59 Lang Chain Jobs - Page 3

Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 3+ years of experience 3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

Job Description Requirement Name / Title GenAI Developer Work Location Chennai/ Bangalore/Pune/Kolkata Shift General Shift Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance • Implement prompt guardrails to prevent attacks like prompt injection, jailbreaking and prompt leaking • Develop, deploy and maintain auto prompt solutions • Design and implement minimum design standards for every use case involving prompt engineering • You will be responsible for training the machine learning and deep learning model. • Writing reusable, testable, and efficient code using Python • Design and implementation of low-latency, high-availability, and performant applications • Implementation of security and data protection • Integration of data storage solutions and API Gateways • Production change deployment and related support If you're interested or know someone who fits this role, feel free to reach out. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Sundew is a growing company with 18 years of expertise in Digital Transformation, excelling in Digital Strategy, Cloud-Native Application Development, AI, and Product Engineering. We are seeking a Agentic AI Developer to join our AI team in designing, developing, and deploying next-generation autonomous and agentic systems for our global clients. In this role, you will work at the intersection of artificial intelligence, software engineering, and cognitive architectures to build AI agents that can reason, plan, learn, and act with high levels of autonomy across dynamic environments. The ideal candidate brings deep experience in building agent-based systems, reinforcement learning, or multi-agent frameworks, along with a passion for pushing the boundaries of AI that can operate with initiative and self-direction. Key Responsibilities Develop agentic AI systems capable of autonomous decision-making, task decomposition, and adaptive behavior in real-world or simulated environments. Design and implement cognitive architectures, memory systems, and planning algorithms to enable goal-driven, self-reflective agents. Integrate large language models (LLMs), symbolic reasoning, and other AI components into cohesive agent frameworks. Collaborate with cross-functional teams (e.g., product, UX, robotics, cloud engineering) to deploy agents in production environments. Optimize performance of agentic systems for scalability, latency, and robustness. Conduct experiments and evaluations on agent behavior, adaptability, and long-term autonomy. Stay current with research and best practices in autonomous agents, AI planning, reinforcement learning, and related domains. Qualifications Required: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field 3+ years experience in AI/ML software development, with a focus on autonomous agents or AI planning. Strong proficiency in Python and familiarity with frameworks such as Lang Chain, Auto Gen, or custom agentic toolkits. Experience with LLMs, transformers, and integrating language models into agent workflows. Solid understanding of one or more of: reinforcement learning, cognitive architectures, symbolic reasoning, or decision-making systems. Preferred: Experience with cloud-based deployment of AI systems (e.g., AWS, GCP, Azure) Published work in agentic AI, multi-agent systems, or autonomous learning. Contributions to open-source agentic AI tools or frameworks. What We Offer: Join a rapidly expanding, global organization leading the charge in digital transformation with cutting-edge technologies. Remote work environment to support work-life balance. Opportunity to grow in a fast-paced and emerging domain. Inclusive and collaborative team culture where your ideas matter. Competitive compensation package with performance-based incentives to reward excellence and drive measurable results. At Sundew, we are on a mission to explore and shape the future of generative AI. If you're curious, creative, and ready to learn, this is your chance to grow with a company that's pushing the boundaries of digital innovation.

Role Summary: We are looking to hire Junior Gen AI Developers with hands-on experience in building and deploying Generative AI applications. Candidates must have actively contributed to at least one real-time project rollout to a customer. At least 6 months of hands-on experience in Gen AI application development Exposure to real-time Gen AI project rollout Ability to develop AI Assistants and Agents Experience in deploying Gen AI applications on cloud (Azure, AWS) or on-premises infrastructure Strong understanding and implementation of prompt engineering techniques Understand the use case and design AI solution which fits for customer needs Develop AI Assistants and Agents using GenAI AI platforms Deploy on any cloud or on Prem infrastructure Experience in using different prompt techniques Experience in testing & finetuning the Gen AI solutions Experience in implementing Guardrails as per customer needs

Expertise in Python programming and Good knowledge on any one Python framework like Django / Flask etc Demonstrate very good knowledge of Generative AI concepts such as Lang chain, RAG, Agentic AI Frameworks etc. Fair knowledge of API Testing & Azure Cloud Ecosystem. Knowledge of Traditional AI/ML Models. Knowledge of Data Analysis/Data Pre-processing

Expertise in Python programming and Good knowledge on any one Python framework like Django / Flask etc Demonstrate very good knowledge of Generative AI concepts such as Lang chain, RAG, Agentic AI Frameworks etc. Fair knowledge of API Testing & Azure Cloud Ecosystem. Knowledge of Traditional AI/ML Models. Knowledge of Data Analysis/Data Pre-processing

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

Gen AI developer position with Hexaware Technologies ! Exp: 9 to 15 years Location: Chennai Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology