software engineer   ai ml

ServiceNow

<div>Company Description 
Veza is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza's Access Graph platform maps an organization's entire identity ecosystem across users, groups, roles, policies, permissions, and resources providing deep visibility and control over human, non-human, and agentic identities across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management, global enterprises including Blackstone, Expedia, and Wynn Resorts trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance.
Founded in 2020 and headquartered in Redwood City, California, Veza is now part of the ServiceNow family, with the acquisition closing in March 2026. The combination brings together Veza's AI-native Access Graph with ServiceNow's AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents. For engineers joining Veza today, this means the scale and resources of an enterprise platform company, with the product velocity and mission-driven focus of a security innovator at a pivotal moment in the industry. 
Job Description 
 We are seeking a Senior Staff Software Engineer to serve as the technical visionary and architect for our multi-agent harness platform, and writing agents for our products.
This is a high-leverage, tier-one leadership opportunity operating at the absolute frontier of Agent research and large-scale backend systems engineering. In this role, you won't just implement agents&mdash;you will define the architectural patterns, scalability guardrails, and strategic direction for how intelligent, autonomous agents reason, decide, and secure the modern enterprise.
What You Will Do<ul><li>
Architect &amp; Vision: Define the technical roadmap and architecture for Access AI Platform, ensuring high availability, low latency, and deterministic reliability.</li><li>
System Design: Lead the design of advanced agent orchestration layers, multi-agent communication, and sophisticated context/memory management.</li><li>
Productionize at Scale: Transition cutting-edge LLM capabilities and MCP frameworks from experimental prototypes into hardened, enterprise-grade pipelines within our identity access infrastructure.</li><li>
Technical Leadership: Act as a force multiplier across the engineering organization. Define engineering excellence, establish robust test/evaluation frameworks for non-deterministic AI systems, and mentor senior and staff-level engineers.</li><li>
Cross-Functional Influence: Partner closely with Product, Security, and Executive leadership to align technical investments with long-term business strategy, pioneering new capabilities from ideation to global deployment.</li></ul> 

Qualifications 
What You Bring<ul><li>
Education: Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Engineering, or a related technical field.</li><li>
Experience: * 10+ years of professional software engineering experience, with a proven track record of technical leadership at a Staff or Senior Staff level.</li><li>
2+ years of hands-on experience in architectural design and production deployment of GenAI technologies, multi-agent systems, LLM orchestration frameworks (e.g., LangChain, AutoGen), or Model Context Protocols (MCP).</li><li>
Technical Mastery: * Expert-level proficiency in Python and Golang (or Java), with deep expertise in distributed systems, microservices architectures, and high-throughput API design.</li><li>
Deep understanding of Cloud Platforms (AWS, Azure, GCP) with experience designing or integrating with enterprise Identity and Access Management (IAM) environments and security fabrics.</li><li>
Execution &amp; Ownership: A strong sense of product ownership. You have a history of taking ambiguous, 0-to-1 AI initiatives and scaling them to 1-to-100 enterprise realities.</li><li>
Communication: Exceptional communication skills with a demonstrated ability to distill complex AI reasoning and architectural trade-offs into clear, strategic narratives for both engineering teams and executive boardrooms.</li></ul>
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 
Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2026 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Senior Staff Software Engineer - AI/ML - Veza

VERSA Integrated Solutions

Position: AI/ML EngineerLocation: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)Employment Type: Full-TimeSalary: Commensurate with ExperienceAbout VERSA Integrated SolutionsVERSA Integrated Solutions is a premier provider of Information Technology, Artificial Intelligence, Cybersecurity, Cloud, Data Analytics, and Engineering services supporting Federal Government agencies. We help agencies modernize operations through innovative technologies, secure architectures, and mission-driven solutions. Our teams work on high-impact initiatives that improve decision-making, operational efficiency, and citizen services.Position SummaryVERSA Integrated Solutions is seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting Federal Government customers. The successful candidate will work closely with data scientists, software engineers, cloud architects, cybersecurity professionals, and business stakeholders to build intelligent applications that leverage predictive analytics, machine learning, generative AI, and large language models (LLMs).The AI/ML Engineer will support the full lifecycle of AI solutions&mdash;from data preparation and model development to deployment, monitoring, optimization, and governance&mdash;while ensuring compliance with federal security, privacy, and Responsible AI requirements.Position ObjectivesThe AI/ML Engineer will:<ul><li>Design and implement scalable AI and ML solutions.&bull; Build and optimize machine learning models for structured and unstructured data.&bull; Develop data pipelines to support AI workloads.&bull; Integrate AI capabilities into enterprise applications.&bull; Ensure AI solutions comply with federal security, privacy, and governance requirements.&bull; Collaborate with cross-functional teams to deliver mission-focused outcomes.</li></ul>Major Duties &amp; ResponsibilitiesAI &amp; Machine Learning Development<ul><li>Design, develop, train, test, and deploy machine learning models.&bull; Build supervised, unsupervised, reinforcement learning, and deep learning solutions.&bull; Develop predictive analytics and classification models.&bull; Optimize model performance and accuracy through feature engineering and hyperparameter tuning.&bull; Build reusable AI components and services.</li></ul>Generative AI &amp; Large Language Models<ul><li>Develop solutions using Large Language Models (LLMs).&bull; Implement Retrieval-Augmented Generation (RAG) architectures.&bull; Engineer prompts and fine-tune models where appropriate.&bull; Evaluate AI model outputs for accuracy, explainability, and bias.&bull; Support secure deployment of generative AI capabilities.</li></ul>Data Engineering &amp; Preparation<ul><li>Build and maintain data ingestion and transformation pipelines.&bull; Clean, normalize, and prepare structured and unstructured datasets.&bull; Collaborate with Data Engineers to optimize data availability and quality.&bull; Implement feature stores and model-ready datasets.</li></ul>MLOps &amp; Model Lifecycle Management<ul><li>Automate model training, testing, deployment, and monitoring.&bull; Develop CI/CD pipelines for machine learning solutions.&bull; Monitor model drift, performance degradation, and retraining needs.&bull; Maintain version control for models, datasets, and code.</li></ul>Responsible AI &amp; Governance<ul><li>Implement Responsible AI principles including fairness, transparency, explainability, and accountability.&bull; Ensure compliance with NIST AI Risk Management Framework, Executive Orders, and agency-specific AI policies.&bull; Document AI models, assumptions, limitations, and validation results.</li></ul>Collaboration &amp; Innovation<ul><li>Partner with software developers, cloud engineers, and business analysts to integrate AI into enterprise solutions.&bull; Present technical findings and recommendations to stakeholders.&bull; Evaluate emerging AI technologies and recommend improvements.</li></ul>Required Technical Skills<ul><li>Python&bull; SQL&bull; TensorFlow&bull; PyTorch&bull; Scikit-learn&bull; Pandas&bull; NumPy&bull; Hugging Face Transformers&bull; LangChain or similar orchestration frameworks&bull; Azure AI Services or Azure Machine Learning&bull; AWS SageMaker (preferred)&bull; Git/GitHub&bull; Docker&bull; Kubernetes&bull; RESTful APIs</li></ul>Preferred Skills<ul><li>Experience with Retrieval-Augmented Generation (RAG)&bull; Prompt engineering for LLMs&bull; Vector databases (e.g., Pinecone, Azure AI Search)&bull; Knowledge graph integration&bull; Natural Language Processing (NLP)&bull; Computer Vision&bull; Time-series forecasting&bull; Knowledge of FedRAMP and Zero Trust environments</li></ul>Required Qualifications<ul><li>Strong analytical and problem-solving skills.&bull; Excellent written and verbal communication skills.&bull; Ability to translate business requirements into AI-driven technical solutions.&bull; Experience working in Agile/DevSecOps environments.&bull; Experience supporting federal government customers is highly desirable.</li></ul>EducationBachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field. A Master's degree is preferred. Equivalent experience may be substituted for education.Experience LevelsJunior (0&ndash;4 Years)<ul><li>Experience with Python and machine learning fundamentals.&bull; Exposure to cloud platforms and data science tools.&bull; Participation in AI/ML projects through coursework, internships, or professional experience.</li></ul>Intermediate (5&ndash;9 Years)<ul><li>Development and deployment of production AI/ML models.&bull; Experience with MLOps pipelines and cloud AI services.&bull; Collaboration with cross-functional software development teams.</li></ul>Senior (10&ndash;14 Years)<ul><li>Leadership in designing enterprise AI solutions.&bull; Expertise in generative AI, LLMs, and Responsible AI practices.&bull; Experience mentoring junior engineers and leading technical initiatives.</li></ul>Subject Matter Expert (15+ Years)<ul><li>Recognized authority in enterprise AI strategy and implementation.&bull; Experience shaping AI governance and modernization initiatives for large organizations.&bull; Trusted advisor to executive leadership on AI adoption and emerging technologies.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure AI Engineer Associate&bull; Microsoft Certified: Azure Data Scientist Associate&bull; AWS Certified Machine Learning &ndash; Specialty&bull; Google Professional Machine Learning Engineer&bull; TensorFlow Developer Certificate&bull; Databricks Certified Machine Learning Professional&bull; ITIL&reg; 4 Foundation (preferred)</li></ul>Desired Federal ExperienceExperience supporting one or more of the following agencies is highly desirable:<ul><li>U.S. Census Bureau&bull; National Institutes of Health (NIH)&bull; Centers for Medicare &amp; Medicaid Services (CMS)&bull; Department of Commerce&bull; Department of Homeland Security (DHS)&bull; Department of Defense (DoD)&bull; Department of Labor (DOL)</li></ul>Security Clearance<ul><li>Ability to obtain and maintain a Public Trust or higherclearance, depending on customer requirements.</li></ul>Work Environment<ul><li>Hybrid or onsite within the Washington, DC Metro Area based on customer requirements.&bull; Collaborative, fast-paced environment supporting mission-critical federal AI initiatives.&bull; Occasional travel to customer sites may be required.</li></ul>Why Join VERSA?At VERSA, you'll work alongside experts delivering innovative AI solutions that help federal agencies solve complex mission challenges. We invest in continuous learning, professional certifications, and opportunities to work with cutting-edge technologies, including machine learning, generative AI, cloud platforms, and advanced analytics.Equal Employment OpportunityVERSA Integrated Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.Pay: $118,467.98 - $142,671.13 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul>Work Location: Hybrid remote in Washington, DC 20591

