(immediate joiner) mern/full stack developers

.net developer

agentic ai engineer

ai / ml engineer

ai engineer

ai engineers

automation engineer

Aseiro Industries Private Limited

Key ResponsibilitiesDesign and develop industrial automation solutions.Program and troubleshoot PLCs (Siemens, Allen-Bradley, Delta, Mitsubishi, etc.).Develop and modify HMI and SCADA applications.Configure and commission VFDs, servo drives, motors, sensors, encoders, and instrumentation.Design and test electrical control panels.Install, commission, and support automation systems at customer sites.Diagnose and resolve electrical and automation issues.Prepare electrical drawings, I/O lists, BOMs, and technical documentation.Integrate robots and AI-based machine vision systems where required.Coordinate with customers during FAT, SAT, and project commissioning.Ensure compliance with quality and safety standards.Preferred Skills :PLC programming, HMI and SCADA developmentIndustrial networking (Modbus, Profinet, Ethernet/IP)Electrical panel designMotion control and servo systemsMachine vision and AI inspection systemsIndustrial roboticsRoot cause analysis and troubleshootingStrong communication and customer support skillsQualification:Diploma/B.E./B.Tech in Electrical, Electronics, Instrumentation, Mechatronics, or Automation Engineering.2&ndash;5 years of experience in industrial automation (experience requirements may vary by role).Industries Served:The role involves working on projects in industries such as Pharma, Steel, Cement, Paper, Mining, Material handling and Factory automationPay: ₹400,000.00 - ₹600,000.00 per yearWork Location: In person

Automation Engineer

Precisely

<div>
 
 
 
 Application and Interview Impersonation Notice
 
 :&nbsp;
 
 Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (&ldquo;Precisely&rdquo;) is unlawful. &nbsp;If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
 
 
 Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
 
 
 Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
 
 
 
 Overview:
 
 Senior Automation Engineers at Precisely design, build, and scale automation that connects tools, systems, and teams across globalization and user assistance operations. As a senior member of a global team, you work closely with engineers, information developers, localization specialists, DevOps, and other cross-functional stakeholders in an Agile, agentic-first environment. You lead the design and evolution of automation frameworks, reduce manual effort at scale, improve system reliability, and enable end-to-end workflows through API integrations, scripting, CI/CD, and AI-enabled automation.
 
 
 
 What you will do:
 
 
 <ul>
 <li>
 Lead the design and implementation of automation supporting workflows across the documentation and software development lifecycle, including content creation, validation, publishing, UI localization, translation, and delivery.
 </li>
 <li>
 Design, build, and operate production-grade agents, skills, scripts, and automation pipelines that replace complex, manual, and repetitive processes across documentation, localization, and language operations.
 </li>
 <li>
 Architect and integrate systems across documentation, localization, and content platforms using MCPs and REST APIs to enable reliable, scalable, and secure end-to-end workflows.
 </li>
 <li>
 Apply AI and LLM-based capabilities to generate, validate, transform, enrich, and manage content in alignment with approved security, privacy, and compliance standards.
 </li>
 <li>
 Own the reliability, performance, and maintainability of automation systems through monitoring, troubleshooting, and continuous improvement.
 </li>
 <li>
 Define and contribute to standards, patterns, and reusable components that support consistent and scalable automation practices.
 </li>
 <li>
 Mentor team members through technical guidance, design reviews, and knowledge sharing.
 </li>
 <li>
 Partner cross-functionally to advance automation maturity, innovation, and AI-assisted documentation and localization workflows.
 </li>
 <li>
 Other duties may be assigned.
 </li>
 </ul>
 
 
 What we are looking for:
 
 
 <ul>
 <li>
 BA/BS degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
 </li>
 <li>
 5+ years of experience in automation engineering, software engineering, or systems integration, preferably supporting developer platforms, documentation, localization, or content operations.
 </li>
 <li>
 Strong proficiency in Python, with experience building maintainable, testable, production-grade automation and agent frameworks.
 </li>
 <li>
 Advanced experience with Git-based workflows such as GitHub, including pull requests, code reviews, and repository automation.
 </li>
 <li>
 Experience with work-tracking and planning tools such as Jira, Linear, or similar systems.
 </li>
 <li>
 Strong understanding of CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
 </li>
 </ul>
 
