(immediate joiner) mern/full stack developers

agentic ai engineer

ai / ml engineer

ai engineer

automation engineer

data engineer

ai engineers

Infosys

<div>
 <ul>
 <li>
 Primary skills:Domain-&gt;Turbomachinery-&gt;Steam Turbine-&gt;Rotor
 
 
 </li>
 </ul>
 Key Responsibilities Design, develop, and deploy machine learning and AI models Build and maintain data pipelines for training and inference Work on supervised and unsupervised learning algorithms Implement NLP, Computer Vision, or Deep Learning solutions Optimize models for performance, scalability, and accuracy Collaborate with data engineers, analysts, and product teams Deploy models using cloud platforms (AWS/Azure/GCP) Monitor model performance and perform continuous improvements Conduct data preprocessing, feature engineering, and model evaluation Document models, processes, and experiments Required Skills &amp; Qualifications Technical Skills Strong proficiency in Python Experience with Machine Learning libraries: Scikit-learn TensorFlow / PyTorch Knowledge of data manipulation tools (Pandas, NumPy) Experience with ML algorithms (regression, classification, clustering) Familiarity with Deep Learning frameworks Knowledge of NLP or Computer Vision techniques Experience in model deployment (APIs, microservices) Strong understanding of statistics and probability
 
 
 Preferred Skills (Nice-to-Have) Experience with Generative AI / LLMs (GPT, LangChain, Hugging Face) Knowledge of MLOps tools (MLflow, Kubeflow, Airflow) Experience with Docker and Kubernetes Familiarity with Big Data tools (Spark, PySpark) Experience with REST APIs and microservices architecture Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP AI) Understanding of vector databases and embeddings (FAISS, Pinecone) Exposure to CI/CD pipelines and DevOps practices
</div>

AI Engineers

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)

Networsys Technologies

Job SummaryJob SummaryWe are looking for a highly motivated and experienced Technical Recruiter to manage the end-to-end recruitment process for technical positions. The ideal candidate should have a strong understanding of technology roles, sourcing strategies, and recruitment best practices. The recruiter will be responsible for identifying, attracting, and hiring top technical talent across various domains, including Software Development, Cloud, Data Engineering, Cybersecurity, DevOps, AI/ML, and Infrastructure.Key ResponsibilitiesTalent Acquisition<ul><li>Manage the complete recruitment lifecycle from requirement gathering to candidate onboarding.</li><li>Partner with hiring managers to understand technical hiring needs and job requirements.</li><li>Develop and execute effective sourcing strategies to attract high-quality technical talent.</li><li>Source candidates through LinkedIn, job portals, referrals, social media, networking, and talent databases.</li><li>Screen resumes and conduct initial HR and technical screening calls.</li><li>Coordinate interviews between candidates and hiring teams.</li><li>Manage offer negotiations and candidate engagement throughout the hiring process.</li><li>Ensure a positive candidate experience at every stage of recruitment.</li></ul>Technical Recruitment<ul><li>Recruit for positions such as:</li><li>Software Engineers</li><li>Full Stack Developers</li><li>Frontend &amp; Backend Developers</li><li>DevOps Engineers</li><li>Cloud Engineers</li><li>Data Engineers</li><li>Data Scientists</li><li>AI/ML Engineers</li><li>QA/Test Engineers</li><li>Cybersecurity Specialists</li><li>System Administrators</li><li>Technical Architects</li><li>Evaluate candidates based on technical skills, experience, and cultural fit.</li><li>Understand technical terminology, programming languages, frameworks, databases, and cloud technologies.</li></ul>Stakeholder Management<ul><li>Work closely with hiring managers and department heads to define hiring strategies.</li><li>Provide regular recruitment updates and hiring metrics.</li><li>Build strong relationships with candidates and internal stakeholders.</li></ul>Recruitment Operations<ul><li>Maintain accurate candidate records in the Applicant Tracking System (ATS).</li><li>Track recruitment KPIs including time-to-fill, offer acceptance rate, and sourcing effectiveness.</li><li>Ensure compliance with company recruitment policies and procedures.</li><li>Build and maintain talent pipelines for future hiring needs.</li></ul>Required QualificationsEducation<ul><li>Bachelor's degree in Human Resources, Business Administration, Computer Science, Information Technology, or a related field.</li></ul>Experience<ul><li>2&ndash;5 years of experience in Technical Recruitment, IT Recruitment, or Talent Acquisition.</li><li>Experience hiring for software development and technology roles.</li><li>Experience in domestic and/or international recruitment is preferred.</li></ul>Required SkillsRecruitment Skills<ul><li>Strong sourcing and headhunting capabilities.</li><li>Expertise in LinkedIn Recruiter, Naukri, Indeed, Monster, Dice, and other job portals.</li><li>Experience with Applicant Tracking Systems (ATS).</li><li>Knowledge of recruitment metrics and hiring processes.</li></ul>Technical KnowledgeUnderstanding of:<ul><li>Programming Languages: Java, Python, JavaScript, C#, .NET, Go</li><li>Frontend Technologies: React, Angular, Vue.js</li><li>Backend Technologies: Node.js, Spring Boot, Django, .NET Core</li><li>Databases: MySQL, PostgreSQL, MongoDB, SQL Server</li><li>Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)</li><li>DevOps Tools: Docker, Kubernetes, Jenkins, Terraform</li><li>Data Technologies: Spark, Hadoop, Snowflake, Databricks</li><li>AI/ML Concepts and tools (preferred)</li></ul>Soft Skills<ul><li>Excellent communication and interpersonal skills.</li><li>Strong negotiation and relationship-building abilities.</li><li>Ability to manage multiple open positions simultaneously.</li><li>Strong organizational and time-management skills.</li><li>Results-oriented with attention to detail.</li></ul>Key Performance Indicators (KPIs)<ul><li>Number of positions closed.</li><li>Time-to-fill and time-to-hire.</li><li>Offer acceptance rate.</li><li>Candidate quality and retention.</li><li>Hiring manager satisfaction.</li><li>Recruitment process efficiency.</li></ul>Preferred Qualifications<ul><li>Experience recruiting for product-based companies, startups, or IT services organizations.</li><li>Experience in international hiring (US, UK, Europe, Middle East, APAC).</li><li>Knowledge of Boolean search techniques and advanced talent sourcing.</li><li>Certification in Talent Acquisition or HR is a plus.</li></ul>Benefits<ul><li>Competitive salary and incentives.</li><li>Performance-based rewards.</li><li>Career growth opportunities.</li><li>Learning and development programs.</li><li>Exposure to cutting-edge technology hiring.</li></ul>Pay: ₹9,351.23 - ₹30,957.30 per monthWork Location: In person

