58 Anthropic Jobs

Role Overview: You will be joining the Developer Enablement team within the CTO organization with a focus on revolutionizing how policies, standards, and controls are managed through an "everything-as-code" initiative. Your main responsibility will be to design, develop, and test software applications using Large Language Models and AI capabilities, ensuring high-quality software with exceptional user experiences. Key Responsibilities: - Design, develop, and test software applications leveraging Large Language Models and AI capabilities - Collaborate closely with team members to deliver software on time and within budget - Set standards for excellence in software development and user experiences - Stay updated on software development trends and AI/ML technologies - Ensure software platforms comply with security and Software Development Life Cycle processes - Drive adoption of everything-as-code and codified controls mindset across the organization - Develop robust prompt engineering strategies and AI workflow automation - Integrate and optimize Large Language Model capabilities in production applications Qualifications Required: - Proven experience as a Full-Stack Software Engineer in product-focused teams - Strong experience in delivering production code, preferably in Python, Go, and TypeScript - Experience in agile software development environments - Demonstrated experience with distributed systems, event-driven architectures, microservices, SQL and NoSQL databases, DevSecOps practices Additional Company Details: The team works extensively with Generative AI technologies, such as GPT-4 and Gemini, integrating their capabilities into systems through advanced prompt engineering and API integration. The tech stack includes Python, Go, TypeScript, React, Kubernetes, MongoDB, and Generative AI integrations, requiring adaptability and commitment to continuous learning. You will be encouraged to drive cultural change by fostering a culture of continuous improvement and critical thinking about controls and processes. (Note: Additional details about the company were not explicitly mentioned in the provided job description.),

About the Role We are seeking a Senior AI Engineer with strong expertise in Large Language Models (LLMs), intelligent agents, and data science workflows . This role will focus on building AI-driven systems, automated research pipelines, and applied data insights that support decision-making and business growth. The ideal candidate has hands-on experience in both AI engineering and data science , with the ability to design end-to-end solutions from extracting and structuring data, to designing LLM-powered workflows and delivering business-ready insights. Key Responsibilities 1. AI Workflow & Agent Development Design and implement AI-powered workflows and agents that can autonomously research, analyze, and summarize information. Integrate LLMs with external APIs, search engines, and automation tools (e.g., n8n, LangChain, custom pipelines). Build repeatable and scalable systems that reduce manual research and improve efficiency. 2. Data Science & Insights Generation Collect and process structured and unstructured data from APIs, sitemaps, and web sources. Apply analytical methods to uncover trends, patterns, and benchmarks. Use AI/ML to enrich raw data (summarization, clustering, content scoring, categorization). Translate raw outputs into actionable insights for business stakeholders . 3. Prompt Engineering & LLM Applications Design advanced prompt strategies for different research and analysis scenarios. Experiment with LLMs to balance training-data knowledge vs real-time information retrieval. Build pipelines that evaluate brand, product, or market visibility through AI-driven queries. 4. Automation & Scalability Develop repeatable, modular pipelines that can be applied across different industries or data sources. Optimize workflows for performance, cost, and accuracy. Explore opportunities to productionize solutions for long-term adoption. 5. Collaboration & Communication Work closely with business and marketing teams to align AI outputs with strategic goals. Present complex technical results in simple, actionable formats. Stay updated on advancements in AI/ML tools and recommend adoption strategies. Qualifications Education : Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. Experience : 5+ years in AI/ML engineering, with significant hands-on work in LLM-based applications . Technical Skills : Strong in Python (pandas, numpy, scikit-learn, BeautifulSoup, Playwright, LangChain, etc.). Hands-on with LLMs (OpenAI, Anthropic, HuggingFace ecosystem). Experience in workflow/agent frameworks (LangChain, LlamaIndex, n8n, Airflow). Familiarity with search APIs (Bing, SerpAPI, Tavily) and web scraping methods. Data visualization (Matplotlib, Plotly, Tableau/PowerBI). Understanding of data governance, trust & safety, and evaluation frameworks (e.g., EEAT for content). Soft Skills : Strong problem-solving ability with an experimental mindset. Ability to connect technical outputs with business impact . Excellent communication and documentation skills. Self-driven and comfortable working in ambiguous, evolving problem spaces . Why Join Us Build cutting-edge AI agents and workflows that directly influence strategic decisions. Work at the intersection of AI, data science, and business intelligence . Freedom to experiment with emerging AI technologies and shape scalable solutions. Collaborative culture where innovation and results are valued over bureaucracy.

Title - Application Engineer AI SME ( AI Admin) Type - Contract Location - Remote NOTE: This is not a developer or engineer role. Roles and Responsibilities: - Configure and manage data privacy controls to prevent the training of AI models on sensitive data and enforce zero-retention policies. - Deliver comprehensive audit logs, compliance reporting, and monitoring for OpenAI usage to ensure adherence to regulatory standards. - Implement robust guardrails and moderation tools, including fine-tuned safety layers, to enhance the security and reliability of AI applications. - Track and analyze model performance and usage metrics, producing regular reports for leadership to inform strategic decisions. - Optimize prompt engineering and evaluate cost/performance trade-offs, such as comparing GPT-4 and GPT-4o mini, to maximize efficiency and effectiveness. - Troubleshoot and resolve technical issues related to API calls, latency, and integration failures, ensuring seamless operation of AI tools. - Maintain a detailed internal admin guide with setup/configuration steps, governance rules, and best practices for AI tool management. - Develop and maintain knowledge bases and wikis for developers and end users to facilitate knowledge sharing and skill development. - Deliver training sessions for IT staff to expand their expertise in managing OpenAI tools and ensure comprehensive admin coverage. - Serve as the Tier 3 escalation point for OpenAI-related incidents, providing expert-level support and resolution. - Collaborate with security, compliance, and engineering teams to expand the safe and responsible use of AI tools across the organization. Key Deliverables: - Serve as the Subject Matter Expert (SME) for AI tools and oversee their overall governance. - Address and resolve issues related to the Default Project space, ensuring optimal functionality. - Ensure the security of the AI environment and its data by mitigating open business risks. - Enable AI tool functionalities for third-party applications, starting with a general introduction and expanding capabilities as needed. Qualifications: - Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is preferred. - 5-8 years of experience in AI applications engineering or a related role. - Demonstrated proficiency in AI tools, particularly Google Gemini, OpenAI, and Anthropic. - Strong understanding of data privacy controls and compliance requirements. - Experience in configuring and managing AI tool environments securely and effectively. - Excellent problem-solving and troubleshooting skills, with the ability to handle complex technical issues. - Strong communication and collaboration skills, with experience delivering training and creating documentation. Show more Show less

As a Full Stack Developer Custom AI Applications at iCuerious, you will have the opportunity to design and develop interactive applications, AI-backed dashboards, and customized AI agents for specific business use cases. Your role will involve integrating AI/ML frameworks into production-grade applications, building scalable APIs and backend services, and ensuring seamless data integration between frontend, backend, and AI systems. Additionally, you will apply data analytics techniques to extract actionable insights and collaborate with business teams to translate client-facing needs into functional applications. Optimization of applications for high performance, scalability, and security will also be a key responsibility, along with contributing to architecture design and best practices. Key Responsibilities: - Design, develop, and deploy AI-powered dashboards and applications tailored to diverse use cases. - Integrate AI/ML frameworks (LangChain, Rasa, LlamaIndex, Hugging Face, etc.) into production-grade applications. - Build scalable APIs and backend services to support frontend and AI functionalities. - Ensure seamless data integration and flow between frontend, backend, and AI systems. - Apply data analytics techniques to extract actionable insights, visualize trends, and improve AI-driven decision-making. - Collaborate with business teams to understand client-facing needs and translate them into functional applications. - Optimize applications for high performance, scalability, and security. - Contribute to architecture design, code reviews, and best practices. Required Skills & Qualifications: - 4-10 years of experience in full stack development and/or AI/ML application development. - Proficiency in Python (preferred), and JavaScript/TypeScript (Node.js, React, or Next.js). - Strong understanding of frontend frameworks (React, Next.js, Angular, or Vue). - Hands-on experience with AI bot frameworks (Rasa, LangChain, Haystack, Dialogflow). - Familiarity with NLP, LLMs (OpenAI, HuggingFace, Anthropic) and integrating them into applications. - Strong knowledge of Data Analytics - data processing, visualization, and reporting (Pandas, NumPy, Plotly, Power BI, or Tableau). - Experience with databases (SQL/NoSQL) and API development. - Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Bonus Skills: - Experience in building SaaS, RaaS (Research-as-a-Service), dashboards, or enterprise-grade applications. - UI/UX design capabilities for intuitive AI and data-driven applications. - Understanding of IP/legal domain data (preferred but not mandatory). What We Offer: - Opportunity to build intelligent AI applications and data analytics from the ground up. - Exposure to cutting-edge AI and automation technologies. - A collaborative, entrepreneurial environment where your work has a direct impact. - Competitive compensation with strong growth prospects as the division expands. Interested candidates are invited to apply by sending their resume to aditi.gupta@icuerious.com and hr@icuerious.com, or by applying directly via this job post. Shortlisted candidates will be contacted for the next stage of the hiring process.,

Role Overview We are seeking a highly versatile Full Stack Developer with expertise in building modern, scalable, and AI-powered applications. The role involves end-to-end ownership of projects - from conceptualization and architecture to development, deployment, and optimization. You will work across multiple domains including React-based frontends, Node.js backends, & AI integrations Key Responsibilities Frontend Development Build and maintain responsive, scalable React.js applications with TypeScript integration. Backend Development Design and implement REST APIs and microservices with Node.js and Express. Develop scalable MongoDB schemas. Other Contributions Optimize React build times and project structures. Develop internal tools for progress tracking, scoring, and gamification (badges, leaderboards, completion steps). Document logic, APIs, schemas, and workflows for smooth handovers. Key Skills & Tools Frontend: React.js, TypeScript, Tailwind, Framer Motion Backend: Node.js, Express.js, MongoDB GenAI : Exposure to api connections and limitations with Anthropic/OpenAI Other: REST APIs, Git, Docker (basic), cloud integrations Who You Are A self-starter who takes ownership from idea to execution. Comfortable working across multiple tech stacks and domains simultaneously . Someone who enjoys experimenting with AI , pushing the limits of automation, and creating products that impact users. Highly detail-oriented with strong problem-solving skills. Show more Show less

You are a seasoned full-stack developer with a strong background in AI/ML and expertise in market and website analytics. Your primary responsibility will be to contribute strategically to the development of intelligent platforms and drive data-informed decisions. You will be tasked with architecting and developing scalable, modular systems using technologies such as Node.js, React/Next.js, PostgreSQL/MongoDB, and GraphQL/REST APIs. Additionally, you will build extensible APIs and content management workflows, leveraging tools like OpenAI, Anthropic, or Gemini APIs to implement features like automated FAQ generation, AI visibility scoring, and citation-ready content enrichment. Your role will also involve implementing and analyzing data from various analytics tools such as Google Analytics, Mixpanel, Amplitude, and Hotjar. You will be responsible for developing dashboards and data visualizations to support marketing and product teams, working closely with designers, data engineers, and product managers to align technology with business strategy. As the owner of product performance and conversion metrics, you will conduct regular audits and drive continuous improvements. By evaluating user behavior, funnels, and attribution, you will contribute to enhancing product and marketing decisions. To excel in this role, you must possess strong full-stack capabilities, including proficiency in JavaScript, Node.js, React/Angular, APIs, and databases. You should also have a solid understanding and practical experience in AI/ML frameworks such as Python, TensorFlow, Hugging Face, OpenAI API, and Langchain. Experience in implementing bot tracking pipelines and familiarity with tools like server logs, Cloudflare bot management, or custom bot classification systems will be advantageous. Additionally, knowledge of measuring AI Answer Engine (AEO) performance metrics is essential, including visibility in AI answers, citation signals, crawl frequency, and interaction patterns. You should be comfortable collaborating with a business co-founder and thrive in fast-paced, product-centric environments. This position was posted by Grishma Vachhani from Digicorp Information Systems.,

