AI Engineer - Advanced Systems Developer

Key Responsibilities:Enhance RAG Implementation: Optimize and implement advanced Agentic RAG and standard RAG pipelines, focusing on superior Prompt Context Engineering to deliver precise, relevant, and high-quality information to AI agents.Design and Build Agentic Systems: Develop and deploy autonomous multi-agent systems using frameworks such as Crew AI to address complex business challenges.Facilitate Agent-to-Agent A2A Communication: Implement and improve A2A protocols for collaborative task execution across multiple AI agents.Create MCP Connectors: Develop, test, and maintain connectors to enable seamless interaction between our AI agents and critical data sources, including:Microsoft SpreadsheetsDatabricks LakehousePostgres databasesDevelop Robust Backend APIs: Create scalable REST APIs that serve as the backbone for our AI bots and applications, ensuring reliable communication and integration.Manage Cloud Deployment: Oversee deployment management and monitoring of AI applications within the Open Telekom Cloud (OTC) environment.Utilize AI-Powered Development Tools: Incorporate modern AI coding assistants such as GitHub Copilot in your daily workflow to write, debug, and optimize code efficiently.

Konecranes seeks a System Development Engineer based in Pune. The position centers on designing and building systems that address client requirements while aiming to boost operational efficiency and reliability. Key responsibilities Collaborate with multidisciplinary teams to develop, test, and improve system designs Contribute throughout the product lifecycle, from early concepts through to delivery Support efforts to ensure systems meet reliability and performance standards About Konecranes Konecranes provides lifting and material handling solutions for businesses. The company emphasizes both innovation and reliability in its work.

At NICE Systems, we embrace challenges without limits. We are ambitious, innovative, and driven to succeed. If you share our passion, we present an exceptional career opportunity that can ignite your enthusiasm.Role OverviewThe AI Software Engineer is a pivotal customer-facing role that involves implementing and delivering AI-driven and Conversational AI solutions within the NICE CXone ecosystem. As a key technical contributor, you will engage in building integrations, configuring AI platforms, and ensuring the successful execution of project deliverables.Your ImpactTechnical Implementation and Configuration:Customize and deploy Conversational AI solutions based on business and technical specifications.Create and maintain integrations utilizing APIs, modern web technologies, and authentication protocols.Enhance bot functionalities using conversational design and best practices in prompt engineering.Develop proofs of concept (PoCs) and production-ready components.Support validation and go-live activities to ensure operational success across diverse customer environments.Technical Problem Solving & Quality:Identify and resolve complex technical challenges within SaaS applications, integrations, and data workflows.Modify existing integrations and components to adapt to changing customer requirements.Ensure that implementations adhere to quality, performance, security, and usability standards.Produce thorough documentation, including specifications, test cases, and deployment instructions.Collaboration with Implementation Teams:Work closely with Implementation Engineers, Consultants, and Project Managers in defining requirements and designing solutions.Engage in customer workshops to clarify technical details and validate project feasibility.Maintain effective communication across cross-functional teams.

About Our Team:Join our innovative AI team at Helpshift, where we are dedicated to developing cutting-edge AI capabilities. Our team focuses on:Creating AI Agents for seamless automated issue resolutionImplementing User Intent Detection for enhanced user experienceEnhancing AI-Powered Answers and Knowledge BaseDeveloping Agent CoPilot tools to boost agent productivityBuilding LLM-based systems, proprietary ML models, and multimodal RAG pipelinesOur diverse team consists of Backend Engineers, Full-stack Developers, ML Engineers, Data Scientists, and Frontend Developers, all working together to deliver scalable and intelligent AI solutions.Role Overview:We are seeking a seasoned engineer with substantial expertise in AI and exceptional leadership qualities. In this role, you will design and implement advanced AI products and AI Agents, lead a team of engineers, and oversee the execution of LLM-powered projects from inception to deployment.This position merges practical AI/ML and LLM engineering with technical leadership—guiding backend, frontend, and full-stack developers to create robust and scalable production AI systems.Key Responsibilities:Lead and mentor a team of developers, cultivating a collaborative and high-performing engineering culture.Define the technical vision, architecture, and strategy for LLM, AI Agent, and ML projects.Design and develop AI Agents, RAG pipelines (including multimodal RAG), LLM-based services, and evaluation frameworks.Oversee the design, development, and deployment of scalable AI/ML systems from conception through to production.Work closely with Product Managers, ML Engineers, and Data Scientists to translate business needs into AI-driven solutions.Manage the full software development lifecycle for your team, ensuring adherence to best engineering practices regarding coding, testing, quality, and reliability.Conduct in-depth technical reviews and offer guidance to uphold code quality standards.Address performance, scalability, and reliability challenges in production AI systems.Promote continuous improvement, automation, and innovation within the team.Keep the team informed of the latest advancements in LLMs, LLMOps, fine-tuning techniques, vector search, and generative AI.Qualifications:8–10 years of experience in software development.Over 5 years of practical experience in AI/ML.At least 2 years in an engineering leadership role, ideally leading a cross-functional team.Proven experience in developing:AI Agents / Agentic workflowsLLM pipelines (inference, orchestration, guardrails)RAG systems (vector search, knowledge bases, multimodal RAG)LLM fine-tuning (SFT, LoRA, instruction tuning)LLMOps workflows (monitoring, evaluation, optimization, versioning)Strong grasp of ML algorithms and principles.

