55 Haystack Jobs

As an experienced software engineer in the field of AI/ML or Agentic AI systems, you will be responsible for a variety of tasks and projects related to cutting-edge technologies. Your role will involve utilizing your deep experience with LLMs, embeddings, vector search, knowledge graphs, and RAG/GraphRAG pipelines. Your programming expertise in Python, including knowledge of LangChain, Haystack, FastAPI, and modern backend frameworks, will be essential for this position. Key Responsibilities: - Designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Utilizing AI frameworks such as LangChain, Hugging Face, OpenAI/Anthropic, Autogen, and Semantic Kernel - I...

We are looking for a senior engineer who specializes in LLM systems, prompt engineering, and agentic application deployment, combined with strong MLOps and cloud platform engineering experience. You will design, deploy, and scale Generative AI models, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks on OCI. In this role, you'll work closely with data scientists, platform architects, and research teams to build production-grade AI systems, including: LLM finetuning and adaptation Prompt and prompt-chain optimization Multi-agent orchestration frameworks Automated evaluation and guardrail systems Model + data drift monitoring and continuous retraining workflows Yo...

Role Overview: As an Applied AI Engineer at Instant Markets, a venture of Instant Systems Inc., you will be responsible for leveraging the latest in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP) to develop cutting-edge applications such as intelligent assistants, semantic search, and AI copilots. Your role will involve designing and implementing LLM-based applications, building RAG pipelines, applying NLP techniques, fine-tuning pretrained LLMs, developing ML pipelines, working with APIs, collaborating with cross-functional teams, and monitoring model performance. Key Responsibilities: - Design and implement LLM-based applications u...

Job Title: AI/ML Engineer Experience Required: 4 to 8 Years CONTRACTUAL JOB: 3 MONTHS Location: Pune (Work from Office) About the Role We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions. Key Responsibilities Design, build, and deploy scalable machine learning and AI models for real-world applications. Work closely with data scientists, engineers, and business stake...

About the Product You will work on IRISS's conversational analytics platform, a GenAI-powered chatbot that transforms natural language queries into validated, compliant, and tenant-aware SQL and visual insights. This platform enables users to ask business questions like Show me last month's motor temperature anomalies in Plant 3 and get immediate, accurate dashboards and reports generated safely through AI-driven data pipelines. Our AI stack: - Interprets user intent using LLMs. - Generates validated, policy-compliant SQL. - Executes and visualizes data with context and feedback loops. - Powers a RAG-based (Retrieval-Augmented Generation) framework integrated with existing IoT and analytics ...

As a visionary and hands-on Generative AI Architect at Techvantage.ai, you will be responsible for leading the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and cutting-edge GenAI capabilities into real-world applications. Your role will involve architecting and leading end-to-end solutions, designing robust and scalable architectures, evaluating and integrating open-source and proprietary models, collaborating with cross-functional teams, and ensuring adherence to ethical AI practices. Additionally, you will contribute to internal GenAI accelerators, stay updated on AI/ML advancements, and drive PoCs and pilot implemen...

Job Title: AI/ML Engineer Experience Required: 4 to 8 Years Location: Pune (Work from Office) About the Role We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions. Key Responsibilities Design, build, and deploy scalable machine learning and AI models for real-world applications. Work closely with data scientists, engineers, and business stakeholders to identify and de...

As a Principal Associate, Full Stack Engineer at Capital One, you will be part of the Machine Learning Experience (MLX) team focusing on observability and model governance automation for cutting-edge generative AI use cases. Your role will involve building solutions to collect metadata, metrics, and insights from the large-scale genAI platform. You will work on developing intelligent solutions to gain deep insights into the platform's performance and compliance with industry standards. **Key Responsibilities:** - Lead the design and implementation of observability tools and dashboards to provide actionable insights into platform performance and health. - Utilize Generative AI models to enhan...