AI Architect Agentic AI Platform Role Overview We are seeking an experienced AI Solution Architect to lead the design and development of an Agentic AI platform for the Mortgage Industry. The ideal candidate will combine deep technical expertise in AI/ML and LLMOps with strong domain knowledge in financial services, mortgage processes, and regulatory compliance. This role requires defining the multi-agent orchestration framework, integration strategy, and ensuring scalability, security, and reliability of the platform. Location: Hyderabad (Preferred)/ Remote Experience: 12+ Years Key Responsibilities Architect end-to-end Agentic AI ecosystem for mortgage workflows (KYC, credit scoring, risk evaluation, loan origination, compliance checks). Design the multi-agent orchestration layer (task delegation, planning, monitoring, feedback loops). Define LLMOps/MLOps pipelines for continuous training, testing, and deployment of AI agents. Ensure platform scalability, fault tolerance, and secure integration with core banking systems, CRMs, and external APIs (credit bureaus, KYC vendors). Select and optimize AI frameworks (LangChain, LlamaIndex, Haystack, DSPy, Hugging Face). Work with compliance and legal teams to ensure GDPR, CCPA, and financial regulations (FCRA, AML/KYC, Basel III) are adhered to. Mentor technical teams and establish best practices for AI agent design and governance. Required Skills & Experience At least 5 years in AI/ML Solution architecture & proven experience architecting AI-powered enterprise platforms, preferably in financial services/mortgage. Strong knowledge of LLMs, Retrieval-Augmented Generation (RAG), fine-tuning, embeddings, and vector databases. Experience with cloud platforms (Azure AI/ML, AWS Sagemaker, GCP Vertex AI) and containerized deployments (Docker, Kubernetes). Hands-on with LangChain, OpenAI, Anthropic, Cohere, or open-source LLMs (LLaMA, Falcon, Mistral). Expertise in MLOps/LLMOps, CI/CD pipelines, observability, and model governance. Familiarity with mortgage lifecycle systems (loan origination systems, underwriting platforms, credit risk engines). Strong communication skills and ability to work cross-functionally. Show more Show less

Job Description SDE I :: AI Engineer About Uniqus Consultech Uniqus Consultech is a global tech-enabled consulting company specializing in Accounting & Reporting, ESG, and Tech Consulting. Founded in December 2022 by consulting veterans and backed by marquee investors like Nexus Venture Partners and Sorin Investments, we operate across the USA, India, and the Middle East with 400+ professionals serving 200+ leading clients. Were in hypergrowth mode and so is our engineering team. Role Overview We are looking for a talented Software Development Engineer (SDE-1) to join our high-velocity AI engineering team. Youll work closely with AI Engineers and Product Managers to build cutting-edge AI-powered applications, integrating LLMs and agentic workflows into scalable products. If you love moving fast, leveraging AI tools for 10x output, and shipping impactful features, this is your place. Location - Bangalore, Mumbai & Gurgaon Key Responsibilities Build and integrate AI-first features, leveraging LLM APIs, LangChain, and related frameworks. Develop backend services (Node.js, FastAPI) and frontend applications (React, Next.js) for AI-powered products. Collaborate closely with AI Engineers and PMs to design, develop, and deploy features. Leverage AI coding assistants (ChatGPT, Claude, Cursor, etc.) for rapid prototyping and delivery. Contribute to robust data pipelines and scalable system architecture. Continuously learn and apply new AI frameworks, tools, and APIs. Technical Skills AI/ML: LLM APIs (OpenAI, Anthropic), LangChain, agentic workflows. Backend: Node.js, FastAPI, REST/GraphQL APIs. Frontend: React.js, Next.js (nice-to-have). Databases: PostgreSQL, MongoDB, Redis. Tooling & Deployment: Docker, Git, AWS/GCP. Strong understanding of modern web architecture. Qualifications 13 years of experience in software development (AI exposure preferred). Bachelor&aposs degree in Computer Science, Software Engineering, or related field. Proven ability to learn fast and adapt in a high-paced environment. Passion for AI applications and using AI tools to supercharge productivity. Why Join Us At Uniqus, youll work in a high-velocity, high-growth environment where AI is not an experiment its our core. Youll get to: Build real-world AI applications used by global enterprises. Collaborate with top-tier engineers and product leaders. Leverage the best AI tools to 10x your output. Grow alongside a company backed by some of the best investors in the industry. Show more Show less

One of the Healthcare AI Product Start ups based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products in a start up environment, let us connect and discuss. Title: AI Engineer Experience: 3 to 5 yrs Qualification: B.Tech / M.Tech Job Location: Hyderabad Job Type & Model: Permanent & Hybrid Position Overview: We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies. This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture team. Key Responsibilities: AI Application Development: Build and maintain AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.) Implement prompt engineering strategies and optimize model interactions for performance and cost Develop custom AI workflows including retrieval-augmented generation (RAG) systems Create robust error handling, fallback mechanisms, and response validation systems Model Implementation & Fine-tuning: Fine-tune open-source models (Llama, Mistral, etc.) for specific use cases and domains Implement training pipelines using modern frameworks (PyTorch, Hugging Face Transformers) Conduct model evaluation, A/B testing, and performance optimization Manage model versioning and experiment tracking Production Deployment & Operations: Deploy AI models and applications using FastAPI, Docker, and Kubernetes Build scalable microservices architecture for AI applications Implement monitoring, logging, and alerting for production AI systems Optimize inference performance, latency, and resource utilization Integration & Data Engineering: Integrate AI capabilities into existing systems and workflows Build data pipelines for model training and inference Work with vector databases and embedding systems Implement caching strategies and data preprocessing pipelines Experience: 3+ years of experience in machine learning or software engineering 1+ years of hands-on experience with generative AI and LLM integration Demonstrated experience deploying ML models in production environments Technical Skills: Proficiency with LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.) Experience fine-tuning transformer models using Hugging Face, PyTorch, or similar Strong proficiency in Python and modern software development practices Hands-on experience with FastAPI, Docker, and containerization Experience with Kubernetes for container orchestration Knowledge of RESTful API design and microservices architecture Core Competencies: Understanding of transformer architectures, embeddings, and attention mechanisms Experience with prompt engineering and model optimization techniques Familiarity with MLOps practices and tools (model versioning, monitoring, CI/CD) Strong debugging and troubleshooting skills Ability to work with large-scale data and distributed systems

