agentic ai engineer

OREDATA

<div>
 <p>
  OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
 </p>
 <p>
  Read more: https://medium.com/@oredata-engineering
 </p>
 <p>
  Apply and be part of our exciting journey!
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and Develop Agentic AI Systems: Architect, develop and deploy intelligent agent systems that exhibit autonomous decision-making and action-taking capabilities, leveraging large language models (LLMs) and other advanced AI techniques
  </li>
  <li>
   Data Analysis &amp; Predictive Modeling: Analyze and interpret large, complex datasets using advanced statistical techniques and machine learning algorithms. Develop and implement predictive models, including recommendation engines, to identify patterns, trends, and actionable insights
  </li>
  <li>
   Feature Engineering &amp; Data Orchestration: Lead the collection, cleaning, organization, and transformation of large, complex datasets from multiple sources into high-quality features for training and evaluating AI models
  </li>
  <li>
   System Integration &amp; Scalability: Build and maintain scalable software infrastructure and data pipelines required for AI/ML and agentic AI deployments. Ensure the seamless integration of AI agents with existing systems and workflows
  </li>
  <li>
   Cross-functional Collaboration &amp; Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and business stakeholders, to understand business needs, translate them into AI solutions, and present complex findings and data-driven results in a clear and concise manner to diverse audiences
  </li>
  <li>
   Innovation &amp; Research: Drive innovation in agentic AI methodologies, tools, and applications within the organization. Conduct research and experimentation with new generative AI and agentic techniques, staying abreast of the latest advancements in the field
  </li>
  <li>
   Performance Optimization &amp; Monitoring: Optimize agent workflows for reliability, safety and performance. Implement robust monitoring and evaluation frameworks for deployed AI agent systems
  </li>
 </ul>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a relevant field
  </li>
  <li>
   Proven experience
   <strong>
    5 to 10 years
   </strong>
   in software development, with a strong focus on AI/ML engineering
  </li>
  <li>
   Demonstrated experience&nbsp; in building and deploying AI agent systems or similar autonomous systems
  </li>
  <li>
   Solid understanding of machine learning algorithms, statistical modeling and data analysis techniques
  </li>
  <li>
   Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  </li>
  <li>
   Experience with prompt engineering and fine-tuning Large Language Models (LLMs)
  </li>
  <li>
   Strong problem-solving and analytical skills with an ability to translate complex data into actionable business strategies
  </li>
  <li>
   Excellent communication, presentation, and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
  </li>
 </ul>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience with cloud computing platforms, particularly Google Cloud Platform (GCP)
  </li>
  <li>
   Familiarity with specific Agentic AI frameworks such as Google Cloud ADK (Agent Development Kit), CrewAI, LangChain etc
  </li>
  <li>
   Experience with MLOps principles and tools for model deployment and monitoring
  </li>
  <li>
   Knowledge of techniques for grounding generative models with external knowledge sources (e.g., Retrieval-Augmented Generation - RAG, Knowledge Graphs)
  </li>
  <li>
   Experience with multi-agent systems and orchestration
  </li>
 </ul>
 <p>
  <strong>
   Get to know us
  </strong>
 </p>
 <p>
  If you want to know more about us and what we do, then visit our website: www.oredata.com
 </p>
 <p>
  <strong>
   Why Oredata?
  </strong>
 </p>
 <ul>
  <li>
   Remote working and flexible time off
  </li>
  <li>
   Open communication, flexibility and start-up spirit
  </li>
  <li>
   Learning &amp; Development opportunities for both personal and professional growth
  </li>
  <li>
   Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
  </li>
  <li>
   Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
  </li>
  <li>
   Dynamic work ecosystem where you can take initiative and responsibility
  </li>
  <li>
   Opportunity to work on international projects
  </li>
  <li>
   Private Health Insurance
  </li>
  <li>
   Birthday Leave Policy
  </li>
  <br/>
 </ul>
 <p>
  <strong>
   Ki&scedil;isel verileriniz i&scedil;e al&inodot;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&inodot;yla veri sorumlusu s&inodot;fat&inodot;yla &scedil;irketimiz Oredata Yaz&inodot;l&inodot;m A.&Scedil;. taraf&inodot;ndan i&scedil;lenecektir.
  </strong>
  Ki&scedil;isel verilerinizin i&scedil;lenmesi ve haklar&inodot;n&inodot;zla ilgili detayl&inodot; bilgiye https://oredata.com/personal-data-protection-policy/ ba&gbreve;lant&inodot;s&inodot; &uuml;zerinden ula&scedil;abilirsiniz.
  <br/>
  <br/>
 </p>
</div>