Software Engineer - Data, AI/ML & Analytics

App Innovation Technologies

Job Description &ndash; ML/AI EngineerPosition: ML/AI Engineer Location: Coimbatore Experience: 0&ndash;1 Year Salary: ₹15,000 &ndash; ₹25,000 per month Job Type: Full-TimeAbout the RoleWe are looking for a passionate and enthusiastic ML/AI Engineer to join our growing team. This is an excellent opportunity for fresh graduates and candidates with up to one year of experience who are eager to build innovative AI-powered applications and work on real-time Machine Learning projects.Roles &amp; Responsibilities<ul><li>Develop, train, and deploy Machine Learning and AI models.</li><li>Collect, clean, and preprocess datasets for model training.</li><li>Build predictive models using Machine Learning algorithms.</li><li>Work with Python and popular ML libraries such as Scikit-learn, TensorFlow, or PyTorch.</li><li>Collaborate with software developers to integrate AI models into applications.</li><li>Evaluate and improve model accuracy, performance, and scalability.</li><li>Perform data analysis and visualization to derive meaningful insights.</li><li>Research and implement the latest AI/ML techniques and technologies.</li><li>Document model development, testing, and deployment processes.</li></ul>Required Skills<ul><li>Strong knowledge of Python programming.</li><li>Basic understanding of Machine Learning and Artificial Intelligence concepts.</li><li>Familiarity with data preprocessing and feature engineering.</li><li>Knowledge of NumPy, Pandas, Matplotlib, and Scikit-learn.</li><li>Exposure to TensorFlow, Keras, or PyTorch is an added advantage.</li><li>Understanding of SQL and database concepts.</li><li>Basic knowledge of statistics and data analysis.</li><li>Good problem-solving and analytical thinking skills.</li><li>Strong communication and teamwork abilities.</li></ul>Eligibility<ul><li>Any Bachelor's Degree.</li><li>Freshers or candidates with 0&ndash;1 year of relevant experience are welcome to apply.</li><li>Candidates with knowledge of AI, Machine Learning, Python, or Data Science concepts will be preferred.</li></ul>Preferred Skills<ul><li>Knowledge of Generative AI or Large Language Models (LLMs).</li><li>Knowledge of NLP or Computer Vision projects.</li><li>Familiarity with Git/GitHub and REST APIs.</li><li>Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.</li></ul>Pay: ₹15,000.00 - ₹25,000.00 per monthWork Location: In person