Lead Enterprise Software Engineer Location: Chennai Experience Range : 10 to 16 Years Wolters Kluwer is looking for a hands-on Automation Engineer in our Enterprise Systems Software Engineering Team to design, deploy, support, operation, and integrate next generation of Enhanced Monitoring Observability cloud applications. Working within our Engineering/Automation areas, the senior cloud engineer (Lead Enterprise Software Engineer) will be collaborating closely with Architecture, Networking, Global Hosting, Cloud Operations, GIS Security, Compliance, Product Development teams and other key stakeholders, to ensure the applications are built in a resilient, secure, and scalable manner along with the standards. This role will be pivotal in driving automation across Enterprise Cloud infrastructure as part of Dev Sec Ops portfolio. The ideal candidate will have deep experience in IaC, production-grade automation, cross-cloud resiliency, and operational excellence. The engineers are relied on for automating activities that are otherwise manual and bringing efficiencies to existing processes. In addition, automation engineers champion the development of reusable solutions/templates taking advantage of the latest capabilities that cloud monitoring has to offer. Essential Duties and responsibilities Implementation/support/maintenance of AIOps/ system which is used by multiple development and operations teams. Implementation of plugins / integration components to existing monitoring solutions (commercial and custom). Work with product team in containerizing applications, debugging issues and assisting with app transformation. Implement full stack monitoring to ensure infra, cloud platform, OS, apps telemetry Work to continually improve time to market products and releases by proposing innovative solutions to automate Provide input into architecture and engineering standards Prepare and maintain the architectural documentation Explore new technologies, development patterns, and partake in pilots/POC/technology evaluations Coordinate and assist in complex troubleshooting in production support/operations IaC Development & Automation Design, develop, and maintain Infrastructure as Code (IaC) modules using tools such as Terraform, ARM, Bicep, CloudFormation, and Ansible for multi-cloud environments. Build Just-In-Time reusable ADO pipelines integrated with YAML-based deployment patterns and application-driven inputs for automated recovery and provisioning. Disaster Recovery & AIops Engineering Lead technical design and implementation of automated DRA pipelines including failover/failback strategies across AWS and Azure. Implement infrastructure workflows as part of AIOps for automated trend analysis, load balancer control, firewall posture tracking, and vulnerability remediation. Production Reliability & Incident Support Act as Tier-4 engineering escalation point for complex production incidents, root cause analysis, and recovery automation. Develop self-healing mechanisms and monitoring enhancements using cloud-native tools (e.g., AWS CloudWatch, Azure Monitor, Tanium). Ability to debug and handle complex incidents in production environments with composure. Security & Compliance Integration Support infrastructure compliance with frameworks such as NIST, SOC2, PCI-DSS, by embedding automated posture checks and remediation in CI/CD. Participate in weekly vulnerability reviews, risk register updates, and remediation rollout across cloud environments. Collaboration & Documentation Collaborate with product owners, QA, business analysts, and application teams to translate functional use cases into automated infrastructure solutions. Maintain documentation for automation workflows, pipeline standards, and reusable modules. Required Skills & Qualifications Tools and Tech Proficiency needed (out of 5) CI/CD with Azure DevOps 4 Git/Github 4 Jenkins 3 API development 3 SQL server database management (good to have) 2 Oracle server database management 2 IaC - Terraform , Arm/Bicep/ Cloud formation 4 Bash scripting 2 Powershell scripting 4 Azure function 4 Python (AWS lambda) 4 Prompt engineering AI (AWS Q, Bedrock , Anthropic, Gen AI) integration - plug and play 3 Preferred Qualifications Certifications: Terraform Associate, AWS/Azure Architect, CKA/CKAD preferred. Experience with AI/ML-driven operations tools or auto-remediation frameworks. Exposure to SRE practices, Observability stack, and incident automation. Soft Skills Proactive ownership of initiatives with a delivery-first mindset. Strong cross-functional communication and ability to work in agile pods. Clear documentation and reporting skills (contributing to audit and security reviews). Actively explore new trends and identify new ways of solving old problems Serves as a peer leader to other developers and develops technical skills and practices for high-quality software development Liaise with other teams and stakeholders, adhering to standards and coordinating approaches. participate in Agile activities and assist the development and testing process changes as and when required. Other Duties Performs other duties as assigned by management Job Qualifications & EXPERIENCE Education: Preferred: Bachelor's degree in Computer Science, Information Systems, or a related field Experience: Required: 10+ years experience in Software Engineering, Cloud DevOps Role 6+ years experience in writing IaC templates 6+ years writing programmatic deployment artifacts for enterprise applications 6+ years experience working with CI/CD tools (Azure DevOps, GitLab, GitHub, Jenkins or other well-known tools) 6+ years experience with Kubernetes and Prometheus 6+ years experience in Monitoring systems: Zabbix and/or Prometheus (experience in Data Dog / New Relic / Dynatrace / AppDynamics will be plus), cloud native monitoring solutions (AWS CloudWatch/X-Ray, Azure Monitoring) 5+ years experience in Logging solutions: preferable Elasticsearch 4+ years experience in Visualization tools: Grafana/Kibana 4+ years experience in Scripting: Bash and/or PowerShell, Python 4+ years strong experience in Architectural 4+ years strong experience in Networking skills 4+ years strong experience in Linux A strong DevOps experience on AWS & Azure Expertise in a SCM/CI/CD tool like GitHub, Gitlab, Jenkins 4+ experience with SQL 2+ Certifications in AWS and Azure Soft Skills Required: Able to work independently, Lead the initiatives, Mentor/help the Org to build next gen team Seniority: Individual Contributor Lead TraVEl requirements None Physical Demands Normal professional office environment.

6+ years of software engineering experience, including 23 years building AI-powered product features . Proven ability to ship AI-driven features in a production SaaS environment. Strong skills in Python (AI workflows) and TypeScript/Node.js (backend integration). Familiarity with React for embedding AI into front-end experiences. Experience with vector databases and retrieval workflows. Solid understanding of systems design and SaaS architecture , especially for AI integrations. Strong focus on building production-ready code that is robust, maintainable, and scalable. Pragmatic, business-oriented mindset—you think in terms of user workflows and measurable client value.