 
 AI Skills / Knowledge:
 
 
 <ul>
 <li>
 Strong experience using AI-assisted engineering tools (e.g., GitHub Copilot, Cursor) with awareness of responsible AI practices including security, privacy, bias, and traceability.
 </li>
 <li>
 Proven ability to design and operate production automation using Python and REST APIs.
 </li>
 <li>
 Hands-on experience building and maintaining automation pipelines using Git-based CI/CD systems.
 </li>
 <li>
 Demonstrated experience integrating LLMs via APIs to automate documentation and language operations.
 </li>
 </ul>
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination and failure recovery.
 </li>
 <li>
 Experience owning or evolving shared automation frameworks used across multiple products or teams.
 </li>
 <li>
 Familiarity with observability, metrics, and cost tracking for AI-driven automation systems.
 </li>
 <li>
 Experience containerizing, deploying, or operating long-running automation or agent services in production environments.
 </li>
 </ul>
 
 
 
 The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
 
</div>

Senior AI Automation Engineer – Agentic AI (Python)

Cisco

<div>
 
 
 Job Description
 
 
 
 You will be a member of a software engineering team that develops tools and integrations for a portfolio of cloud infrastructure services supporting Cisco&rsquo;s critical business operations.
 
 
 As a Software (AI / Private Cloud / Virtualization) Engineer with extensive experience in enterprise-level private cloud and AI-driven automation setups, you will join a dynamic and agile team of engineers focused on developing platform automation, operational tooling, and intelligent systems for large-scale infrastructure environments.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 As a
 
 Software Engineer with the Cloud Infrastructure Platform Team
 
 , you will:
 
 
 &bull; Participate in architect and design scalable solutions supporting Infrastructure and AI Platform Services for enterprise private cloud environments.
 
 
 &bull; Design, develop, and maintain automation frameworks for managing large-scale OpenStack-based private cloud infrastructure.
 
 
 &bull; Develop and deliver software/tools required for building and improving the functionality, reliability, availability, and manageability of applications/services and cloud platforms using a DevOps model.
 
 
 &bull; Ensure the quality, performance, robustness, and scalability of the services you implement.
 
 
 &bull; Drive AIOps initiatives across infrastructure platforms by collaborating with multi-functional teams including SRE and Software Engineers to operationalize and optimize AI/LLM-based automation solutions.
 
 
 &bull; Develop infrastructure automation tools and frameworks using Python along with automation tools such as Ansible and CI/CD pipelines.
 
 
 &bull; Build AI-powered assistants, RAG-based systems, or agentic automation solutions to help automate operational workflows across the private cloud platform.
 
 
 &bull; Collaborate with platform and SRE teams to identify automation opportunities and develop plug-and-play AI solutions for platform operations.
 
 
 &bull; Assist in implementing AIOps practices such as intelligent monitoring, log analysis, alert correlation, and automated remediation workflows.
 
 
 &bull; Automate the development, testing, and deployment processes through CI/CD pipelines using Git, GitHub Actions,CI, Jenkins, Helm, or similar tools.
 
 
 &bull; Develop microservices and REST APIs supporting infrastructure automation and operational tooling.
 
 
 &bull; Work with containerized environments and orchestration platforms such as Kubernetes and Docker.
 
 
 &bull; Ensure platform reliability, scalability, and performance through strong engineering practices, observability, and automation.
 
 
 &bull; Conduct code reviews, establish engineering best practices, and mentor junior engineers.
 
 
 &bull; Stay updated on emerging technologies in AI/ML, cloud infrastructure, and automation to influence platform enhancements.
 
 
 &bull; Apply global knowledge of IT infrastructure to develop standard solutions that can be leveraged across multiple areas.
 
 
 &bull; Evaluate new and emerging technologies and determine their applicability to the platform engineering group.
 