AI Engineer

Envision Employment Solutions

<div>Envision Employment Solutions is currently looking for a Senior Data Scientist - AI &amp; ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!
About:
The Senior Data Scientist - AI &amp; ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.
Responsibilities:
AI &amp; Machine Learning Development<ul><li>
Design, develop, and deploy AI and machine learning solutions that address business needs.
</li><li>Build and implement Agentic AI applications using modern AI frameworks.
</li><li>Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
</li><li>Optimize models to improve accuracy, scalability, and performance in production environments.
</li><li>Implement model monitoring, drift detection, and retraining strategies.
</li></ul>Data Engineering &amp; MLOps<ul><li>
Design scalable data pipelines to support machine learning workloads.
</li><li>Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
</li><li>Develop and maintain ML-focused CI/CD pipelines.
</li><li>Implement model versioning, automated testing, and deployment best practices.
</li><li>Support containerized and cloud-native ML deployments.
</li></ul>Cloud &amp; Solution Architecture<ul><li>
Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
</li><li>Architect scalable infrastructure to support enterprise AI applications.
</li><li>Recommend technology solutions aligned with business and technical requirements.
</li><li>Ensure AI solutions meet security, reliability, and performance standards.
</li></ul>Collaboration &amp; Leadership<ul><li>
Partner with business stakeholders to understand objectives and translate them into technical solutions.
</li><li>Collaborate with cross-functional teams throughout the solution lifecycle.
</li><li>Mentor junior data scientists and ML engineers.
</li><li>Promote best practices in machine learning, software engineering, and MLOps.
</li><li>Stay informed about emerging AI technologies and industry trends.</li></ul> 

Requirements 
<ul><li>
6-10 years of experience working with complex datasets and solving real-world business problems using AI</li><li>
Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.</li><li>
Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).</li><li>
Strong command of Git and collaborative development workflows.</li><li>
Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li><li>
Strong problem-solving abilities and attention to detail.</li><li>
Strategic thinking with the ability to align data science initiatives with business objectives.</li><li>
Strong leadership and team management skills with the ability to inspire and motivate.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a strong growth mindset.</li></ul></div>