Agentic AI Engineer

Trimble

<div><div>Business Title: Lead Agentic AI Engineer</div><div>
Job Location(s): Chennai, India (In-Office)<br>
The Team: AECO Segment, Agentic AI Platform Team</div><ul><li><div><br>
At Trimble, we are enabling our customers by leveraging cutting-edge artificial intelligence. We believe that intelligent agents will fundamentally transform how businesses operate. We are building a foundational Agentic AI Platform to power these next-generation applications, and we're looking for passionate, experienced engineers to lead the way.</div><div></div><div>
What you will do<br>
As a Full-Stack Software Engineer on the Agentic AI Platform team, you will be instrumental in building both the backend systems and the frontend interfaces that power our sophisticated AI agents. You will tackle challenging technical problems across the stack, implementing robust backend services, APIs, and scalable infrastructure, as well as developing intuitive user interfaces for internal tools, testing environments, or agent interaction components. You will contribute to the architectural direction, collaborating closely with backend specialists, frontend developers, designers, and AI researchers. This role requires strong software engineering fundamentals across both backend and frontend development, practical experience building scalable systems, and a keen interest or experience in modern AI technologies, especially Large Language Models (LLMs).</div><div></div><div>
1. Full-Stack Development &amp; Implementation:</div><ul><li><div>
Design, implement, test, and deploy robust backend components for the agentic AI platform (APIs, services, orchestration, data persistence) using languages like Python, Typescript, Java, etc. (Python highly relevant).</div></li><li><div>
Design, implement, test, and deploy user-facing features and internal tools using modern frontend technologies, including JavaScript, TypeScript, React, HTML, and CSS.</div></li><li><div>
Develop core libraries, SDKs, and components across the stack to enable efficient development and deployment of AI agents and associated tooling.</div></li><li><div>
Write high-quality, maintainable, and well-tested code for both backend and frontend systems.</div></li><li><div>
Implement and improve monitoring, logging, and alerting across the full stack.</div></li><li><div>
Participate actively in code reviews for both frontend and backend code.</div></li></ul><div></div><div>
2. Technical Design &amp; Contribution:</div><ul><li><div>
Contribute significantly to technical design and architecture discussions, considering both backend and frontend implications for new features and system improvements.</div></li><li><div>
Collaborate with principal engineers, product managers, UX/UI designers, and researchers to refine requirements and translate them into effective full-stack technical solutions.</div></li><li><div>
Evaluate and prototype new technologies, algorithms, and frameworks relevant to agentic AI, platform infrastructure, and frontend development.</div></li><li><div>
Take ownership of the technical implementation for specific features or components spanning the full stack.</div></li></ul><div></div><div>
3. Collaboration &amp; Knowledge Sharing:</div><ul><li><div>
Work closely with teammates and cross-functional partners (Product, Design, Research, other Engineering teams) to deliver cohesive user experiences and robust backend capabilities.</div></li><li><div>
Share knowledge, document designs and processes effectively for both backend and frontend aspects.</div></li><li><div>
May mentor junior engineers on full-stack development practices.</div></li></ul><div></div><div>
4. Operational Excellence:</div><ul><li><div>
Troubleshoot and debug complex issues in production environments, potentially spanning frontend, backend, and infrastructure layers.</div></li><li><div>
Participate in addressing issues across the stack.</div></li><li><div>