 
 &bull; Generate ideas and technical strategies and present them to peers and stakeholders for feedback.
 
 
 
 
 
 
 
 
 
 Minimum Qualifications / Requirement:
 
 
 
 &bull; Experience: 5+ years of software engineering experience, including exposure to AI/ML or AI-driven automation initiatives.
 
 
 &bull; Hands-on experience operating or automating OpenStack-based private cloud environments.
 
 
 &bull; Strong programming skills in Python.
 
 
 &bull; Experience with infrastructure automation tools such as Ansible.
 
 
 &bull; Experience working with Kubernetes for cluster management, container orchestration, and platform services.
 
 
 &bull; Experience with Docker containerization and microservices-based architectures.
 
 
 &bull; Experience developing AI or LLM-powered operational assistants, chatbots, or internal developer tools.
 
 
 &bull; Experience implementing RAG (Retrieval-Augmented Generation) pipelines to query operational documentation, runbooks, and infrastructure data.
 
 
 &bull; Experience building CI/CD pipelines for infrastructure or platform services using tools such as GitHub Actions, GitLab CI, Jenkins, or similar.
 
 
 &bull; Familiarity with monitoring, logging, and observability platforms used in large-scale distributed systems.
 
 
 &bull; Experience working with databases such as MySQL, MongoDB, or similar systems.
 
 
 &bull; Experience working with messaging systems such as Kafka or similar event-streaming platforms.
 
 
 &bull; Interest in applying AI and machine learning techniques to platform operations, automation, and AIOps initiatives.
 
 
 &bull; Strong debugging and problem-solving skills in complex distributed systems.
 
 
 &bull; Experience mentoring engineers and contributing to architectural or technical decision-making.
 
 
 
 
 
 
 
 
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you
 
</div>

Software Engineer (AI)

Providence Global Center

<div><div><div>About Providence
Providence, one of the US&rsquo;s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, &lsquo;Health for a better world&rsquo;, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.
Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.
Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale. 
 
Why Us?
<ul><li>Best In-class Benefits</li>
<li>Inclusive Leadership</li>
<li>Reimagining Healthcare</li>
<li>Competitive Pay</li>
<li>Supportive Reporting Relation</li>
</ul>
</div></div><div><div><div><div>Cybersecurity at Providence is responsible for appropriately protecting all information relating to its caregivers and affiliates, as well as protecting its confidential business information (including information relating to its caregivers, affiliates, and patients) 


What will you be responsible for?
<ul>
<li>Responsible for driving automation within Providence CYBR Attack Surface Management team and services to bring in process efficiency and improvements in cyber security teams.</li>
<li>Driving security automation workflows and build automation to bring impact in everyday workflows in Vulnerability and threat management, Application security, and Container security.</li>
<li>Maintain, create and secure CI/CD pipelines for application deployment using GitHub action and ADO pipelines.</li>
<li>Develop dynamic dashboards and graph using tools such as Power BI, Grafana for visualization of metrics.</li>
<li>Quickly adapt to technology changes in AI, Security and constantly keep updated on security trends and threat landscape.</li>
<li>Identify scope for automation that improves security best practices and implement process workflows that strengthen the overall security posture.</li>
<li>Troubleshoot, debug, and optimize existing and new automation code/scripts and stay ahead of with cyber threats in healthcare and overall threat landscape and attack methods in cyber security industry.</li></ul> 