Veeam Software seeks a Specialist Engineer for Advanced Technical Support, focused on public cloud products in Pune, India. This position centers on resolving complex technical issues for Veeam Backup solutions across AWS, Microsoft Azure, and Google Cloud environments. The role involves direct interaction with clients and internal teams to maintain high standards of customer satisfaction. Key responsibilities Troubleshoot and resolve advanced technical issues for Veeam customers via phone, email, and web conferencing. Manage escalated support cases from both Technical Support and less experienced ATS team members. Analyze problems involving Veeam products, third-party software, operating systems, networks, and applications, then recommend solutions or workarounds. Monitor support cases to ensure compliance with Service Level Agreements (SLA) and Operational Level Agreements (OLA). Update and manage assigned cases promptly, documenting all customer interactions in the CRM according to SLAs. Handle call transfers for new and ongoing support cases as needed. Maintain strong customer relationships through clear, timely communication. Collaborate with QA, R&D, Product Management, and other teams on cross-functional projects. Contribute to the technical Knowledge Base and participate in knowledge-sharing activities. Provide training and mentorship to junior engineers. Participate in department-wide pilot projects. Collaboration and impact This role works closely with colleagues across departments to build shared expertise and support continuous improvement. The Specialist Engineer also plays a part in mentoring junior staff and expanding the technical Knowledge Base.

About Us Mindtickle stands at the forefront of AI-driven revenue enablement, merging practical learning with deal execution to catalyze behavior change and maximize revenue per representative. Acknowledged by industry analysts as a market leader, we proudly hold the title of G2's #1 product for sales onboarding and training. Our relentless pursuit of innovation has culminated in accolades such as the "AI-based Sales Solution of the Year" at the AI Breakthrough Awards and a Gold Stevie Award for Sales and Customer Service, underscoring our commitment to product excellence and exceptional customer support.Join Our AI/ML Engineering TeamOur mission is to empower revenue teams by pinpointing skill gaps, offering actionable insights, and facilitating real-time improvements in workflow. The CoE-ML team is integral to this mission, embedding AI throughout Mindtickle's product suite via CoPilots, hyper-realistic AI role plays, automated content curation, and smart coaching. We leverage cutting-edge Generative AI and Large Language Model technologies, uphold stringent evaluation standards, and manage scalable production AI systems. As we transition to an AI-native product model, we expect our engineers not only to develop AI functionalities but also to adopt an AI-first mindset in all aspects of their work.