As an AI Engineer at Cognizant working with the CAIL/ Evolutionary AI team (LEAF), you will join a rapidly growing consulting and IT services Fortune 500 company with a flexible international business environment. Your role will involve collaborating with institutions, academia, and technology partners to develop groundbreaking AI solutions responsibly. The mission of the AI Labs is to maximize human potential with decision AI by utilizing multi-agent architectures, generative AI, deep learning, evolutionary AI, and trustworthy techniques to create sophisticated decision-making systems. Your responsibilities will include being a customer advocate for implementing Neuro AI offerings, designing and implementing advanced AI models focusing on generative AI, agents, and foundation models for enterprises. You will build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Additionally, you will experiment with multi-agent systems framework to create context-aware, goal-driven agents integrated into workflows. Collaboration with cross-disciplinary teams to conceptualize and develop AI-based solutions and demos, contributing to research publications, engaging in open-source communities, and preparing internal technical documents and presentations are also part of your role. Working in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team is essential. To qualify for this role, you should have a Bachelor's/Master's degree in Computer Science, Data Science, or related Engineering field with a focus on AI/EA, software development, and algorithm design. A minimum of 3 years of experience in an AI/ML engineering role in an enterprise, research, or innovation lab setting is preferred. Strong programming skills in Python, along with experience in AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic, etc., are required. You should have a solid understanding of AI agent frameworks, strong interest in agentic AI research, and the ability to work autonomously on projects involving small and large teams. Experience in cloud environments like AWS, Azure, Google Cloud, and familiarity with relational, structured, semi-structured, and unstructured data systems are also necessary. Excellent verbal and written communication skills in English are essential. Preferred qualifications include experience with RESTful services, JSON, XML metadata, Docker containers, machine learning, evolutionary algorithms, open-source projects, design patterns, enterprise architecture patterns, and research publications. Furthermore, experience in IT services, consulting, client-facing roles, familiarity with cloud platforms, and enterprise AI solution deployment are highly desirable. Continuous learning, passion for R&D, and a long-term mindset are also valued qualities for this role.,

Requirements 45 years of experience as an ML Engineer or Applied Scientist in production Strong Python skills (FastAPI/Flask), with PyTorch or TensorFlow Proficient in building data pipelines and deploying ML systems Experience with LLMs, embeddings, RAG systems, and vector DBs (PGVector/Postgres preferred) Hands-on with multiple LLM providers (OpenAI, Anthropic, Google, open-source) Knowledge of containerization and deployment (Docker, Kubernetes, AWS/GCP, CI/CD) Bonus: Familiarity with LangGraph/LangChain, vLLM, Ray, LLM eval tools, or event-driven systems Responsibilities Build and scale ML pipelines for Novas AI teammates Implement agentic AI workflows with LLMs and orchestration frameworks Design and optimize RAG pipelines for performance and accuracy Build connectors to integrate AI with external systems Fine-tune models for domains like finance, legal, and tax Monitor model performance, optimize for cost, latency, and reliability Lead best practices for scalable, production-grade ML Job Details Location: Mulund, Mumbai Interview process Round 1: Technical screening Round 2: ML System Design Round 3: Coding and Hands-on Evaluation Round 4: Cultural Fit and Founder Discussion Show more Show less

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Are you ready to shape the future of learning through cutting-edge AI As a Principal AI/Machine Learning Engineer at Skillsoft, youll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, youll collaborate with internal and external teams to transform knowledge into a catalyst for growthunleashing your edge while helping others do the same. Join us in redefining eLearning for the worlds leading organizations! Responsibilities Hands-on Principal AI/ML engineer, driving technical innovation Partner with product owners to define visionary AI features Collaborate cross-functionally to assess impacts of new AI capabilities Consult and guide teams to productize prototypes with provable accuracy Lead research and selection of COTS and development of in-house AI/ML technologies Evaluate foundational models and emerging AI advancements Explore new technologies and design patterns through impactful prototypes Present research and insights to inspire innovation across teams Guide, design and testing of agentic workflows and prompt engineering Fine-tune models, validate efficacy with metrics, and ensure reliability Evaluate and guide synthetic data generation for training and validation Design and guide scalable data pipelines for AI/ML training and inference Oversee data analysis, curation, and preprocessing Collaborate with external partners on AI development and integration Establish AI design best practices and standards for alignment Contribute to patentable AI innovations Utilize and apply generative AI to increase productivity for yourself and the organization Environment, Tools & Technologies Agile/Scrum Operating Systems Mac, Linux JavaScript, Node.js, Python PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends Langchain, Langgraph, etc. APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure Sagemaker, NIMS SQL: Postgres RDS NoSQL: Cassandra, Elasticsearch (VectorDb) Messaging Kafka, RabbitMQ, SQS Monitoring Prometheus, ELK GitHub, IDE (your choice) Skills & Qualifications 8+ Years of Relevant Industry Experience (with a Masters Degree Preferred) Experience with LLMs and fine-tuning foundation models Development experience including unit testing Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain: Agentic AI development and testing AI security and data privacy concerns Synthetic data generation and concerns Foundation model fine-tuning Generative AI prompt engineering and challenges Attributes For Success Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas, and ability to research and learn new technologies More About Skillsoft Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets their people and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. Show more Show less

Hiring AI Engineers | Multiple Roles | Hybrid/ WFH | Immediate| Apply Today Watch JD for more details: https://youtu.be/-YzVGtZ01SQ Thanks & Regards, Vikrant Hodage Unlock Your Future with Expert Recruitment! Explore Active Open Roles: Job's Portfolio : www.youtube.com/@vikranthodage7217

Role We are seeking a seasoned AI/ML Engineer to join our Cloud Operations (CloudOps) team. The ideal candidate should have strong expertise in designing, developing, and deploying AI/ML models and automation solutions that optimize cloud infrastructure management and operational efficiency. Primary Responsibilities - Design, develop, and deploy machine learning models and AI algorithms to automate cloud infrastructure, monitoring, fault detection, and predictive maintenance. - Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to to integrate AI/ML solutions into cloud orchestration and management platforms. - Build scalable data pipelines and workflows using cloud-native services (preferably AWS, GCP) for real-time and batch ML model training and inference. - Analyze large volumes of cloud telemetry data (logs, metrics, traces) to extract actionable insights using statistical methods and ML techniques. - Implement anomaly detection, capacity forecasting, resource optimization, and automated remediation solutions. - Develop APIs and microservices to expose AI/ML capabilities for CloudOps automation. - Work with SecOps to ensure ML models comply with privacy, and governance standards. - Optimize existing AI/ML workflows for cost, performance, and accuracy. - Stay updated with the latest trends in AI/ML, cloud computing, and infrastructure automation. Skills & Requirements - 6+ years of professional experience in AI/ML engineering, preferably in cloud infrastructure or operations environments. - Strong proficiency in Python (relevant libraries such as pandas and numpy) or R, or similar programming languages used in AI/ML development. - Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or similar. - Hands-on experience with MCP Server, AI Agents, and A2A (Agent-to-Agent) communication - Experience with Large Language Model (LLM) operations (LLM Ops) - Expertise in cloud platforms (AWS, Azure, or GCP) and their AI/ML services (e.g., SageMaker, Bedrock, Anthropic, Azure ML, OpenAI, Vertex AI). - Strong understanding of data structures, algorithms, and statistical modeling. - Experience building and maintaining data pipelines using tools like Apache Spark, Kafka, Airflow, or cloud-native alternatives. - Knowledge of containerization and orchestration (Docker, Kubernetes) to deploy ML models in production. - Familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack) and cloud management platforms. - Experience with CI/CD pipelines and automation tools in cloud environments. - Excellent problem-solving skills and ability to work independently as well as in cross-functional teams. - Strong communication skills for collaborating with technical and non-technical stakeholders. - Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation. - Experience with cybersecurity principles related to cloud and AI/ML systems.