What would your work week look like?
<ul>
<li>Collaborate with cross-functional teams and engage in building process and tool automation opportunities in threat and cyber incident response.</li>
<li>Constantly look for healthcare-oriented threats and risks and build automation workflows using enterprise tools for alerting and response.</li>
<li>Work with automation tools to create new or review/optimize existing automation workflows.</li>
<li>Maintain, run and troubleshoot automation workflows and keep the automation code free from security vulnerabilities.</li>
<li>Identify and implement automation use cases that aligns with industry standard frameworks such as NIST, CIS and Providence information security policies etc.</li>
<li>Set-up regular meetings with stakeholders to show progress of automation use cases implemented with applicable metrics.</li>
<li>Clearly communicate security automation roadmap, backlog, and team updates across the organization.</li>
</ul>
Who are we looking for?
<ul>
<li>Bachelor&rsquo;s degree in related filed, to include computer science, cyber security or equivalent combination of education and experience.</li>
<li>3-6 years of relevant post-qualification experience, with at least 2 years of proven experience in building automation workflows using for security engineering and security operation functions.</li>
<li>Solid understanding of building or writing automation scripts using Python, PowerShell or any other scripting language.</li>
<li>Solid hands-on experience in building CI/CD pipelines, GitHub actions, ADO pipelines and container workloads deployment.</li>
<li>Solid understanding in building secure API integration with industry standard EDR, SIEM, firewall and vulnerability management tools.</li>
<li>Good understanding in implementing automation best practices and workflows- Secure key management and rotation, efficient resource handling etc.</li>
<li>Understanding of AI and Large Learning Models (LLMs) and ability to leverage them to build security automation workflows.</li>
<li>Familiarity with cloud native solutions, application containerization and container orchestration (Docker, Kubernetes), Infrastructure as Code (IaC), helm charts and YAML template configuration.</li>
<li>Scripting or programming understanding with Shell scripting, Power Shell, KQL, CQL query languages is desirable.</li>
</ul>
</div></div></div></div><div><div>Providence&rsquo;s vision to create &lsquo;Health for a Better World&rsquo; aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization&rsquo;s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.
Contact our Integrity hotline also, read our Code of Conduct.</div></div></div>

Sr. Cybersecurity Engineer

Accenture in India

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Machine Learning (ML)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 3 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Role Summary
 
 
 We are seeking a hands-on AI Native Engineer who can design, build, and deploy end-to-end agentic and LLM-powered systems. This includes constructing RAG pipelines, working with vector databases, building autonomous or semi-autonomous agents, integrating tools and skills, and developing evaluation frameworks for high-quality AI behaviour. You will prototype rapidly, experiment with models, and evolve solutions from PoC to production while working closely with cross-functional teams.
 
 
 AI Powered Tech Talent
 
 
 Key Responsibilities
 
 
 Agentic &amp; LLM System Development
 
 
 Build agentic AI systems, including agent orchestration, planning loops, tool calling, and memory modules.
 
 
 Implement LLM toolchains, custom prompts, templates, evaluators, and multi-step reasoning workflows.
 
 
 Develop autonomous/semi-autonomous agents for retrieval, summarization, decision support, or workflow automation.
 
 
 RAG Pipelines &amp; Vector Intelligence
 
 
 Design and implement RAG pipelines end-to-end: ingestion, chunking, embeddings, indexing, vector search, hybrid retrieval, and grounding.
 
 
 Integrate vector databases such as pgvector, Pinecone, Weaviate, or Milvus.
 
 
 Optimize retrieval quality, latency, and factual accuracy using rerankers, retrieval evaluators, and freshness pipelines.
 
 
 Model Integration &amp; AI Ops
 
 
 Integrate enterprise-grade AI APIs, foundation models, and transformer models into scalable systems.
 
 
 Implement robust evaluation frameworks including offline and online evals, regression tests, content safety checks, and red-team scenarios.
 
 
 Build monitoring for model drift, agent failure modes, hallucination detection, and end-to-end system health.
 
 
 Full-Stack &amp; Cloud Alignment
 
 
 Deploy services using Python/Node/Java microservices, serverless functions, or containerized workloads.
 
 
 Integrate event streams, API gateways, and cloud-native patterns across Azure/AWS/GCP.
 
 
 Build CI/CD pipelines for AI services with safe rollouts, versioning, and feature flags for model updates.
 
 
 Prototyping &amp; Rapid Iteration
 
 
 Rapidly experiment with models, embeddings, architectures, and agentic patterns.
 
 
 Translate business requirements into AI-native technical architectures and communicate trade-offs via demos and deep-dives.
 
 
 Document designs, experiments, and evaluation results for reproducibility and knowledge sharing.
 