About the RoleJoin our innovative AI engineering team as a Backend AI Engineer, where you will play a crucial role in developing and enhancing backend systems that drive AI Agents within the gaming sector. These systems manage millions of customer support inquiries, ensuring efficient resolution at scale.In this position, you will focus on creating high-performance backend services, AI-integrated workflows, and retrieval-based systems designed for extensive customer support automation. You will collaborate closely with fellow AI Engineers, Machine Learning Engineers, and Product teams to design, construct, deploy, and maintain dependable backend architectures that incorporate AI components like Retrieval-Augmented Generation (RAG) pipelines and AI Agent orchestration.This is an exceptional opportunity to engage with production-level AI systems that function at an enormous scale, where aspects such as performance, reliability, and observability are paramount.Key Responsibilities:Design, develop, and sustain scalable backend services and APIs utilizing Python and frameworks such as FastAPI.Create and integrate backend workflows tailored for AI Agents and customer support automation applications.Develop secure, high-performance REST APIs for both internal and external users.Integrate AI components including RAG pipelines, embedding services, and inference APIs into backend systems.Utilize databases such as MongoDB, YugabyteDB, and PostgreSQL to support high-scale, low-latency operations.Containerize applications using Docker and manage service deployment on Kubernetes (K8s).Deploy and manage services on AWS and GCP cloud infrastructures.Implement and maintain CI/CD pipelines while actively participating in configuration management and release processes.Employ observability tools such as Grafana, Elasticsearch, and Kibana to monitor system health, troubleshoot issues, and enhance reliability.Write clean, testable, and maintainable code; engage in code reviews and design discussions.Diagnose and resolve production challenges concerning scalability, performance, and reliability.Qualifications:What You’ll Bring3–5 years of experience in backend software development.Proficient in Python and backend frameworks, particularly FastAPI.Experience in building backend APIs and integrating workflows.Strong knowledge of databases such as MongoDB, PostgreSQL, and YugabyteDB.Hands-on experience with Docker and familiarity with Kubernetes.Understanding of AWS and GCP cloud services.Solid grasp of CI/CD concepts, build pipelines, and release management processes.Familiarity with observability and logging frameworks like Grafana, Elasticsearch, and Kibana.Basic to intermediate understanding of AI systems, particularly Retrieval-Augmented Generation (RAG).Excellent problem-solving skills and the ability to collaborate effectively in a team environment.

Role Overview Weekday is hiring an AI/LLM Software Engineer for a client based in Pune, Maharashtra, India. This full-time role focuses on building and improving applications powered by advanced AI technologies. Key Responsibilities Design and develop backend systems that support enterprise applications Integrate Large Language Models (LLMs) into production environments Create and optimize high-performance APIs Work closely with colleagues from different teams to deliver data-driven solutions Requirements At least 1 year of relevant experience Compensation Salary Range: ₹700,000 - ₹800,000 per annum Employment Details Location: Pune, Maharashtra, India Type: Full-time

Join Bosch Group as a Senior AI Developer, where you will be at the forefront of innovation in artificial intelligence and machine learning. You will be responsible for designing and implementing cutting-edge AI solutions that drive significant value for our clients. Collaborate with a talented team of engineers and data scientists to push the boundaries of technology.

Design, develop, and implement innovative AI/ML solutions utilizing Python.Create and integrate advanced solutions with OpenAI APIs and LLM-driven workflows.Develop AI-powered applications and prototypes leveraging Streamlit.Utilize Snowflake for in-depth analytics, feature engineering, and inference tasks.Construct scalable, production-ready machine learning pipelines.Collaborate effectively with product, data engineering, and business teams to drive project success.Enhance model performance, reliability, and cost-effectiveness.Support the deployment, monitoring, and iterative improvement of AI/ML applications.Contribute to the architecture and best practices in AI development.

KEY RESPONSIBILITIES Demonstrate comprehensive knowledge of virtual servers, operating systems, and various storage solutions including block, file, and object storage, alongside data protection methodologies. Expertly install and configure high-availability computing solutions essential for mission-critical business functions. Align technical strategies with Ensono's overarching business objectives. Utilize multiple scripting languages to devise automation solutions and enhance reporting mechanisms. Collaborate within a team to architect effective computer system configurations. Design and document systematic procedures for applying patches and updates to operating systems and firmware within the systems infrastructure. Engage actively in primary design discussions for client disaster recovery initiatives. Exhibit proficiency in operating system installation processes. Implement effective storage and data protection configurations. Conduct research on system vulnerabilities and produce documentation for implementing corrective actions as necessary. Establish guidelines and procedures aimed at improving systems management processes and overall efficiency. Monitor and optimize system performance to proactively identify and rectify issues and potential bottlenecks. Generate periodic reports concerning system capacity and utilization. Design and implement sophisticated network configurations within the virtual server framework. QUALIFICATIONS Bachelor’s degree with 8+ years of relevant experience, or a Master’s degree with 6 years of experience; equivalent work experience will be considered. 5+ years of hands-on administration experience with Windows operating systems. 5+ years of hands-on experience in managing VMware environments. 5+ years of hands-on administration experience with RHEL or other Linux distributions. Ability to concurrently manage multiple projects, prioritizing resources and timelines effectively. Strong analytical and problem-solving capabilities. Exceptional written and verbal communication skills. Results-driven team player dedicated to fulfilling team commitments. Experience in system configuration automation using scripting languages such as Perl, Python, Bash, or DevOps tools like Chef or Puppet. Capability to mentor technical operations personnel in relevant technologies as necessary. A solid understanding of the competitive landscape from both business and technical perspectives is advantageous. AWS experience in designing, provisioning, monitoring, and managing cloud environments is a plus.

