679 Langchain Jobs - Page 9

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.,

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. You offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you provide a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. Indegene values the importance of the early years of your career, recognizing that they lay the foundation for your professional journey. By joining the team, you can expect a differentiated career experience that exposes you to the dynamic intersection of healthcare and technology. You will have the opportunity to be mentored by industry experts and grow alongside the company's high-speed expansion on a global scale. As a Competency Leader, your role involves leading the design, development, and deployment of advanced AI and Generative AI solutions that bring substantial business value to pharma clients. You should possess extensive hands-on experience with AI/ML frameworks, cloud platforms, MLOps, and a deep understanding of GenAI technologies. Key Responsibilities: - Design, develop, and optimize AI/ML models for practical applications ensuring high performance, scalability, and reliability. - Innovate using advanced GenAI technologies to address complex business challenges. - Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. - Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms such as AWS and Azure. - Collaborate with cross-functional stakeholders to align AI solutions with business objectives. - Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. - Develop and train Generative AI models. - Perform data analysis and prepare data for AI model training. - Integrate AI models with Snowflake, AWS, and other systems. Required Knowledge: - 10+ years of experience in AI/ML development and deployment, including leadership roles. - Good knowledge of machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI-based models. - Proficiency in working with GenAI tools and technologies such as LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Experience in building scalable (Gen) AI applications on AWS. - Strong background and understanding of vector databases. - Good knowledge of Python for data science and streamlit for rapid deployment of prototypes. - Experience working in an agile environment. - Experience in setting up and using CI/CD pipelines as well as writing software in a test-driven fashion. - Experience in building (Gen) AI solutions on Snowflake is a plus. - Experience with Agentic AI build. Key Skills: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. EQUAL OPPORTUNITY If you are excited about the prospect of contributing to cutting-edge AI solutions in the healthcare industry and are ready to take on a challenging yet rewarding role, we encourage you to apply.,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

As a Data Scientist specializing in Generative AI (GenAI), you will be joining our advanced analytics team where you will be responsible for designing, developing, and deploying GenAI models using cutting-edge frameworks such as LLMs and RAG. Your role will involve building and implementing AI pipelines on cloud services like AWS, Azure, and GCP, and collaborating with cross-functional teams to integrate AI models into business applications. Additionally, you will be managing tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while adhering to best practices in hallucination control and ethical AI. In this role, you will be driving research and experimentation in Knowledge Graphs, Vision APIs, and Responsible AI practices to contribute to the innovation of AI-driven business processes. Furthermore, you will collaborate with engineering teams to deploy GenAI solutions into production environments using technologies such as Docker, SQL, and versioning tools. The ideal candidate for this position must have a strong understanding of Agent Framework, RAG Framework, Chunking Strategies, LLMs, and other GenAI methodologies. Proficiency in cloud services such as AWS, Azure, and GCP is essential, along with experience in LangChain, Vector Databases, Token Management, Knowledge Graphs, Vision APIs, and Prompt Engineering. Additionally, familiarity with AI Algorithms, Deep Learning, Computer Vision, Hallucinations Control Methodology, and Responsible AI Methodology are considered good-to-have skills. Technical skills required for this role include proficiency in Python, Docker, SQL, and versioning tools like Git. Experience with at least one cloud platform (AWS, Azure, or GCP) is mandatory. Candidates applying for this position should meet the following eligibility criteria based on their experience level: - Consultant: 3+ years of relevant experience in Data Science - Assistant Manager: 4+ years of relevant experience in Data Science - Manager: 5+ years of relevant experience in Data Science Preferred candidates will have a strong background in Python programming, a track record of successful project delivery using LLMs or GenAI, and the ability to work effectively both independently and collaboratively in fast-paced environments.,