Contribute to improving the scalability, performance, security, usability, and cost-effectiveness of the platform and its interfaces.</div></li></ul><div></div><div>
What You Should Bring</div><ul><li><div>
Bachelor's degree in Computer Science, Engineering, or a related field.</div></li><li><div>
5+ years of professional full-stack software development experience.</div></li><li><div>
Strong proficiency in one or more backend programming languages such as Python, Javascript/Typescript or Java (Python highly relevant for the AI domain).</div></li><li><div>
Strong proficiency in frontend technologies including JavaScript, TypeScript, HTML, CSS, and modern frontend frameworks (specifically React).</div></li><li><div>
Experience building developer tools or interfaces for complex technical products (e.g., AI/ML tooling, data platforms).</div></li><li><div>
Hands-on experience with agentic AI concepts/frameworks (e.g., LangChain, LlamaIndex), vector databases (e.g., Pinecone, Weaviate), or RAG techniques.</div></li><li><div>
Experience in computer science fundamentals (data structures, algorithms, operating systems, networking).</div></li><li><div>
Experience building, deploying, and operating backend services and APIs in a cloud environment (AWS, GCP, or Azure).</div></li><li><div>
Experience building and deploying responsive and performant user interfaces.</div></li><li><div>
Experience with system design and architecture, with the ability to contribute to complex design discussions covering the full stack.</div></li><li><div>
Interest in or practical experience with AI/ML concepts, particularly working with or integrating Large Language Models (LLMs).</div></li><li><div>
Experience with software development best practices (testing frameworks for backend and frontend, CI/CD, monitoring, code reviews).</div></li><li><div>
Strong problem-solving skills and attention to detail.</div></li><li><div>
Good communication and collaboration skills, including working with designers.</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Experience building platform or infrastructure-as-a-service components.</div></li><li><div>
Experience with state management libraries (e.g., Redux, Zustand) and frontend build tools (e.g., Webpack, Vite).</div></li><li>
Experience with MLOps practices and tools.</li><li><div>
Experience with containerization (Docker) and orchestration (Kubernetes).</div></li><li><div>
Experience with infrastructure-as-code (e.g., Terraform).</div></li><li><div>
Experience optimizing the performance and scalability of both backend distributed systems and frontend applications.</div></li></ul><div></div><div>
About the Agentic AI Platform Team</div><div>
The Agentic AI Platform Team is a new team. This role will have significant influence on the technical strategy and implementation. The team is currently reporting through Trimble&rsquo;s AECO segment, though we fully expect the Agentic AI Platform services will be leveraged to build AI-powered products across Trimble Construction (AECO + FS).</div><div></div><div>
Trimble&rsquo;s Inclusiveness Commitment</div><div>
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.</div><div>
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.</div></li></ul><div><br>
How to Apply: Please submit an online application for this position by clicking on the &lsquo;Apply Now&rsquo; button located in this posting.</div><div><br>
Application Deadline: Applications could be accepted until at least 30 days from the posting date.</div><div></div><div>
Join a Values-Driven Team: Belong, Grow, Innovate.</div><div></div><div>
At Trimble, our core values of Belong, Grow, and Innovate aren't just words&mdash;they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.</div><div></div><div><div>
Trimble&rsquo;s Privacy Policy</div></div><div></div><div>
If you need assistance or would like to request an accommodation in connection with the application process, please contact AskPX@px.trimble.com.</div></div>