Key Responsibilities Designing and Developing AI models, creating architectures, algorithms, and frameworks for generative AI. Implementing AI models into existing systems and applications. Collaborating with teams like data scientists, product managers, and stakeholders. Testing, deploying, monitoring, and optimizing AI models for performance. Staying updated with the latest advancements in Gen AI techniques. Required Skills Strong programming skills in Python. Knowledge of Generative AI, NLP, and LLMs. Experience with RAG pipelines and vector databases. Familiarity with AI frameworks like LangChain, Haystack, and open-source libraries. Understanding of prompt engineering and tokenization. ...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understandi...

Senior Lead AI Engineering (LangGraph / Haystack / RAG Systems) Location: India (Remote / Hybrid) Experience: 812 Years Department: AI & Data Engineering Reports To: Director AI & Platform Engineering About Codvo.ai At Codvo.ai, we are building NeIO an AI-native enterprise platform powering intelligent operations across industries like Oil & Gas, Mortgage, and Legal. NeIO fuses Data Engineering, AI Agents, and MLOps into production-ready, auditable systems that drive real business outcomes. You'll lead a Fusion Team blending data engineers, AI developers, and domain experts to design scalable, explainable, and high-performance AI workflows that bring automation to life. Role Overview As Seni...

10+ years of experience in data architecture, distributed systems, or ML platform engineering. Deep experience building on-premises or hybrid data systems (e.g., Spark, Kafka, Trino, Iceberg, Airflow). Strong understanding of LLM architecture, embeddings, vector search, and agentic workflows. Proven experience designing and implementing ML pipelines, inference runtimes, and data retrieval frameworks. Proficiency with at least one programming language (e.g., Python, Go, Java) and AI/ML frameworks (e.g., LangChain, Haystack, Hugging Face Transformers). Demonstrated expertise in designing and building scalable, production-grade RESTful APIs, enabling seamless integration across distributed syst...

Senior AWS Solutions / AI Architect We are seeking a highly skilled Senior AWS Solutions / AI Architect to lead the design and implementation of advanced agentic AI solutions within cloud environments, specifically leveraging AWS services. The ideal candidate will combine deep technical expertise in AI/ML, cloud-native architectures, and healthcare domain experience to deliver scalable, compliant, and innovative solutions that drive business outcomes. Requirements Architect and lead the design of agentic AI systems utilizing AWS services such as Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and DynamoDB. Design and implement multi-agent orchestration frameworks for cli...

Vinove Software & Services Ltd. (CMMi 3 & A Great Place To Work), We have urgent requirements for Multiple Skills - JS Developer (MEAN / MERN), Data Scientist (Gen Ai & Agentic Ai), .NET Developer, QA - Automation (Cypress, Playwright) and more and you can find the detailed job description and company information enclosed below for your reference. Vinove Software & Services (P) Ltd. 11th Floor, Max Square, Noida-Greater Noida Expressway, Sector 129, Noida, Uttar Pradesh 201304 Requirement #1. FullStack Developer (MEAN / MERN) with knowledge in VueJS Experience : 7 to 12 Years Number of vacancies : 05 Frontend: React/Angular/Vue, HTML5, CSS3, JavaScript/TypeScript Backend: Node.js, Java, Pyth...

About this Opportunity Join our collaborative team to build and maintain scalable backend services that power GenAI applications. Youll be working closely with UI developers, ML engineers, and product teams to deliver seamless, end-to-end AI-driven solutions. What You Will Do - Design, develop, and maintain backend services for GenAI solutions. - Collaborate across disciplines to integrate AI capabilities into applications. - Write modular, testable, and efficient Python code following best practices. - Develop RESTful and GraphQL APIs to expose services to front-end and external systems. - Create ETL pipelines and data preprocessing workflows for structured and unstructured data. - Optimize...

Join us as a Senior Software Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. To be successful as a Senior Software Engineer, you should have experience with: Technical Skills: Expertise in SPARK/Scala development through the full software development lifecycle (SDLC), including design, development, testing, and deployment. ETL & Data Pipelines: Build and optimize ETL processes and data pipelines for large-scale data processing using Apache Spark, Scala, Hive, and Airflow. DevOps & CI/CD: Implement an...