HR Recruiter

Collabera

Position Details:-Experience: 6-9 YearsWork Location: Gurugram (Hybrid)Mode: Full Time PermanentJob Description:We are hiring mid-to-senior level Agentic / Generative AI Engineers (6&ndash;9 years&rsquo; experience) to design and deliver production-grade LLM-powered and agentic systems. This role is ideal for engineers with a strong Data Engineering / Data Science foundation who have transitioned into hands-on GenAI delivery&mdash;building real-world solutions such as RAG based assistants, document intelligence platforms, and agent-driven workflows. You will collaborate across data, platform, and business teams to build secure, scalable, and measurable AI applications for enterprise use cases.Key Responsibilities : Design and develop LLM-powered applications using agentic patterns (single/multi agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs) Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications Integrate LLM solutions with enterprise systems, data platforms, and workflows  Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling Contribute to reusable components, documentation, and engineering best practicesExperience &amp; Core Requirements (Must-Have) Overall Experience  6&ndash;9 years total experience 1&ndash;3+ years in hands-on GenAI / LLM application development (production use cases)LLM / GenAI &amp; Agentic Engineering  Strong hands-on experience with: o LLMs (Claude, OpenAI, etc.)o RAG pipelines and retrieval optimisationo GPT + Agentic AI implementation experience Experience with: o LangChain, LangGraph, or similar frameworks o Agent orchestration and tool-calling architectures Deep understanding of: LLM limitations, evaluation, and optimisation strategiesPay: ₹2,000,000.00 - ₹3,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Provident Fund</li></ul>Work Location: In person

Senior AI Data Engineer

LiveKit

<div><h2 class="jobSectionHeader">About LiveKit</h2>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.<h2 class="jobSectionHeader">
About This Role</h2>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.<h2 class="jobSectionHeader">
You'll Thrive Here If You:</h2><ul><li>
are obsessed with helping developers succeed</li><li>
are known as the go-to person for solving tricky technical issues</li><li>
work hard and can move fast without sacrificing quality</li><li>
care deeply about polish, detail, and clear communication</li><li>
are a fast learner, frequently picking up new tools, systems, and skills</li></ul><h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</li><li>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</li><li>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</li><li>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</li><li>
Debug and troubleshoot complex technical issues in production environments</li><li>
Lead technical workshops and architecture sessions with developers and product teams</li><li>
Translate customer needs into technical insights that inform product and platform development</li><li>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</li><li>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</li><li>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</li><li>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</li><li>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</li><li>
Experience building or integrating developer platforms or real-time systems</li><li>
Able to quickly understand complex systems and debug issues in real-world environments</li><li>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</li><li>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</li><li>
Excited to work hands-on with customers solving complex technical implementation challenges</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</li><li>
Familiarity with voice AI, conversational agents, or AI infrastructure</li><li>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</li><li>
Experience contributing to open-source projects or developer ecosystems</li><li>
Previous experience building with or integrating LiveKit</li></ul><h2 class="jobSectionHeader">
Our Commitment to You</h2><ul><li>
An opportunity to build something truly impactful to the world</li><li>
Contribute to open source alongside world-class engineers</li><li>
Competitive salary and equity package</li><li>
Health, dental, and vision benefits</li><li>
Flexible vacation policy</li></ul>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.
Compensation Range: ₹90L - ₹1.1Cr</div>

