 2-4 years of experience as a Machine Learning Engineer with expertise in LLMs. You should possess a Bachelor's degree in computer science & engineering, sound theoretical and practical knowledge of machine learning algorithms, and hands-on experience with LLM applications. Mandatory skills include proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries, as well as experience in exploratory data analysis, neural networks, hyperparameter tuning, model deployment, and SQL. Join us at ClearTrail in Indore, M, and be a part of a dynamic team that is shaping the future of intelligence gathering and making a difference in the world.,

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensure safe, compliant, and robust model behavior will be a crucial part of your role, including prompt validation, output moderation, and access controls. Collaboration with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI will also be expected. Furthermore, you will contribute to system observability via dashboards and logging, as well as support post-deployment model monitoring and optimization. To excel in this role, you must have proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions. A solid understanding of Agentic AI design patterns, strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration are essential. Experience with implementing AI guardrails, proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration are also required. Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns is a plus. Preferred qualifications include experience working on AI projects in regulated environments (Banking domain), hands-on experience with cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI, knowledge of prompt engineering, RLHF, and LLM observability frameworks, as well as experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards.,

At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance. Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up. Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions. Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment. Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,

We are seeking a talented AI/ML Developer with a strong passion for Artificial Intelligence to become a valuable member of our innovative organization. This role presents a thrilling opportunity to actively participate in AI projects and contribute to the creation of cutting-edge solutions. Your primary responsibilities will include developing and maintaining applications for AI and Large Language Model (LLM) projects. You will be tasked with conducting data analysis to identify trends and insights that can enhance the efficiency of models. Designing, developing, and deploying machine learning models for diverse applications will also be a key aspect of your role. Optimization of algorithms for improved performance and scalability will be essential, along with staying abreast of the latest advancements in the field of AI. To qualify for this position, you should possess a Bachelor's or Master's degree in Computer Science or a related field from an accredited university. While internship experience in AI or related domains is advantageous, demonstrable expertise in AI/ML programming and development is crucial. Proficiency in utilizing OpenAI technologies and Vector Databases is required, along with familiarity with Large Language Models (LLMs) and frameworks like LangChain and LLamaIndex. Experience in API Development and managing Relational Databases is also highly desirable. Strong problem-solving abilities, meticulous attention to detail, and the capacity to work both independently and collaboratively in a team environment are key attributes we are looking for. Join our team and embark on an exciting journey to drive forward the advancement of AI technology. Your expertise in machine learning models, LlamaIndex, Vector databases, algorithm optimization, data analysis, OpenAI technologies, API development, Large Language Models (LLMs), AI/ML programming, and relational databases will be invaluable assets in contributing to our innovative projects.,

You should have 5 to 8 years of experience as an AI Engineer with immediate availability. The position is based in Chennai, Pune, Bangalore, Noida, or Gurgaon. As a Gen AI Engineer with expertise in ML, Python, and Langchain, you will be responsible for designing, developing, and deploying Generative AI and LLM-based solutions. Your role will involve using tools like Langchain and Retrieval-Augmented Generation (RAG) pipelines to build intelligent, context-aware systems. You will work closely with the engineering team to shape the technical roadmap for LLM initiatives and translate business requirements into scalable AI solutions. Collaborating with business SMEs and data teams, you will ensure that AI models align with real-world use cases. Your responsibilities will also include contributing to architecture discussions, code reviews, and performance optimization. To excel in this role, you must be proficient in Python, Langchain, and SQL, with a strong understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. A background in machine learning or software engineering, particularly in system-level thinking, is essential. Experience with cloud platforms like AWS, Azure, or GCP is required, along with the ability to work independently and collaborate effectively across teams. Excellent communication and stakeholder management skills are crucial for this position. Preferred qualifications include at least 1 year of hands-on experience in LLMs and Generative AI techniques, along with a background in contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models, as well as prior exposure to client-facing projects or cross-functional AI teams, would be advantageous.,