nice seeks a Senior Software Engineer specializing in Artificial Intelligence to join the team in Pune, India. The role involves building AI-driven software that enhances user experiences and aligns with business objectives. Key responsibilities Design and develop scalable systems that feature significant AI components Collaborate with colleagues to deliver reliable and efficient software Use software engineering skills to address practical AI challenges Location This position is based in Pune, India.

Join our dynamic team as a System Engineer specializing in Windows and VMware technologies. In this role, you will leverage your expertise in Windows operating systems (2012, 2016, 2019) and VMware to manage and optimize both physical and virtual server environments. Your responsibilities will include operations management, server builds and rebuilds, and a strong understanding of server storage and networking technologies.Key responsibilities include:Managing server operations and hardware including RAID, ILO, and firmware.Building and operating physical servers from major vendors like HP, IBM, DELL, and Lenovo.Overseeing virtual server operations with extensive experience in VMware, focusing on P2V, V2V, VMotion, and VMware vCenter administration.Conducting OS patch management utilizing WSUS and other tools.Developing scripts for OS image customization and automation tasks.Ensuring compliance with security standards and service provider protocols.The ideal candidate will possess excellent troubleshooting skills, particularly in OS patching, and demonstrate proficiency in PowerShell scripting. A solid understanding of virtualization technology, along with experience in monitoring and performance tuning of VMware environments, is essential.We value self-motivated individuals with strong communication skills, capable of working on multiple projects simultaneously while maintaining high-quality delivery standards. Familiarity with cloud technologies such as AWS or Azure is a plus.

At Beghou Consulting, we leverage over thirty years of expertise in empowering life sciences organizations to refine their commercialization strategies through insightful analytics and innovative technology solutions. We specialize in crafting bespoke go-to-market strategies, establishing robust data analytics frameworks, and harnessing artificial intelligence to enhance customer insights and engagement. Our mission is clear: to enable life sciences companies to excel in their performance and maximize their portfolios. With headquarters in Evanston, Illinois, and a network of 10 global offices, we are dedicated to delivering unparalleled service and results.We are committed to uniting analytical talent with cutting-edge technology to navigate healthcare complexities and improve patient outcomes.Role OverviewAs a Senior Consultant in Advanced Analytics, you will play a pivotal role in delivering high-level analytical support to our prestigious clients in the life sciences sector. In this capacity, you will also mentor and guide our consulting team, enhancing our service offerings and nurturing both internal and external relationships to drive business growth and exceed client expectations.

Join OpenGov as an Applied AI Engineer in our cutting-edge AI Surfaces team! In this role, you will be at the forefront of developing innovative AI solutions that enhance our product offerings. Your expertise in artificial intelligence and machine learning will enable you to tackle complex challenges and contribute to our mission of modernizing government through technology.

About AlphaSense: AlphaSense empowers the world’s leading companies to transform uncertainty into informed decision-making. Our market intelligence platform, powered by advanced AI technology, delivers vital insights derived from trusted public and private resources, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research content.In 2024, AlphaSense's acquisition of Tegus enhanced our mission to enable professionals to make better-informed decisions through AI-driven insights. Together, we will foster innovation and accelerate the expansion of our product offerings, giving users access to even richer insights from a multitude of content sources. Trusted by over 6,000 enterprise clients, including many from the S&P 500, AlphaSense was founded in 2011 and is headquartered in New York City, with a global workforce of more than 2,000 employees across offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us on this exciting journey!About the Role:We are in search of an innovative and hands-on Principal AI Engineer, a cornerstone of our strategy for the Content portfolio. In this pivotal role, you will infuse advanced AI expertise into our product offerings, researching, architecting, and pioneering solutions that intelligently process and extract insights from millions of unstructured documents and multimedia content daily.This is an exceptional opportunity for a 'founding engineer' who is keen to influence the future of AI within our organization. As the primary authority on AI/ML, you will pinpoint and deploy cutting-edge techniques for document classification, entity extraction, image search, and more. If you are an experienced engineer passionate about tackling large-scale data challenges and eager to establish a center of excellence, this position is tailored for you.What You’ll Do:Spearhead AI Innovation: As the leading technical expert on AI, research, assess, and prototype state-of-the-art solutions utilizing Large Language Models (LLMs), Computer Vision, and various machine learning techniques to address our most intricate data extraction challenges.Architect for Scale: Create and develop robust, scalable, and cost-efficient AI services and data processing pipelines that will support the processing of millions of documents.