 
 Professional &amp; Technical Skills
 
 
 Must-Have (AI Native Core)
 
 
 Hands-on experience with LLMs, agent frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen), and vector DBs.
 
 
 Strong Python skills for building agents, RAG services, data pipelines, and evaluation harnesses.
 
 
 Deep understanding of transformer models, embeddings, prompt engineering, and model fine-tuning workflows.
 
 
 Experience deploying AI systems to production with monitoring, error handling, retries, and fallback strategies.
 
 
 Good to Have
 
 
 Experience with cloud AI platforms (Azure OpenAI, Bedrock, Vertex AI).
 
 
 Knowledge of multimodal models, reinforcement learning, or advanced reasoning agents.
 
 
 Familiarity with evaluation frameworks (pytest, JUnit) and custom eval harnesses.
 
 
 Additional Information
 
 
 Minimum 3 years of experience in ML/AI engineering (AI-native experience preferred).
 
 
 Location: Bengaluru.
 
 
 Education: 15 years full-time education., 15 years full time education
</div>

AI / ML Engineer

Aliqan Technologies

Job Description &ndash; GenAI EngineerPosition: GenAI Engineer Experience: 5.5 &ndash; 9 Years Location: Mumbai, Bangalore, Gurugram, Chennai Work Mode: Hybrid (3 Days Work From Office &ndash; Mandatory) Work Location: Candidate must be willing to work from the client location. CTC: Up to ₹36 LPAAbout the RoleWe are looking for an experienced GenAI Engineer with strong expertise in Large Language Models (LLMs), Generative AI, NLP, Computer Vision, and cloud technologies. The ideal candidate should be capable of designing and developing end-to-end AI-powered solutions while working closely with cross-functional teams to build scalable, production-ready applications.Key Responsibilities<ul><li>Design, develop, and deploy advanced solutions using Large Language Models (LLMs).</li><li>Take complete ownership of end-to-end solution development from design to deployment.</li><li>Research and stay updated with the latest advancements in Generative AI, LLMs, and AI frameworks.</li><li>Develop reusable code libraries, frameworks, and tools for AI application development.</li><li>Participate in code reviews and ensure adherence to coding standards and best practices.</li><li>Contribute across the complete Software Development Life Cycle (SDLC), including design, development, testing, deployment, and maintenance.</li><li>Collaborate with product managers, engineering teams, and stakeholders to integrate AI solutions into enterprise applications.</li><li>Analyze business problems and translate them into scalable AI-driven solutions.</li><li>Troubleshoot, optimize, and improve AI models and application performance.</li><li>Communicate effectively with technical and non-technical stakeholders.</li></ul>Required Skills1. Natural Language Processing (NLP)Hands-on experience in one or more of the following:<ul><li>Use case classification</li><li>Topic modeling</li><li>Question Answering (Q&amp;A)</li><li>Chatbots</li><li>Enterprise Search</li><li>Document AI</li><li>Text Summarization</li><li>Content Generation</li></ul>OR2. Computer Vision &amp; Audio AIHands-on experience in:<ul><li>Image classification</li><li>Object detection</li><li>Image segmentation</li><li>Image generation</li><li>Audio analysis</li><li>Video analysis</li></ul>Generative AI &amp; LLMsSaaS LLM PlatformsExperience with:<ul><li>LangChain</li><li>LlamaIndex</li><li>Vector Databases</li><li>Prompt Engineering (Chain of Thought, Tree of Thought, ReAct, AI Agents)</li><li>Azure OpenAI</li><li>Google Vertex AI</li><li>AWS Bedrock</li><li>Multi-modal AI (Text, Audio, Image, Video)</li></ul>Open Source LLMsKnowledge of:<ul><li>Hugging Face</li><li>TensorFlow</li><li>PyTorch</li><li>LLM Fine-tuning (PEFT)</li><li>RLHF (Reinforcement Learning from Human Feedback)</li><li>Quantization</li><li>Data Annotation Workflows</li><li>GPU Utilization and Optimization</li></ul>Cloud TechnologiesHands-on experience with one or more cloud platforms:<ul><li>Microsoft Azure</li><li>Amazon Web Services (AWS)</li><li>Google Cloud Platform (GCP)</li></ul>Preferred:<ul><li>Cloud Certification (Azure/AWS/GCP)</li></ul>Application Development SkillsStrong experience in:<ul><li>Python</li><li>Docker</li><li>FastAPI / Django / Flask</li><li>Git &amp; Version Control</li><li>REST APIs</li><li>Microservices Architecture</li></ul>Required Qualifications<ul><li>5.5&ndash;9 years of overall software development experience.</li><li>Strong experience in Generative AI and LLM-based application development.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and take ownership of projects.</li><li>Experience building scalable, production-ready AI applications.</li></ul>Preferred Skills<ul><li>Experience with RAG (Retrieval-Augmented Generation) architectures.</li><li>Knowledge of Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus, etc.).</li><li>Experience deploying AI applications on cloud platforms.</li><li>Exposure to MLOps and CI/CD pipelines.</li><li>Experience with AI Agents and Agentic AI frameworks.</li></ul>Pay: ₹2,500,000.00 - ₹3,600,000.00 per yearWork Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