Atologist Infotech is seeking an experienced and forward-thinking AI Engineer to contribute to the shaping and scaling of the AI Agent Framework. In this hands-on engineering position, your primary focus will be on the development of intelligent and modular agent systems capable of reasoning, planning, and autonomously interacting in real-world scenarios. Working closely with a collaborative team, you will be responsible for designing and implementing agent-oriented systems that facilitate task decomposition, memory management, and contextual planning. Additionally, you will play a key role in extending the in-house AI Agent Framework by incorporating reusable components such as tools, memory modules, and orchestration logic. Your duties will also involve building and integrating vector search, semantic retrieval, and memory systems to empower long-term, goal-oriented behavior in agents. You will be tasked with connecting LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities. Furthermore, you will develop RESTful APIs using FastAPI, Flask, or Django to expose agent functionalities and facilitate integration with other products. As an AI Engineer at Atologist Infotech, you will be expected to design scalable, event-driven microservice architectures customized for AI-native workloads and agent frameworks. Emphasizing responsible AI design, you will prioritize user safety, transparency, and privacy throughout the development process. **Key Responsibilities:** - AI Agent System Development: Design and implement agent-oriented systems supporting task decomposition, memory handling, and contextual planning. - Framework Engineering: Extend the in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. - Contextual Intelligence: Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behavior. - Natural Language Interfaces: Connect LLMs and NLU/NLP layers for natural task inputs and autonomous reasoning capabilities. - API Engineering: Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. - System Architecture: Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. - Ethical AI: Prioritize responsible AI design with user safety, transparency, and privacy at the core. **Required Skills & Qualifications:** - Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field. - Python Proficiency: Strong software engineering skills in Python (3.x) with expertise in async programming, architecture design, and typing. - AI/LLM Experience: Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. - Frameworks & Tools: FastAPI, Flask, or Django; LangChain, LlamaIndex, or other agent frameworks; Vector stores (FAISS, Weaviate, Pinecone); PostgreSQL, Redis, and event queues (Celery, RabbitMQ). - Version Control & Testing: Proficient with Git workflows and writing tests using Pytest or similar. **Bonus Skills (Nice-to-Have):** - Experience with autonomous agents, tool-calling, or memory-driven task systems. - Familiarity with cognitive architectures or symbolic reasoning. - Contributions to open-source AI frameworks or tooling. This is a full-time, permanent position offering benefits such as leave encashment, paid sick time, paid time off, and Provident Fund. The work schedule is fixed from Monday to Friday. Experience: AI - 3 years (Preferred) Work Location: In person,

As a Prompt Engineer in the Artificial Intelligence/R&D department, you will play a vital role in building, optimizing, and testing natural language prompts to enhance the performance of large language models like OpenAI GPT, Claude, and Gemini. Your primary responsibilities will involve designing, writing, and optimizing natural language prompts to address specific business or product challenges. Working alongside data scientists, product managers, and engineering teams, you will contribute to the development of high-quality AI prompt systems for real-world applications. Your role will require you to analyze and test the impact of different prompts on model output quality, collaborating closely with product and development teams to create deployable prompt templates and interface logic. Additionally, you will be involved in establishing prompt libraries and prompt engineering frameworks to enhance prompt reusability and scalability. Staying updated on the latest prompt engineering technologies and research papers will be crucial, as you transform these insights into practical applications. To excel in this role, you must demonstrate proficiency in utilizing mainstream large-scale language models such as GPT-4, Claude, or Gemini. Strong language expression and logical thinking skills, along with expertise in prompt tuning, few-shot learning, and chain-of-thought prompt engineering methods, are essential. A bachelor's degree in a relevant field (computer science, linguistics, cognitive science) is required, with a preference for candidates with strong English reading abilities to understand model documents and research papers. Candidates with experience in actual Large Language Model (LLM) application projects, mastery of Python programming for rapid prototyping, and familiarity with dialogue systems, search engines, knowledge graphs, and RAG technologies will be given bonus points. Understanding model fine-tuning, LoRA, and system prompt structure, as well as familiarity with tool chains like LangChain, LlamaIndex, and OpenAI Function Calling, will be advantageous. In return, we offer a competitive salary and bonus system, the chance to work with cutting-edge AI technology, flexible working hours, and remote work options. Join our team of technology enthusiasts and innovators to embark on a rewarding career journey.,