Job Title: Enterprise System Analyst - Power Platform Engineer (Automation & Copilot Development) Experience Level: 3–6 Years Role Overview: We are in search of a talented Power Platform Engineer to spearhead the design, development, and implementation of cutting-edge automation solutions throughout our organization. The ideal candidate will possess extensive experience with Microsoft Power Platform and a proven track record of creating AI-driven Copilot agents to enhance business processes, boost operational efficiency, and facilitate digital transformation initiatives. Key Responsibilities: Design and execute business process automation utilizing: Power Automate (Cloud & Desktop) Power Apps (Canvas & Model-Driven Apps) Power BI (Reports & Dashboards) Power Virtual Agents / Copilot Studio Develop and implement AI-powered Copilot agents employing: Microsoft Copilot Studio Azure OpenAI integrations (if applicable) Custom connectors & APIs Streamline repetitive organizational tasks and workflows across various departments (HR, Finance, Operations, IT, etc.) Integrate Power Platform solutions with: Microsoft 365 (SharePoint, Teams, Outlook, OneDrive) Dynamics 365 Third-party systems via APIs Establish governance, security, and environment strategies for the Power Platform Create reusable components, flows, and automation frameworks Monitor and optimize the performance of automation solutions Generate technical documentation and conduct user training Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions Required Skills & Qualifications: Bachelor’s degree in Computer Science, IT, or a related field 3+ years of practical experience with Microsoft Power Platform Proven expertise in: Power Automate Power Apps Dataverse REST APIs & connectors Experience in building Copilot agents using Microsoft Copilot Studio Understanding of AI/LLM-based automation principles Familiarity with SharePoint Online & Microsoft Teams integration Strong analytical and problem-solving abilities Experience in managing environments and DLP policies

HackerOne is a global frontrunner in Continuous Threat Exposure Management (CTEM), harnessing advanced AI solutions and the expertise of a vast community of security researchers. Our platform is designed to continuously identify, validate, prioritize, and remediate vulnerabilities across code, cloud, and AI systems. By offering services such as bug bounty programs, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, we effectively reduce cyber risk for enterprises. Trust is at the core of our partnerships with industry leaders like Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, the UK Ministry of Defence, and the U.S. Department of Defense.At HackerOne, we recognize that offensive security is essential for modern organizations striving to build trust and resilience amid rapid AI-driven innovations and threats. Our unique combination of human ingenuity and an advanced AI-powered platform distinguishes us in the industry, enabling us to stay ahead of adversaries.Our ValuesWe are committed to cultivating a diverse and inclusive culture where our values of being Customer Obsessed guide our decisions, Default to Disclosure fosters transparency, and Win Together promotes empowerment and respect within our teams.

About Addepar Addepar is a global data and AI platform serving investment professionals. The company brings together portfolio, market, and client data to deliver actionable insights and streamline investment workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on close to $9 trillion in assets. The platform integrates with around 650 partners in software, data, and consulting, supporting a wide range of investment operations. Addepar has offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo. Role Overview The AI Platform team at Addepar is hiring a Senior Frontend Software Engineer in Pune, India. This group builds the next generation of Addepar’s AI platform, focusing on natural language processing and data intelligence to power intuitive insights and interactions across AI products. What You Will Do Design and refine interactive interfaces for AI Platform products. Work closely with product design, backend, and AI/ML engineers to create seamless, reliable AI experiences. Focus on details that shape real-time AI interactions, from frame rendering to user engagement. Help ensure the platform meets Addepar’s standards for performance and transparency. Requirements Legal authorization to work in India from the first day of employment. Visa sponsorship is not available for this role.

Role overview Syngenta Group is seeking an Engineering Lead to guide its AI SDK team in Pune. This position focuses on shaping the technical direction of AI software development kits, ensuring they meet both internal and external needs. What you will do Lead the design and delivery of AI SDKs, managing projects from concept through release Collaborate with cross-functional teams to ensure SDK features support overall product goals Mentor engineers, helping them develop technical skills and grow professionally Champion strong code quality and software development practices across the team Location This role is based in Pune.