Senior Data Scientist - AI & ML Engineer

Brightskies

<div>The Role
We are seeking a Technical Project Manager &ndash; HPC/AI to supervise, coordinate, and manage a portfolio of medium- to large-scale technology projects focused on AI/ML platforms, high-performance computing, data management, and software/platform delivery.
The successful candidate will be responsible for managing multiple concurrent workstreams, coordinating internal engineering teams, interfacing with executive stakeholders and subject matter experts, and ensuring disciplined delivery across scope, schedule, quality, risk, and stakeholder expectations.
This role is ideal for a structured, proactive, and technically conversant project manager who can operate in a fast-paced enterprise environment and coordinate delivery across multidisciplinary engineering teams.<ul><li>Manage and coordinate multiple concurrent technical project workstreams across AI/ML platforms, HPC-related systems, software delivery, and data management initiatives.</li><li>Oversee project execution across approximately 5&ndash;6 active workstreams, coordinating with a delivery organization of 30+ engineers.</li><li>Serve as the primary coordination point between internal engineering teams, executives, subject matter experts, and technical stakeholders.</li><li>Develop and maintain project plans, delivery schedules, milestones, dependencies, RAID logs, risk registers, and status reports.</li><li>Track scope, timelines, deliverables, issues, risks, resource allocation, and change requests across all assigned workstreams.</li><li>Facilitate Agile/Scrum ceremonies where applicable, including sprint planning, stand-ups, reviews, retrospectives, backlog refinement, and delivery tracking.</li><li>Ensure clear communication of project status, blockers, risks, decisions, and escalation items to senior stakeholders.</li><li>Coordinate requirements gathering, technical discussions, acceptance criteria, testing, documentation, deployment planning, and handover activities.</li><li>Support project governance through regular reporting, steering committee preparation, stakeholder updates, and executive-level summaries.</li><li>Work closely with engineering leads to ensure deliverables are completed on time, aligned with requirements, and meet quality expectations.</li><li>Drive accountability across teams while maintaining a collaborative and professional delivery environment.</li><li>Support continuous improvement of delivery processes, project documentation, reporting standards, and team coordination practices.</li></ul>
Requirements
Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Data Science, Project Management, or a related field.</li><li>2&ndash;3+ years of experience in technical project management, project coordination, delivery management, or a similar role.</li><li>Experience coordinating software, platform, data, infrastructure, AI/ML, or enterprise technology projects.</li><li>Strong understanding of software delivery lifecycles and project management practices.</li><li>Familiarity with Agile/Scrum delivery methods.</li><li>Ability to manage multiple priorities, workstreams, stakeholders, and deadlines simultaneously.</li><li>Strong documentation, planning, reporting, and organizational skills.</li><li>Ability to communicate effectively with both technical and non-technical stakeholders.</li><li>Professional fluency in English, both written and spoken.</li><li>Must be based in, or willing to relocate to, the Eastern Province of Saudi Arabia, specifically Khobar, Dhahran, or Dammam.</li></ul>
Preferred Qualifications<ul><li>Prior exposure to AI/ML platforms, HPC environments, data platforms, or large-scale technical delivery programs.</li><li>Experience working with engineering teams on complex software or platform delivery initiatives.</li><li>Understanding of data management concepts, workflows, and enterprise data platforms.</li><li>Prior experience coordinating multidisciplinary teams across software engineering, data engineering, infrastructure, DevOps, or AI/ML.</li><li>Experience preparing executive-level reports, dashboards, steering committee materials, and project governance documentation.</li><li>PMP, PRINCE2, Scrum Master, Agile, ITIL, cloud, data, or technical certifications are a plus.</li><li>Saudi nationals are preferred.</li></ul>
Required Skills<ul><li>Technical project coordination</li><li>Agile/Scrum delivery</li><li>Software/platform delivery</li><li>Data management</li><li>Stakeholder management</li><li>Executive reporting</li><li>Risk and issue management</li><li>Resource coordination</li><li>Delivery planning</li><li>Cross-functional team leadership</li><li>Documentation and governance</li><li>Strong written and verbal communication</li></ul>
Candidate Profile
The ideal candidate is a disciplined and highly organized project manager who can operate at the intersection of technology, delivery, and stakeholder management. They should be comfortable coordinating technical teams, translating complex updates into clear executive communication, and maintaining control over several active workstreams at once.
This person does not need to be a hands-on engineer, but should have enough technical understanding to coordinate discussions, identify delivery risks, follow technical dependencies, and communicate effectively with engineers, SMEs, and leadership.
Why Join Us
This is an opportunity to work on high-impact technology initiatives involving advanced computing, AI/ML platforms, enterprise data management, and large-scale software delivery. The role offers significant stakeholder visibility, exposure to complex technical programs, and the opportunity to help deliver mission-critical digital transformation projects in a structured enterprise environment.
About the company
Brightskies is a leading technology company that specializes in offering innovative automotive services, HPC services, and enterprise solutions. We cover a diverse geographical footprint ranging from the US and Europe to the Middle East and Africa. We capitalize on the US-based experiences of the founders along with talented engineering workforce to provide our customers with cutting edge technology and the highest quality service.
At Brightskies, we're committed to innovating towards tomorrow's reality. With over a decade of experience working closely with more than 50 clients in over 10 different industries, we've completed more than 100 innovative projects to help businesses succeed and stand out.</div>