Agentic Artificial Intelligence Engineer

Adobe

Our Company
<br><br>
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
<br><br>
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
<br><br>
Senior Machine Learning Engineer - Agentic AI & Semantic Intelligence
<br>Job Description Summary
<br><b>Core Focus :</b> Develops modern agentic AI systems, reinforcement learning algorithms for autonomous agents, and sophisticated semantic search solutions. Builds full-stack ML systems from research prototypes to production deployment, combining deep learning, reinforcement learning, and semantic understanding technologies.
<br><b>Key Responsibilities :</b> Architects and develop agentic AI systems that autonomously create and manage audiences, implements RL frameworks for agent decision-making, and builds semantic search engines with advanced intent classification. Creates end-to-end solutions from algorithm implementation to API design.
<br><br>
The Opportunity
<br>Join Adobe's mission to revolutionize marketing automation through Agentic AI and Semantic Intelligence . We're building next-generation AI agents that autonomously understand marketer and user intent, make intelligent decisions about audience creation, and deliver personalized experiences through advanced semantic understanding.
<br>As a Senior Machine Learning Engineer specializing in Agentic AI and Reinforcement Learning , you'll be the technical architect behind our autonomous audience agents, developing sophisticated RL algorithms and semantic search systems that seamlessly integrate these capabilities.
<br><br>
What You'll Do
<br>Agentic AI & Reinforcement Learning
<br><br>
Design and implement RL frameworks for autonomous audience agents using advanced algorithms (PPO, A3C, SAC)
<br><br>
Develop multi-agent systems for collaborative audience creation and management tasks
<br><br>
Build reward functions and training environments that learn from real marketing outcomes
<br><br>
Architect agent systems (reactive, deliberative, hybrid) for real-world applications
<br><br>
Semantic Search & Intent Understanding
<br><br>
Build semantic search engines using transformer models, vector databases, and dense retrieval systems
<br><br>
Develop intent classification models that translate marketing queries into actionable audience definitions
<br><br>
Create embedding pipelines for real-time semantic matching between user profiles and objectives
<br><br>
Implement cross-encoder re-ranking systems for improved search relevance
<br><br>
Full-Stack Development & Research
<br><br>
Design end-to-end ML pipelines from data ingestion through model serving, monitoring and retraining
<br><br>
Build scalable APIs and microservices supporting real-time agent decision-making
<br><br>
Stay at the forefront of agentic AI research, implementing modern techniques from academic literature
<br><br>
Conduct applied research on novel RL formulations and semantic understanding techniques
<br>What You Need to Succeed
<br>Educational Requirements
<br><br>
Ph.D. in AI, ML, Computer Science, or related field with 2+ years of agentic AI/RL experience, OR
<br><br>
Master's degree with 5+ years building production ML systems focused on autonomous agents and semantic search
<br><br>
Core Technical Skills
<br><br>
<b>Agentic AI & Reinforcement Learning :</b><br>
Expert experience with RL frameworks (Ray RLlib, Stable-Baselines3, OpenAI Gym)
<br><br>
<b>Deep understanding of RL algorithms:</b> policy gradients, actor-critic methods, multi-agent RL
<br><br>
Hands-on experience building autonomous agents for real-world applications
<br><br>
<b>Semantic Search & NLP :</b><br>
Advanced expertise in transformer architectures, embedding models, and vector search
<br><br>
Production experience with semantic search systems (FAISS, Milvus, similar vector DBs)
<br><br>
Strong background in intent classification, BERT/sentence transformers, cross-encoder architectures
<br><br>
<b>Full-Stack Development :</b><br>
Expert Python programming with proficiency in Go, or Rust, or Java
<br><br>
Production ML experience with PyTorch/JAX, training, finetuning and model deployment
<br><br>
System design expertise for high-scale, low-latency ML serving infrastructure
<br><br>
Database proficiency (PostgreSQL, vector databases)
<br><br>
<b>Infrastructure & Operations :</b><br>
Large-scale data processing (Spark, Kafka, distributed computing)
<br><br>
Cloud platform expertise (AWS, GCP, Azure) with ML services
<br><br>
<b>MLOps capabilities:</b> CI/CD, model monitoring, A/B testing frameworks
<br><br>
API development and microservices architecture
<br>Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
<br><br>
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
<br><br>
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
<br><br>
<b>State-Specific Notices:</b><br>
<b>California :</b><br>
Fair Chance Ordinances
<br>Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
<b>Colorado:</b><br>
Application Window Notice
<br><br>
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
<br><br>
<b>Massachusetts:</b><br>
Massachusetts Legal Notice
<br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
<br><br>
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
<br><br>
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Sr. Machine Learning Engineer 5

Infosys

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>Responsible AI RAI Agentic AI Automation will help to lead the design development and deployment of autonomous AI agents that drive intelligent automation across enterprise systems</li>
<li>This role blends deep expertise in automation frameworks with cutting edge advancements in agentic AI enabling scalable adaptive and goal driven automation solutions</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Architect and implement agentic AI systems capable of autonomous decision making and task execution</li>
<li>Integrate AI agents with enterprise automation platforms e</li>
<li>g</li>
<li>UiPath Automation Anywhere Power Automate</li>
<li>Design multi agent workflows for complex business processes using LLMs RPA and orchestration tools</li>
<li>Collaborate with cross functional teams to identify automation opportunities and translate them into agentic solutions</li>
<li>Ensure ethical secure and compliant deployment of AI agents in production environments</li>
<li>Mentor junior automation engineers and contribute to thought leadership in agentic AI</li>
<li>Proven experience in intelligent automation RPA and AI ML integration</li>
<li>Strong understanding of agentic AI concepts e</li>
<li>g</li>
<li>goal oriented agents memory planning tool use</li>
<li>Hands on experience with LLM APIs OpenAI Azure OpenAI Anthropic etc</li>
<li>Proficiency in Python JavaScript or other scripting languages used in automation</li>
<li>Familiarity with orchestration tools vector databases and prompt engineering</li>
<li>Excellent problem solving communication and stakeholder management skills</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Good verbal written communication skills articulate value of AI to business project managers other team members</li>
<li>Ability to break complex problem into smaller problems and create hypothesis</li>
<li>Innovation and experimentation</li>
<li>Academic background Bachelor s or Master s degree in Computer Science AI or related field</li>
<li>Experience with LangChain AutoGPT or similar agent frameworks</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;Machine Learning-&gt;Generative AI,Technology-&gt;Machine Learning-&gt;Responsible AI</div>