Job Description: We are looking for a talented and passionate Gen AI Developer to join our dynamic team. The ideal candidate will have experience in developing, implementing, and optimizing Generative AI solutions, particularly in the context of large language models (LLMs) such as OpenAI, and working on AI-driven applications like chatbots and customer support systems. If you have a strong background in Python and any other technologies like C# or Java , and a keen interest in the rapidly evolving AI space, we want to hear from you. Key Responsibilities: Design, develop, and implement Generative AI solutions leveraging OpenAI and other LLM models. Optimize and fine-tune AI models to enhance performance for various applications, including chatbots, OCR, virtual assistants and customer support systems. Collaborate with cross-functional teams to integrate AI models into production environments. Contribute to building AI agents using open-source frameworks like LangChain . Work with SQL queries and transform English Query Text to SQL (preferred). Ensure the AI models are scalable, efficient, and secure in production settings. Participate in troubleshooting, debugging, and performance tuning of AI systems. Stay up-to-date with the latest developments in Generative AI , LLMs, and AI frameworks. Required Skills & Experience: 2-6 years of hands-on experience in AI model development, deployment, and optimization. Strong proficiency in Python ; experience with C# or Java is a plus. Proven experience implementing Generative AI projects from development to production. Familiarity with OpenAI and other LLM models. Experience in AI model fine-tuning (good to have). Knowledge of AI Agents and open-source frameworks like LangChain (preferred). Solid understanding of machine learning , NLP (Natural Language Processing), and Deep Learning techniques. Experience in Fintech is desirable but not mandatory. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Excellent communication and teamwork abilities. Good to Have: Familiarity with English Query Text to SQL conversion. Experience working with cloud platforms such as AWS, GCP, or Azure. Exposure to MLOps for managing AI model deployment and lifecycle. Knowledge of additional AI frameworks and libraries (e.g., TensorFlow, PyTorch). Benefits: Competitive salary and benefits package. Opportunity to work on cutting-edge AI technologies in the Fintech industry. Collaborative and innovative work culture. Continuous learning and career growth opportunities.

5–8 years of experience in AI/ML or automation engineering Exp with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel.Proficiency in Python.Understanding of LLMs OpenAI, Anthropic etc

Note: 1. Immediate to 30 days serving notice period 2.Who are available for face to face and video can apply Please add more profile for LLM engineer for weekend drive, below is the mandatory skills which delivery is looking for: 5+ years of relevant experience in Python , AI and machine learning - 2+ years of relevant experience in Gen AI LLM Hands-on experience with at least 1 end-to-end GenAI project Worked with LLMs such as GPT, Gemini, Claude, LLaMA, etc LLM skills: RAG, LangChain, Transformers, TensorFlow, PyTorch, spaCy Experience with REST API integration (e.g. FastAPI, Flask) Proficient in prompt types: zero-shot, few-shot, chain-of-thought - Knowledge of model training, fine-tuning, and deployment workflows LLMOPs - atleast 1 cloud (AZURE/AWS) , GITHUB , Docker/Kubernetes , CICD Pipeline - Comfortable with embedding models and vector databases (e.g. FAISS, Pinecone)

GEN AI Engineer with Azure and GCP ecosystems 1. Expert in Building complex Gen AI solutions with high accuracy and complex use cases. 2. Expert in Agentic platforms from Pro Code (Autogen, Sementic Kernel, LangGraph) to Low Code (e.g. Crew.ai/ EMA.ai) 3. Expert in Azure OpenAI and Google Vertex AI ecosystems and tooling (from training model, advance prompting, Assistant API, to agent curation) 4. Fluent in Python, Liamiandex, Langchain or other GenAI packages. 5. Strong problem solving skills and attention to details.

Notice Period : Immediate joiners preferred Skills : Python, Power Automate, FastAPI, Azure, GenAI (OpenAI, Gemini), Vector DBs (FAISS, Pinecone), LangChain, OOPS Experience : 48 Years Locations : Chennai, Bangalore, Pune, Coimbatore

Job Title: AI/ML Architect GenAI, LLMs & Enterprise Automation Location: Bangalore Experience: 8+ years (including 4+ years in AI/ML architecture on cloud platforms) Role Summary We are seeking an experienced AI/ML Architect to define and lead the design, development, and scaling of GenAI-driven solutions across our learning and enterprise platforms. This is a senior technical leadership role where you will work closely with the CTO and product leadership to architect intelligent systems powered by LLMs, RAG pipelines, and multi-agent orchestration. You will own the AI solution architecture end-to-endfrom model selection and training frameworks to infrastructure, automation, and observability. The ideal candidate will have deep expertise in GenAI systems and a strong grasp of production-grade deployment practices across the stack. Must-Have Skills AI/ML solution architecture experience with production-grade systems Strong background in LLM fine-tuning (SFT, LoRA, PEFT) and RAG frameworks Experience with vector databases (FAISS, Pinecone) and embedding generation Proficiency in LangChain, LangGraph , LangFlow, and prompt engineering Deep cloud experience (AWS: Bedrock, ECS, Lambda, S3, IAM) Infra automation using Terraform, CI/CD via GitHub Actions or CodePipeline Backend API architecture using FastAPI or Node.js Monitoring & observability using Langfuse, LangWatch, OpenTelemetry Python, Bash scripting, and low-code/no-code tools (e.g., n8n) Bonus Skills Hands-on with multi-agent orchestration frameworks (CrewAI, AutoGen) Experience integrating AI/chatbots into web, mobile, or LMS platforms Familiarity with enterprise security, data governance, and compliance frameworks Exposure to real-time analytics and event-driven architecture You’ll Be Responsible For Defining the AI/ML architecture strategy and roadmap Leading design and development of GenAI-powered products and services Architecting scalable, modular, and automated AI systems Driving experimentation with new models, APIs, and frameworks Ensuring robust integration between model, infra, and app layers Providing technical guidance and mentorship to engineering teams Enabling production-grade performance, monitoring, and governance