Technical Project Manager (Saudi National)

LexRam.AI

Job Description: Full Stack Python Software EngineerWe are seeking a Python Software Engineer to design and build AI-driven software systems for a fast-growing startup. This role focuses on data extraction, ETL pipelines, AI-centric data processing, and graph-based database management (Neo4j), with strong exposure to emerging paradigms in applied and agentic AI.You will work across the full software development lifecycle&mdash;transforming raw data into intelligent systems&mdash;while collaborating closely with AI researchers, product leaders, and engineers to ship scalable, production-ready solutions.What You&rsquo;ll Do<ul><li>Design, develop, and maintain Python-based AI software for data processing, reasoning, and rendering.</li><li>Build and optimize data extraction and ETL pipelines from structured and unstructured sources.</li><li>Architect and manage Neo4j graph databases, including schema design, query optimization, and relationship modeling.</li><li>Develop backend services and APIs to support AI workflows, inference pipelines, and agentic systems.</li><li>Implement scalable, secure, and high-performance systems suitable for startup growth.</li><li>Collaborate on applied AI use cases, including LLM-powered features, intelligent agents, and automated reasoning systems.</li><li>Rapidly adapt to emerging tools, frameworks, and research in AI and agent-based development.</li><li>Participate in design reviews, testing, deployment, and ongoing system maintenance.</li></ul>What We&rsquo;re Looking For<ul><li>Strong proficiency in Python for production-grade software development.</li><li>Hands-on experience with data engineering: ETL, pipelines, data validation, and transformation.</li><li>Experience working with Neo4j or other graph databases (Cypher knowledge is a plus).</li><li>Solid understanding of backend architecture, APIs, and system scalability.</li><li>Familiarity with AI/ML pipelines, LLM integrations, or applied AI systems.</li><li>Strong problem-solving skills and comfort working in fast-moving startup environments.</li><li>Curiosity and adaptability to evolving AI paradigms, especially agentic AI systems.</li></ul>Nice to Have<ul><li>Experience with LLMs, vector databases, or retrieval-augmented generation (RAG).</li><li>Exposure to agent frameworks, orchestration tools, or autonomous workflows.</li><li>Knowledge of cloud platforms, containerization, or CI/CD pipelines.</li><li>Front-end or visualization experience for data or AI-driven rendering.</li></ul>Why Join Us<ul><li>Build real-world AI systems, not demos.</li><li>High ownership and technical influence from day one.</li><li>Work at the cutting edge of applied and agentic AI.</li><li>Learn fast, ship faster, and grow with the company.</li></ul>Job Type: Full-timePay: ₹10,000.00 - ₹10,001.00 per monthWork Location: In person

Full Stack Python Software Engineer

UIDM

We're Hiring: AI/ML Engineer (6&ndash;8 Years Experience)Are you passionate about building intelligent AI solutions and next-generation AI agents? We're looking for an experienced AI/ML Engineer to join our growing team and work on cutting-edge AI projects.Key Skills Required:✅ Strong proficiency in Python ✅ Hands-on experience in creating AI Agents ✅ Experience in developing, training, and deploying AI/ML models ✅ Strong SQL skills for data analysis and database management ✅ Knowledge of LLMs, Generative AI, and AI frameworks is a plus ✅ Excellent problem-solving and analytical abilitiesExperience:6&ndash;8 YearsWhat You'll Do:Design and develop AI-powered applications and intelligent agents.Build, train, and optimize machine learning models.Work with large datasets using SQL and Python.Collaborate with cross-functional teams to deliver scalable AI solutions.Stay up to date with the latest advancements in AI and machine learning.Work Location: Remote

AI/ML Engineer

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