Agentic AI Automation Lead

CloudAngles

<div><h2 class="jobSectionHeader"><b>Job Overview</b></h2><div>
We are seeking a highly experienced Lead<b> AI Developer</b> with extensive expertise in the latest <b>Generative AI (GenAI), Agentic AI, and other cutting-edge artificial intelligence technologies</b>. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments.</div><div>
This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to <b>push the boundaries of AI technology</b>.</div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><b>
Advanced AI Development:</b></li><li>
Architect, develop, and implement AI models and systems, with a strong focus on <b>generative and agentic AI</b>. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications.</li><li><b>
Research &amp; Innovation:</b></li><li>
Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and Agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities.</li><li><b>
Collaboration &amp; Integration:</b></li><li>
Work closely with cross-functional teams&mdash;including data scientists, software engineers, and product managers&mdash;to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms.</li><li><b>
Code Quality &amp; Mentorship:</b></li><li>
Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence.</li><li><b>
Performance Optimization &amp; Scalability:</b></li><li>
Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy.</li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li><b>
Experience:</b></li><li>
Extensive industry experience in <b>AI development</b>, with a strong portfolio demonstrating proficiency in <b>Generative AI</b> and <b>Agentic AI applications</b>.</li><li><b>
Technical Skills:</b></li><li><b>
AI Frameworks &amp; Libraries:</b> Hands-on experience with modern AI frameworks (e.g., <b>TensorFlow, PyTorch</b>) and familiarity with emerging Generative AI platforms.</li><li><b>
Programming Languages:</b> Proficiency in <b>Python</b>; exposure to <b>Rust</b> or <b>C++</b> is a plus.</li><li><b>
Data Management:</b> Expertise in handling <b>large-scale, data-intensive environments</b> and designing efficient data pipelines.</li><li><b>
Full Stack Development:</b> Strong experience in <b>frontend and backend development</b>.</li><li><b>
API Development:</b> Proven experience in <b>developing REST APIs</b> for scalable applications.</li><li><b>
AI Agent Development:</b> Practical experience with <b>LangChain, LangFlow</b>, and similar frameworks.</li><li><b>
Model Training &amp; Finetuning:</b> Hands-on experience in <b>training, fine-tuning, and deploying AI/ML models</b>.</li><li><b>
Cloud Expertise:</b> Familiarity with <b>AWS or GCP cloud environments</b> for deploying AI workloads.</li><li><b>
Protocols:</b> Worked with advanced protocols like <b>MCP (Model Context Protocol)</b> and <b>A2A (Agent-to-Agent)</b> communication.</li><li><b>
Core Competencies:</b></li><li>
Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.</li><li>
Excellent communication skills for effective collaboration across diverse teams.</li><li>
Familiarity with <b>Agile methodologies</b> and best practices in software development.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Advanced degrees (Master&rsquo;s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>
Experience with <b>cloud-based AI solutions and infrastructure</b> (e.g., AWS, Azure, Google Cloud).</li><li>
Proven track record of contributing to <b>AI research publications or patents</b> in Generative AI or Agentic AI.</li><li>
Knowledge of <b>ethical AI practices</b>, ensuring model fairness, transparency, and accountability.</li></ul></div><div></div>