As an experienced Full Stack Developer, you will be responsible for owning the full stack of the company's products. This includes architecting, implementing, and maintaining backend services in Python/Django and modern frontend SPAs in React. You will also lead and mentor the engineering team by establishing best practices, conducting code reviews, and coaching junior developers or contractors as the team grows. Key Responsibilities: - Architect, implement, and maintain backend services in Python/Django and modern frontend SPAs in React - Lead and mentor the engineering team by establishing best practices and conducting code reviews - Prototype and productionize RAG pipelines using Haystack...

**Job Description** You will be part of a software division at iCuerious, focusing on developing intelligent applications and automation tools. Your role as a Full Stack Developer Custom AI Applications will involve designing and developing interactive applications, AI-backed dashboards, and customized AI agents for specific business use cases. Additionally, you will integrate AI/ML frameworks into production-grade applications, build scalable APIs, ensure seamless data flow between different systems, apply data analytics techniques, collaborate with business teams, optimize applications, and contribute to architecture design and best practices. **Key Responsibilities** - Design, develop, an...

As an AI/ML Senior Engineer at our company, you will be a valuable member of the AI Engineering team, contributing your expertise in Natural Language Processing (NLP), Generative AI, and Machine Learning (ML) to work on cutting-edge AI models. Your primary responsibilities will include: - Developing and optimizing AI models using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic Systems for real-world applications. - Fine-tuning and optimizing LLMs for domain-specific tasks to ensure scalability and efficiency. - Designing and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance information retrieval and reasoning. - Applying Prompt Engineering...

Key Responsibilities Design, build, and productionize scalable ML/GenAI models and pipelines with a focus on reliability and precision Develop retrieval-augmented generation (RAG) pipelines and agentic systems using advanced LLMs Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases Architect and implement multi-agent frameworks (tool-augmented reasoning, orchestration, memory management) Deliver robust APIs and services for ML/GenAI models with performance and cost optimization in mind Collaborate with software engineers and DevOps teams to scale AI systems across environments (cloud, hybrid, on-prem) Drive automation in model deployme...

Role Overview: You are a highly skilled Generative AI Solution Architect with expertise in Agentic AI frameworks and Small Language Models (SLMs). Your role involves designing, architecting, and deploying scalable AI-driven solutions in industrial contexts to enhance operations in various sectors such as manufacturing, oil & gas, transportation, energy, smart infrastructure, and related verticals. Key Responsibilities: - Lead the end-to-end design and deployment of generative AI systems using LLMs and SLMs, integrated with Agentic AI workflows for autonomous reasoning, planning, and execution in complex industrial environments. - Select and fine-tune Small Language Models for domain-specific...

We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Duties and Responsibilities:- ? Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. ? Design and implement databases in Postgres DB, apply &; implement ingestion and retrieval pipelines using pgvec...

As an AI Architect at NiCE, you will play a crucial role in building scalable AI systems and infrastructure to handle large datasets effectively, ensuring optimal performance, reliability, and maintainability. Your primary responsibilities will include: - Leading the development of secure and compliant data and machine learning pipelines in alignment with data governance and regulatory standards like GDPR. - Designing, developing, and implementing AI models and algorithms to address real-world business challenges, contributing to both proof-of-concept (POC) and production-grade solutions. - Mentoring and guiding team members on AI technologies, best practices, and system architecture to fost...

Software Developer Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLMs . Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks. Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications. Integrate LLMs with APIs, databases, vector stores, and enterprise applications. Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments). Collaborate with cross-functional teams (data engineers, product managers, software engineers) to deliver end-to-end AI solutions. Stay updated with the latest advancements in AI, ML, and GenAI research and pr...

Role Overview: As an experienced professional with over 10 years of total experience, you are seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Key Responsibilities: - Lead LLM/GenAI projects from Proof-of-Concept to Production - Understand clients" business use cases and technical requirements to create elegant technical designs - Map decisi...