As a seasoned professional with 8-10 years of experience, you will be entrusted with leading the development of cutting-edge Gen AI solutions at our office located in Irinjalakuda, Thrissur. Your role will involve designing, implementing, and deploying AI models and systems to address business problems effectively. Collaboration with cross-functional teams is key, as you will work together to identify challenges and develop AI-powered solutions that foster growth and enhance operational efficiency. Your expertise will be instrumental in designing and implementing scalable AI solutions, utilizing cutting-edge technologies such as LangChain, Agentic AI, RAG, and Event-driven architecture using Kafka. In addition to development responsibilities, you will be tasked with maintaining large-scale AI systems to ensure optimal performance, reliability, and security. Leading and mentoring a team of AI developers will be part of your role, guiding them to deliver high-quality outcomes in line with industry standards. Staying abreast of the latest advancements in Gen AI and related technologies is imperative. By leveraging your knowledge, you will drive innovation and continuous improvement within the organization. Technical documentation, including architecture diagrams and design documents, will be within your purview, along with participating in code reviews to uphold coding standards and best practices. Engaging with clients and internal stakeholders, you will play diverse roles like a strategist, value realization expert, project manager, track lead, and program manager. Your involvement will span business transformation initiatives through the enablement of digital or data platforms, covering areas such as Conversational AI, target operating model design, and strategy & roadmap development. Your educational background in Computer Science, Engineering, or a related field will serve as a strong foundation for this role. Additionally, investing in learning new skills, mentoring team members, and providing career guidance will be part of your professional growth journey. This full-time position offers benefits such as leave encashment, work from home options, day and morning shifts, as well as performance and yearly bonuses. If you are ready to immerse yourself in the dynamic world of AI development and drive impactful solutions, we look forward to welcoming you to our team. Contact Details: Mobile Number: +91 8089111607, +91 9846875775 Email: theaitsolutionsllp.com (Note: This job description is based on the information provided and does not include specific company details or job title.),

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. As an ML Engineer at ClearTrail, you will be responsible for developing an end-to-end machine learning pipeline, encompassing model development, refinement, and implementation for various analytics problems. Your role will involve effectively communicating results to a diverse range of technical and non-technical audiences. Additionally, you will leverage your expertise in LLM to tackle problems using cutting-edge language models and off-the-shelf LLM services such as OpenAI models. Your responsibilities will also include staying updated with the latest advancements in AI, problem-solving, code debugging, and practical experience in working with large language and generative AI models, including transformers and GPT models. Qualifications for this role include a Bachelor's degree in computer science & engineering, along with 6-10 years of proven experience as a Machine Learning Engineer or similar role with LLM skill set. You should possess sound theoretical and practical knowledge of machine learning algorithms and hands-on experience with LLM applications. Proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries is essential, along with expertise in techniques such as Exploratory Data Analysis, Machine Learning, Neural Networks, Hyperparameter tuning, Model performance metrics, and Model Deployment. Practical knowledge of LLM and its finetuning is also a mandatory requirement. While not mandatory, it would be advantageous to have skills in Deep Learning, MLOps, and SQL. By joining ClearTrail, you will have the opportunity to contribute to the future of intelligence gathering and play a vital role in developing innovative solutions to address complex challenges in the realm of security and safety.,

We are seeking a passionate and skilled AI & Machine Learning Developer to become a valuable member of our team. Your responsibilities will involve working on various aspects of Data Science, Machine Learning, and Generative AI, which will contribute to the creation of real-world applications such as predictive analytics and LLM-powered intelligent systems. Joining our AI team will provide you with the opportunity to develop and implement end-to-end solutions utilizing cutting-edge frameworks including PyTorch, TensorFlow, modules, Langchain, llamacpp, among others. This position is perfect for individuals who excel in a dynamic, research-oriented development environment and derive satisfaction from utilizing data and AI to solve complex problems. This is a full-time role with day shift schedule. The work location is on-site.,

You are a talented and experienced Senior Fullstack Engineer responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while also ensuring solid backend capabilities. You will collaborate closely with product managers, designers, and other engineers to create next-generation AI experiences like chat interfaces, LLM integrations, and intelligent user interactions. Your deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and passion for building high-quality, maintainable solutions with cutting-edge AI capabilities are essential for this role. In this position, your responsibilities will include: - Building AI-powered chat applications, conversational interfaces, and intelligent user experiences - Designing and implementing complex AI workflows using technologies like LangGraph and multi-agentic architectures - Implementing monitoring, logging, and performance tracking for AI/LLM integrations - Designing, developing, and maintaining responsive web applications using React, Next.js, and TypeScript - Making strategic technical decisions about AI application structure, data flow patterns, and scalability solutions - Optimizing Core Web Vitals, bundle analysis, rendering performance, and AI response times - Developing and consuming RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management - Conducting code reviews, mentoring junior developers, and establishing frontend development standards - Translating business requirements into technical solutions and feasibility assessments - Developing comprehensive automated unit, integration, and end-to-end tests - Debugging complex production issues, memory leaks, race conditions, and cross-browser inconsistencies - Implementing authentication flows, XSS prevention, data privacy, and AI safety measures - Building and maintaining Node.js/Express.js APIs, database integrations, and AI service orchestration Requirements: - Bachelor's degree in Computer Science, Engineering, or related field - 5-8 years of experience in fullstack development with a frontend focus - Proven experience in building chat applications and conversational interfaces - Experience integrating with AI/ML APIs and LLM frameworks - Strong analytical, problem-solving, and technical communication skills - Excellent collaboration abilities and experience working in cross-functional teams Core Technical Expertise: Frontend Technologies: - Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs) - React.js with hooks, context, and modern patterns - Next.js including SSR, SSG, and App Router - TypeScript with deep understanding of type system - Component libraries (Ant Design or Material-UI) - State management solutions (Redux, React Query) Backend & Data: - Node.js & Express.js for API development - Database technologies (PostgreSQL, MongoDB, or MySQL) - RESTful APIs and GraphQL services AI/LLM Integration: - OpenAI APIs, LangChain, or similar frameworks - Streaming AI responses and error handling - Performance optimization for AI applications - Multi-agent system implementation Development Practices & Tools: - Modern testing frameworks (Jest, React Testing Library, Cypress) - Performance monitoring and debugging tools - Git version control and collaborative workflows - CI/CD pipelines and deployment automation - System architecture patterns and scalable application design - Security best practices including authentication flows and XSS prevention Performance & Optimization: - Core Web Vitals optimization - Bundle analysis and rendering performance - Memory management and browser-specific optimizations - Cross-browser compatibility and debugging Other Mandatory Requirements: - Experience in a product company, focusing on enterprise products with significant business impact or user base - Expertise in Python or JavaScript (Frontend or Backend) - Candidates must be based in Bangalore,

As a UIPath Professional at YASH Technologies, you will be responsible for designing and developing applications using LangChain to integrate Large Language Models (LLMs) for various use cases such as chatbots, summarization, and content generation. You will build scalable back-end systems using Python and integrate LLMs with external APIs, databases, and vector stores. Implementing Retrieval-Augmented Generation (RAG) pipelines for context-aware responses and developing prompt templates and memory modules to optimize LLM interactions will be key aspects of your role. Collaboration with cross-functional teams to deliver end-to-end AI solutions and ensuring the performance, scalability, and reliability of deployed applications will be vital in this position. At YASH, you will have the opportunity to create a career path in an inclusive team environment. We focus on continuous learning, unlearning, and relearning at a rapid pace and scale through career-oriented skilling models and technology. Our work environment is centered around principles such as flexible work arrangements, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, support for business goals realization, stable employment, great atmosphere, and ethical corporate culture. If you are passionate about leveraging cutting-edge technologies to drive real positive changes in an increasingly virtual world, we invite you to join our team of bright stars at YASH Technologies.,

As a Finance Technology Python Developer at GenAI Solutions, you will be a key member of the team responsible for designing, developing, and deploying cutting-edge Generative AI solutions using Python. Your role will involve hands-on development, optimization of existing solutions, and driving the adoption of modern engineering practices. You will collaborate with various teams to ensure the successful integration of AI solutions in the banking sector. In this role, you will have the opportunity to work on innovative projects that adhere to Citis strategic architecture principles. You will be responsible for optimizing AI models, leveraging LLMs, and enhancing solution performance through efficient coding practices. Additionally, you will play a crucial role in implementing best practices in readability, performance, and security through thorough code reviews. The ideal candidate for this position should have at least 8 years of experience as a Python or Backend Developer, with a strong proficiency in Python and frameworks such as Flask, Django, and Pandas. You should also possess hands-on experience with LLMs APIs and integration frameworks like LangChain, as well as expertise in prompting techniques for AI models. Knowledge of RAG methodologies, DB-driven applications, ORM such as SQLAlchemy, Kubernetes, and modern engineering practices like Agile, DevOps, and CI/CD is essential for this role. To be successful in this role, you should have a bachelors or masters degree in computer science or engineering. Additionally, you should be able to think strategically, engage with cross-functional teams, and demonstrate creativity in identifying new opportunities. Your ability to work collaboratively in a team environment and your experience in product lifecycle management will be valuable assets in this position. If you are excited about leveraging your Python development skills to drive innovation in Finance, Markets, and Credit Risk Technology at Citi, we encourage you to apply for this position and be a part of shaping the future of banking.,