CA0226 - Lead AI Developer

Goldman Sachs

<div><div><div><div><div><div><div><p>WHO WE ARE<br>
Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals.<br>
Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centres around the world.<br>
We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasise integrity, commitment to excellence, innovation and teamwork.</p><p><br>
BUSINESS UNIT OVERVIEW<br>
Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and workflows.</p><p><br>
TEAM OVERVIEW<br>
The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firm&acirc;&#128;&#153;s large-scale compute infrastructure and extensive application estate. Building on strengths in statistical modelling, anomaly detection, predictive modelling, and time-series forecasting, we leverage foundational LLM Models to orchestrate multi-agent systems for automated production management services. By unifying classical ML with agentic AI, we deliver reliable, explainable, and cost-efficient operations at scale.</p><p><br>
ROLE AND RESPONSIBILITIES<br>
In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.<br>
What you&acirc;&#128;&#153;ll do:<br>
&acirc;&#128;&cent; Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.<br>
&acirc;&#128;&cent; Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations</p>
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&acirc;&#128;&cent; Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.<br>
&acirc;&#128;&cent; Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.<br>
&acirc;&#128;&cent; Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.<br>
&acirc;&#128;&cent; Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.<br>
&acirc;&#128;&cent; Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.<br>
&acirc;&#128;&cent; Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.<br>
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QUALIFICATIONS<br>
A Bachelor&acirc;&#128;&#153;s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist / machine learning engineer.</p><p><br>
ESSENTIAL SKILLS<br>
&acirc;&#128;&cent; 2+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.<br>
&acirc;&#128;&cent; 1+ years building production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.<br>
&acirc;&#128;&cent; Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).<br>
&acirc;&#128;&cent; Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).<br>
&acirc;&#128;&cent; Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.<br>
&acirc;&#128;&cent; Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.<br>
&acirc;&#128;&cent; Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).</p><br>
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YOUR CAREER</p>
<p>
Goldman Sachs is a meritocracy where you will be given all the tools to advance your career. At Goldman Sachs, you will have access to excellent training programmes designed to improve multiple facets of your skill portfolio. Our in-house training programme, &acirc;&#128;&#156;Goldman Sachs University&acirc;&#128;&#157; offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical, business and leadership skills.</p><br>
<p></p>
<div>
ABOUT GOLDMAN SACHS
</div><div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
</div><div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.
</div><div>We&acirc;&#128;&#153;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><br>
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</div><div>&Acirc;&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
</div><div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div></div></div></div></div></div></div><div><div><div><div><div><b>We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Analyst
OFFICE LOCATION(S)
Bengaluru
JOB FUNCTION
Software Engineering
DIVISION
Engineering Division</p>

Engineering-L2-Bengaluru-Analyst-Software Engineering

Accenture

<p><b>Project Role : </b>Data Platform Engineer<br>
<b>Project Role Description : </b>Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
<br>
<b>Must have skills : </b>Databricks Unified Data Analytics Platform<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture strategy. Job Title: Generative AI Engineer Job Description: We are seeking a Generative AI Engineer with 3.5+ years of experience to work with cutting-edge AI technologies, including RAG (Retrieval-Augmented Generation), Agentic AI, and transformer-based architectures, along with strong Python programming skills, to design, implement, and optimize AI-driven data solutions. Roles &amp; Responsibilities: Design and implement AI-powered data pipelines leveraging RAG models and transformers for advanced knowledge retrieval and generation tasks. Utilize LangChain, LangGraph, and other frameworks to build and integrate intelligent workflows and conversational agents. Develop Agentic AI solutions to create autonomous, goal-driven agents that interact with dynamic environments and data. Optimize data storage, processing, and retrieval techniques for large-scale AI platforms. Engineer prompt structures for optimized performance in generative AI tasks, including natural language processing (NLP) and multimodal applications. Ensure robust data privacy and security measures are in place for all AI-driven systems. Continuously monitor, troubleshoot, and enhance AI system performance. Collaborate with cross-functional teams (e.g., Data Scientists, Engineers) to integrate generative AI models into real-world data solutions. Required Technical Skills: 3.5+ years of hands-on experience in Python for building AI models and systems. Strong expertise in Generative AI frameworks, such as RAG (Retrieval-Augmented Generation), transformers, and agentic models. Proficiency in LangChain, LangGraph, and Agentic AI frameworks to develop intelligent, goal-oriented agents and workflows. Hands-on experience with prompt engineering for optimizing generative AI outputs. Strong experience with cloud-based platforms like AWS, Azure, or GCP for deploying AI solutions. Deep understanding of data governance, compliance, and security standards in AI applications. Familiarity with NLP libraries (like Hugging Face, spaCy, NLTK) and machine learning frameworks (like TensorFlow, PyTorch). Experience working with Databricks or similar platforms for AI/ML model deployment and scaling. Preferred Skills: Experience in deploying AI models with real-time inference capabilities. Familiarity with reinforcement learning, active learning, and multi-agent systems. Knowledge of computer vision and multimodal AI techniques (text, images, video, etc.). Understanding of data modeling for AI-powered systems and integration with existing data pipelines. Educational Qualification: - 15 years full time education is required.</p>
<br>
15 years full time education

Data Platform Engineer

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