We are seeking a highly experienced Lead Backend Engineer with a strong background in Node.js and deep expertise in Generative AI, LLMs (Large Language Models), and Chatbot development. You will have a significant role in the design, development, and scaling of backend systems that support AI-driven applications and conversational interfaces. Your responsibilities will include designing and implementing scalable backend services and APIs using Node.js and modern frameworks such as Express and NestJS. You will lead the architecture and integration of LLMs (OpenAI, Anthropic, open-source models) into production applications, focusing on prompt engineering to fine-tune LLM outputs for specific business tasks. Additionally, you will be responsible for building and optimizing chatbot platforms and conversational AI pipelines. Collaboration with AI/ML engineers, frontend developers, product managers, and designers to deliver robust AI-driven features is a key aspect of this role. You will guide and mentor a team of engineers through best practices in backend engineering, code quality, and system design. Implementing observability, performance tuning, and API reliability measures will also be part of your responsibilities. Staying up to date with advancements in GenAI, NLP, and emerging LLM capabilities is essential. To be successful in this role, you should have 7-10 years of backend development experience with a strong foundation in Node.js. Proven experience in building and deploying applications using LLMs and Generative AI (OpenAI, Claude, Llama, etc.) is required. A solid understanding of Prompt Engineering, prompt tuning, and context management for LLMs is crucial. Experience with chatbot frameworks such as Dialogflow, Rasa, Botpress, or custom solutions is necessary. Strong knowledge of RESTful APIs, WebSockets, and asynchronous programming is expected. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) is a plus. Proficiency in working with cloud platforms (AWS/GCP/Azure), a strong understanding of system design, architecture patterns, and scalability principles, as well as excellent problem-solving, communication, and leadership skills are important for this role.,

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, and speed optimization both during the experimentation phase and in the production environment. This is a foundational role that entails high ownership, where you will collaborate closely with the OpenAI, Anthropic, and AWS teams to construct top-tier ML infrastructure. Working in tandem with ML researchers, backend engineers, and product teams, you will ensure the resilience, security, and cost-effectiveness of Enterpret's AI systems as the company experiences exponential growth. Key success factors include enhancing the speed of experimentation, reducing time to productionization, and elevating the quality of models. Reporting directly to the CTO, you will be responsible for several critical tasks. You will design and enhance Enterpret's ML platform utilizing AWS, Terraform, OpenAI, and Anthropic for training, serving, and retraining encoders and LLM models. Additionally, you will develop CI/CD pipelines tailored for ML, deploy and manage model serving systems for real-time inference and batch pipelines, establish observability for model performance and data drift, lead incident response and postmortems for ML systems, optimize cloud usage for ML workflows, implement governance and security measures, work on productionizing AI models, evaluate tools for model registry, feature stores, and orchestration, champion MLOps best practices, and mentor engineers. The ideal candidate for this role should possess a minimum of 6 years" experience in MLOps and ML infrastructure, with expertise in AWS, infrastructure-as-code, container orchestration, strong Python skills, hands-on experience with CI/CD systems, proficiency in monitoring and maintaining production ML systems, cloud cost optimization knowledge, familiarity with model serving stacks and experimentation tools, and a track record of mentoring and taking ownership of systems in production. Additionally, a passion for automation, proficiency with AI coding agents, and exposure to GenAI workflows and responsible AI practices are desirable. Enterpret offers a compelling opportunity to work at the heart of ML, take early ownership of impactful projects, collaborate with a talented team, operate in a focused and fast-paced environment, and enjoy competitive compensation, meaningful equity, comprehensive healthcare benefits, generous leave policies, and a team-centric culture built on trust and ownership. At Enterpret, we prioritize a culture of ownership, teamwork, personal care, constructive feedback, humility, continuous learning, and improvement. We are committed to providing equal opportunities for all individuals.,

6+ years of software engineering experience, including 23 years building AI-powered product features . Proven ability to ship AI-driven features in a production SaaS environment. Strong skills in Python (AI workflows) and TypeScript/Node.js (backend integration). Familiarity with React for embedding AI into front-end experiences. Experience with vector databases and retrieval workflows. Solid understanding of systems design and SaaS architecture , especially for AI integrations. Strong focus on building production-ready code that is robust, maintainable, and scalable. Pragmatic, business-oriented mindset—you think in terms of user workflows and measurable client value.