Generative AI Engineer

Mindsprint

<div>
 
 
 About the Role
 
 
 
 
 
 
 
 We are seeking an experienced AI Engineer with 4+ years of strong expertise in Generative AI and Agentic AI, combined with solid production engineering capabilities.
 
 
 
 
 
 
 The ideal candidate will have hands-on experience building, deploying, and scaling LLM-powered systems &mdash; moving beyond prototypes into robust, enterprise-grade AI applications.
 
 
 Key Responsibilities
 
 
 
 
 
 &bull; Design, build, and deploy GenAI / Agentic AI solutions, including:
 
 
 o LLM pipelines
 
 
 o Retrieval-Augmented Generation (RAG) systems
 
 
 o Autonomous AI agents
 
 
 &bull; Develop scalable APIs, microservices, and model-serving architectures using cloud platforms (Azure preferred).
 
 
 &bull; Implement:
 
 
 o Prompt engineering and prompt workflows
 
 
 o Embeddings and vector search
 
 
 o Guardrails and safety mechanisms for responsible AI
 
 
 &bull; Deploy production AI systems using:
 
 
 o Docker, Kubernetes o CI/CD pipelines
 
 
 o Monitoring and observability frameworks
 
 
 
 
 
 &bull; Integrate AI solutions with enterprise systems, data sources, and external APIs.
 
 
 &bull; Ensure reliability, performance, compliance, and alignment with Responsible AI standards.
 
 
 Must-Have Skills (GenAI / Agentic AI)
 
 
 &bull; Hands-on experience in Generative AI development using models such as:
 
 
 o GPT, Claude, Llama, Mistral, etc.
 
 
 
 
 
 &bull; Strong experience in Agentic AI, including:
 
 
 o Multi-step AI agents o Tool-calling workflows
 
 
 o Autonomous task pipelines
 
 
 &bull; Expertise in RAG architectures and vector databases such as:
 
 
 o Pinecone, FAISS, Chroma, Azure Cognitive Search
 
 
 &bull; Proficiency in Python or JavaScript/TypeScript.
 
 
 &bull; Experience with frameworks like: o Azure OpenAI, LangChain, LlamaIndex, or similar
 
 
 &bull; Strong production engineering skills:
 
 
 o Docker, Kubernetes
 
 
 o CI/CD pipelines o API development and deployment best practices Nice to Have
 
 
 &bull; Model fine-tuning, quantization, or optimization experience.
 
 
 &bull; Familiarity with LLM evaluation frameworks such as:
 
 
 o Ragas, TruLens, DeepEval
 
 
 &bull; Exposure to event-driven or real-time AI systems.
 
 
 
 
 
 Job Location Chennai/Bangalore (Hybrid Model)
 
</div>

Agentic AI Engineer

Explore 51+ Automation engineer in India this July. Find roles across top companies and apply now to boost your career.