We are seeking developers who are eager to grow, experiment, and work on challenging technical problems. As an AI/ML Engineer-I at GeekyAnts, you'll be joining a fast-paced environment where you'll contribute to real projects from Day 1 and gain exposure to the latest trends in software engineering and AI. Key Responsibilities Write clean, efficient, and scalable code in Python. Work closely with cross-functional teams to design, develop, and deliver high-quality software solutions. Collaborate with senior developers and team leads for code reviews and knowledge sharing. Continuously learn and adapt to new technologies and frameworks. Contribute to project discussions, documentation, and team activities. Ideal Candidate Profile Technical Skills: Strong grasp of Python programming (Mandatory). Completed a Python course or certification from a recognized institute (Preferred). Basic understanding of Artificial Intelligence or exposure to AI projects is a plus. Familiarity with version control (e.g., Git) and collaborative tools (e.g., Jira, Slack) is appreciated. Soft Skills: Excellent verbal and written communication skills. Strong problem-solving mindset and willingness to take initiative. • Open to feedback and capable of working in a dynamic, team-oriented setting.

Crew AI Engineer Remote Contractual-6 months Job Description : We are looking for people with strong python skills, knowledge of multi agent frameworks like Crew AI, knowledge of RAG concepts mandatory. Good conceptual knowledge of LLM concepts Langraph and Langchain Required Skills : 5-8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities

As a talented software developer at our company, you will have the opportunity to showcase your passion for coding and product building. Your problem-solving mindset and love for taking on new challenges will make you a valuable addition to our rockstar engineering team. You will be responsible for designing and developing robust, scalable, and secure backend architectures using Django. Your focus will be on backend development to ensure the smooth functioning of web applications and systems. Creating high-quality RESTful APIs to facilitate seamless communication between frontend, backend, and other services will also be a key part of your role. In addition, you will play a crucial role in designing, implementing, and maintaining database schemas to ensure data integrity, performance, and security. You will work on ensuring the scalability and reliability of our backend infrastructure on AWS, aiming for zero downtime of systems. Writing clean, maintainable, and efficient code while following industry standards and best practices will be essential. Collaboration is key in our team, and you will conduct code reviews, provide feedback to team members, and work closely with frontend developers, product managers, and designers to plan and optimize features. You will break down high-level business problems into smaller components and build efficient systems to address them. Staying updated with the latest technologies such as LLM frameworks and implementing them as needed will be part of your continuous learning process. Your skills in Python, Django, SQL/PostgreSQL databases, and AWS services will be put to good use as you optimize systems, identify bottlenecks, and resolve them to enhance efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science or a related field, along with at least 2 years of experience in full-stack web development with a focus on backend development. Proficiency in Python, Django, and experience with Django Rest Framework are required. Strong problem-solving skills, excellent communication, and collaboration abilities are also essential for success in this position.,

You will be joining a renowned global digital engineering firm, Srijan, a Material company, as a Senior Developer/ Lead specialized in Data Science. Your role will involve working on Generative AI models such as Azure OpenAI GPT and Multi-Agent System Architecture. You should be proficient in Python and AI/ML libraries like TensorFlow, PyTorch, Scikit-learn. Experience with frameworks like LangChain, AutoGen for multi-agent systems, and strong knowledge of Data Science techniques including data preprocessing, feature engineering, and model evaluation are essential. It is preferred that you have at least 4+ years of experience in a similar role. The job location can be either Gurgaon or Bangalore. Familiarity with Big Data tools such as Spark, Hadoop, Databricks, and databases like SQL, NoSQL will be beneficial. Additionally, expertise in ReactJS for building responsive and interactive user interfaces is a plus. In this role, you can expect professional development and mentorship, a hybrid work mode with a remote-friendly workplace, health and family insurance, 40+ leaves per year including maternity and paternity leaves, as well as access to wellness, meditation, and counseling sessions.,

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,