Opportunity With HCLTech || Senior Manager Presales -Gen AI || PAN India Job Title: Senior Manager - Presales Location: Bangalore/ Noida / Pan India Experience: 7 to 13 yrs Department: Integrated GTM Team - Digital Business Services (DBS) and Engineering Services (ERS) About the Role We are looking for a dynamic Senior Manager Presales (GenAI Focus) to join our Business Acceleration Group. In this role, you will drive GenAI-led service transformation and value chain innovation across large-scale IT outsourcing and digital transformation pursuits. You will collaborate with sales, delivery, and practice teams to create differentiated AI-led solution narratives, accelerate RFP responses, and engage with clients on how AI and GenAI can deliver measurable business outcomes. Key Responsibilities AI-led Solutioning Develop compelling proposals that position AI for end-to-end service transformation (automation of IT/Business Ops, AI-driven modernization, GenAI copilots for delivery). Shape narratives for AI in value chain innovation , showcasing GenAI use cases across industries (retail, manufacturing, BFSI, life sciences, etc.). Collaborate with practice teams to integrate AI Force and HCLTech accelerators into client solutions. Presales Leadership Lead RFP responses, orals, and proactive proposals with a focus on GenAI-enabled value differentiation . Drive thought leadership and create reusable GenAI-led sales assets (pursuit decks, case studies, PoV documents). Mentor and upskill presales team members on articulating GenAI solutions. Client Engagement Engage with CXOs, procurement, and technology leaders to translate business pain points into AI-enabled transformation roadmaps . Present AI-led solution strategies in orals, workshops, and analyst interactions. Collaboration & Governance Partner with Delivery, Practices, and AI/Analytics units to align solution feasibility and win themes. Ensure responsible AI positioning in all pitches, highlighting governance, ethics, and compliance. Qualifications & Experience 7+ years of experience in presales, solutioning, or consulting in IT services. Strong understanding of IT outsourcing models, digital transformation, and AI-led automation . Exposure to GenAI platforms (OpenAI, Azure OpenAI, Google Gemini, Anthropic, etc.) and enterprise AI adoption patterns. Proven track record of leading large RFPs/proposals and building differentiated solution narratives. Ability to work across cross-functional teams and influence senior stakeholders. Education: Bachelors degree in computer science, Engineering, Business Administration, or a related field. A masters degree or relevant certifications (e.g., AWS, Azure, ITIL, PMP) would be an advantage Skills & Competencies Strong business acumen with ability to connect AI technology to business outcomes . Excellent storytelling and proposal writing skills, with the ability to make complex AI topics simple and client relevant. Familiarity with AI Force or equivalent enterprise AI frameworks is a plus. Executive presence, strong communication, and presentation skills. A passion for innovation and continuous learning in the GenAI ecosystem . Why Join Us This role offers the opportunity to: Be at the forefront of AI-driven presales and solutioning . Shape large, strategic pursuits that define how clients adopt GenAI for transformation . Work in a collaborative team that drives growth across HCLTechs Digital Business Services and Engineering Services portfolios . Show more Show less

About the Role We are seeking a Agentic AI Developer with 35 years of total software/AI experience and proven hands-on work in Agentic AI . The ideal candidate has built LLM-powered agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel, and can design, deploy, and optimize autonomous AI systems for real-world business use cases. Key Responsibilities Architect, build, and deploy LLM-driven agents that can plan, reason, and execute multi-step workflows. Work with agent orchestration frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.). Develop and maintain tools, APIs, and connectors for extending agent capabilities. Implement RAG pipelines with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.). Optimize prompts, workflows, and decision-making for accuracy, cost, and reliability . Collaborate with product and engineering teams to design use-casespecific agents (e.g., copilots, data analysts, support agents). Ensure monitoring, security, and ethical compliance of deployed agents. Stay ahead of emerging trends in multi-agent systems and autonomous AI research . Required Skills 35 years of professional experience in AI/ML, software engineering, or backend development . Demonstrated hands-on experience in building agentic AI solutions (not just chatbots). Proficiency in Python (TypeScript/JavaScript is a plus). Direct experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.). Strong knowledge of vector databases and embeddings . Experience integrating APIs, external tools, and enterprise data sources into agents. Solid understanding of prompt engineering and workflow optimization . Strong problem-solving, debugging, and system design skills. Nice to Have Experience with multi-agent systems (agents collaborating on tasks). Prior contributions to open-source agentic AI projects . Cloud deployment knowledge ( AWS/GCP/Azure ) and MLOps practices. Background in reinforcement learning or agent evaluation . Familiarity with AI safety, monitoring, and guardrails . What We Offer Work on cutting-edge AI agent projects with direct real-world impact. Collaborative environment with strong emphasis on innovation & experimentation . Competitive salary and growth opportunities. Opportunity to specialize in one of the fastest-growing areas of AI . Show more Show less

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always seeking creative ways to grow and learn, individuals who aspire to make a real impact, both now and in the future. If this resonates with you, then you would be a valuable addition to our dynamic international team. As a Graduate Trainee Engineer, you will have the opportunity to contribute significantly by: - Designing, developing, and optimizing NLP-driven AI solutions using cutting-edge models and techniques such as NER, embeddings, and summarization. - Building and operationalizing RAG pipelines and agentic workflows to facilitate intelligent, context-aware applications. - Fine-tuning, prompt-engineering, and deploying LLMs (such as OpenAI, Anthropic, Falcon, LLaMA, etc.) for specific domain use cases. - Collaborating with data scientists, backend developers, and cloud architects to construct scalable AI-first systems. - Evaluating and integrating third-party models/APIs and open-source libraries for generative use cases. - Continuously monitoring and enhancing model performance, latency, and accuracy in production environments. - Implementing observability, performance monitoring, and explainability features in deployed models. - Ensuring that solutions meet enterprise-level criteria for reliability, traceability, and maintainability. To excel in this role, you should possess: - A Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. - Exposure to AI/ML, with expertise in NLP and Generative AI. - A solid understanding of LLM architectures, fine-tuning methods (such as LoRA, PEFT), embeddings, and vector search. - Previous experience in designing and deploying RAG pipelines and collaborating with multi-step agent architectures. - Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc. - Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs). - Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry. - Hands-on experience in integrating LLM-based agents in production settings. - An understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues). - Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems. - Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. - Domain knowledge in Electrification, Energy, or Industrial AI would be advantageous. Join us in Bangalore and be part of a team that is shaping the future of entire cities, countries, and beyond. At Siemens, we are a diverse community of over 312,000 minds working together to build a better tomorrow. We value equality and encourage applications from individuals who reflect the diversity of the communities we serve. Our employment decisions are based on qualifications, merit, and business requirements. Bring your curiosity and creativity to Siemens and be a part of shaping tomorrow with us. Explore more about Siemens careers at www.siemens.com/careers and discover the digital world of Siemens at www.siemens.com/careers/digitalminds.,

You will be responsible for designing, developing, and scaling the AI Agent Framework that powers automation-first modules in RevAi Pro, such as Tell Me, Action Center, and intelligent AI agents. This role is critical to shaping the core foundation of how automation, enterprise search, and just-in-time execution work inside our platform. Architect and implement the core orchestration engine for AI agents (event-driven/task-based). Manage agent lifecycle functions such as spawn, pause, escalate, and terminate. Enable secure, real-time communication between agents, services, and workflows. Integrate memory and retrieval systems using vector databases like Pinecone, Weaviate, or Qdrant. Integrate LLM providers (OpenAI, Azure OpenAI, Anthropic, Mistral, etc.) into agent workflows. Create modular prompt templates with retry/fallback mechanisms. Implement chaining logic and dynamic tool use for agents using LangChain or LlamaIndex. Develop reusable agent types such as Summarizer, Validator, Notifier, Planner, etc. Develop FastAPI-based microservices for agent orchestration and skill execution. Create APIs to register agents, execute agent actions, and manage runtime memory. Implement RBAC, rate limiting, and security protocols for multi-tenant deployments. Build connectors to integrate structured (CRM, SQL) and unstructured data sources (email, docs, transcripts). Route incoming data streams to relevant agents based on workflow and business rules. Support ingestion from tools like Salesforce, HubSpot, Gong, and Zoom. Deploy the agent platform using Docker and Kubernetes on Azure. Implement Redis, Celery, or equivalent async task systems for agent task queues. Set up observability to monitor agent usage, task success/failure, latency, and hallucination rates. Create CI/CD pipelines for agent modules and prompt updates. Ideal Candidate Profile: - 2-4 years of experience in backend engineering, ML engineering, or agent orchestration. - Strong command over Python (FastAPI, asyncio, Celery, SQLAlchemy). - Experience with LangChain, LlamaIndex, Haystack, or other orchestration libraries. - Hands-on with OpenAI, Anthropic, or similar LLM APIs. - Comfortable with vector embeddings and semantic search systems. - Understanding of modern AI agent frameworks like AutoGen, CrewAI, Semantic Planner, or ReAct. - Familiarity with multi-tenant API security and SaaS architecture. - Bonus: Frontend collaboration experience to support UI for agents and dashboards. - Bonus: Familiarity with SaaS platforms in B2B domains like RevOps, CRM, or workflow automation. What You'll Gain: - Ownership of agent architecture inside a live enterprise-grade AI platform. - Opportunity to shape the future of AI-first business applications. - Collaboration with founders, product leaders, and early enterprise customers. - Competitive salary with potential ESOP. - First-mover engineering credit on one of the most advanced automation stacks in SaaS.,

Join a high-performing engineering team that is pioneering the future of low-code and AI-powered development. The team is passionate about building scalable, intelligent systems that simplify complex business processes. By blending deep domain knowledge in low-code platforms with emerging capabilities in Generative AI, innovative, human-centered solutions are delivered to build a world-class Pega infinity product. The Pega Platform engineering team drives the product strategy and delivery with an innovation mindset to provide a low-code platform for AI-powered decisioning and workflow automation. If you are excited about shaping how businesses leverage automation and AI, this is the place for you. Pegasystems is offering exciting opportunities to join the team as a Manager, Platform Engineering, Low-code Studios, and GenAI. As a Manager, you will work with a self-organizing team to develop and maintain best-of-breed software in the Pega ecosystem and at the intersection of technology and innovation. You will be part of a collaborative environment where your ideas are valued, your growth is prioritized, and your work directly contributes to real-world impact. Whether it's improving customer experiences, streamlining operations, or accelerating product development with GenAI, you will be solving meaningful problems that matter to clients and the company. As a Manager at Pega, you will: - Manage product engineering teams working on designing, developing, and deploying applications using leading low-code platforms and integrating Generative AI capabilities to enable smart automation, application generation, and enhanced user experiences. - Collaborate with designers, product managers, and other teams to deliver high-quality, performant solutions. - Participate in architecture discussions and help shape the technical direction of the platform. - Continuously evaluate new GenAI and low-code trends, bringing innovative ideas into development cycles. - Provide technical assistance to advance the capabilities of products and resolve complex issues. - Develop and maintain technical expertise in assigned areas of product functionality. To be successful in this role, you should: - Be a passionate leader with a deep interest in Pega and stay updated with the latest advancements in GenAI, including models, use cases, and industry trends. - Have a strong understanding of software engineering principles, with a focus on Pega infinity, GenAI, and machine learning concepts. - Bring good practices around design patterns and leverage them to support the Pega platform with the "as-a-Service" evolution, particularly in the context of GenAI. - Be passionate about helping teams grow by inspiring and mentoring engineers. - Have experience in integrating APIs, building reusable logic, and optimizing workflows for efficiency and scale. - Possess excellent verbal and written communication skills, with the ability to remain composed under pressure. - Bonus: Experience working with Pega platform (App Studio, Case Management, Decisioning) and knowledge of AI tooling (e.g., OpenAI, Anthropic, LangChain) and prompt engineering is a plus. Qualifications include: - 8-12 years of overall experience preferably in a product development company and holds a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum 4+ years" experience of managing product development teams. - Pega 8.x Certified CSA and CSSA preferably. - Strong problem-solving, debugging, and design skills. Participated in the design and development of Pega infinity features. - Ability to apply analytical and investigative skills to resolve customer issues. - Customer-oriented, enthusiastic, courteous, assertive, and motivated to take charge of both customer engagement and problem resolution. - Rich experience of managing engineering teams in a product development company. - Ability to understand, identify, and resolve conflicts as necessary. - Working experience in an Agile/Scrum team environment. Pega Offers You: - Gartner Analyst acclaimed technology leadership across our categories of products. - Continuous learning and development opportunities. - An innovative, inclusive, agile, flexible, and fun work environment.,

You should have 6-8 years of experience in the Creator Economy, AI Video Tools domain. You will be responsible for developing, testing, and deploying LLM-driven agents to automate content strategy, scriptwriting, and moderation. Additionally, you will implement Agentic workflows using frameworks like LangChain, LangGraph, or CrewAI. Your role will involve designing real-time script analyzers to flag and intercept deepfake/misuse risks, integrating voice cloning, avatar generation APIs, and safety intercept logic, and building structured conversation memory, action plans, and tool calling agents for video planning. Collaboration with the backend team to expose agent actions via API will also be part of your duties. To excel in this role, you should possess strong Python skills with experience in AI orchestration frameworks and be hands-on with OpenAI, Anthropic, LLama, or Mistral APIs. Experience with vector DBs such as FAISS or Weaviate for content memory is required. A deep understanding of prompt engineering, function calling, RAG, or agent autonomy is essential. You should also have awareness of deepfake, safety, or fairness risks in generative AI. It would be advantageous to have experience with HuggingFace, LangGraph, or Guardrails AI.,