Forward Deployed Engineer

Sitero LLC

<div>Sitero is seeking a Senior AI Developer to design, build, and deploy next-generation AI-driven applications. You will bridge the gap between advanced machine learning models and scalable, production-ready enterprise solutions leveraging modern cloud AI platforms. 
Key Responsibilities
<ul>
<li>Application Architecture: Design robust, scalable architectures for AI-powered applications natively on the cloud.</li>
<li>Model Orchestration: Deploy and manage foundation models using AWS Bedrock and orchestrate complex prompt workflows.</li>
<li>API Development: Build and maintain secure, high-performance APIs and microservices using Python, Java, or Node.js.</li>
<li>Data Integration: Implement Retrieval-Augmented Generation (RAG) pipelines to connect internal corporate data with language models.</li>
<li>System Optimization: Optimize application latency, token throughput, and overall compute costs for AI inference.</li>
<li>Collaboration &amp; Mentorship: Partner with product teams to build AI agents and mentor junior engineers on engineering best practices.
</li></ul>Required Skills &amp; Qualifications
<ul>
<li>Education: Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.</li>
<li>AI &amp; Cloud Platforms: Deep hands-on experience with AWS Bedrock, including model evaluation and agent setup.</li>
<li>AI Ecosystem: Experience with orchestration frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.</li>
<li>Core Development: Strong software engineering proficiency in Python, Java, or Node.js.</li>
<li>Data Systems: Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.</li>
<li>Software Engineering: Solid understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows.
</li></ul>Preferred Qualifications
<ul>
<li>Experience with AWS Certified Generative AI Developer credentials or building production-grade enterprise agents.</li>
<li>Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques.</li>
<li>5-8 years experience</li></ul></div>

Senior AI Developer

Hevo Data

<div>
 
 About Hevo:
 
 
 
 At
 
 Hevo Data
 
 , we&rsquo;re building the future of data infrastructure for AI. Over 2,000 companies across 40+ countries trust Hevo to power their analytics. As a deep tech company, our engineering team solves some of the hardest problems in data integration, scale, and reliability. We&rsquo;re looking for a
 
 Senior Technical
 
 
 Recruiter
 
 who goes beyond keyword matching. We want someone who can
 
 understand the technology, assess candidates based on their past technical projects/work, and match them to the role we&rsquo;re hiring for
 
 .
 
 
 👉 If you can speak the language of engineers and help us identify the very best, let&rsquo;s talk.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Partner with engineering leaders to understand what a great candidate for that role looks like in each technical role (SDE-4, Staff Engineer, Principal Engineer)
 </li>
 <li>
 Evaluate candidate fitment by reviewing their past work, technical contributions, and problem-solving approaches
 </li>
 <li>
 Conduct structured technical conversations to pre-assess candidates before formal interviews
 </li>
 <li>
 Build and nurture long-term pipelines of deep-tech engineers in Backend, Frontend, DevOps, and Data Infra
 </li>
 <li>
 Apply a systematic approach to target, network and engage with passive talent pools
 </li>
 <li>
 Deliver an engaging candidate experience and be the brand ambassador for Hevo in this community of users
 
 
 
 </li>
 </ul>
 
 Desired Candidate Profile:
 
 
 
 <ul>
 <li>
 10+ years of technical recruiting experience with a focus on senior engineering roles
 </li>
 <li>
 Ability to understand engineering depth&mdash;you don&rsquo;t need to code, but you should be able to evaluate whether a backend engineer has built for scale, or if a DevOps engineer has automated infra at complexity
 </li>
 <li>
 Track record of closing Staff/Principal-level hires at product or deep-tech companies
 </li>
 <li>
 Ability to assess candidates beyond resumes&mdash;by understanding their technical impact and role fit
 </li>
 <li>
 Excellent storytelling skills to articulate Hevo&rsquo;s vision to top engineers
 </li>
 <li>
 Passion for technology and curiosity to dive into systems design, distributed infra, and cutting-edge data problems
 
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Build the Force that Builds the Future of Data: At Hevo, we&rsquo;re solving one of the hardest problems in data: building a reliable, scalable backbone for modern analytics. Your role is to assemble the team that makes this possible
 </li>
 <li>
 Solve Hard Talent Problems: We&rsquo;re hiring SDE-4 to Principal Engineers in domains where top talent is scarce. You&rsquo;ll lead the challenge of finding and convincing these engineers to join a fast-rising deep-tech product company
 </li>
 <li>
 Partner with Engineering Leadership: You&rsquo;ll work shoulder-to-shoulder with our founders and senior engineering leaders, not only to hire but to influence role design, bar-setting, and long-term team structure
 </li>
 <li>
 Build a Talent Brand in the Data Space: Hevo is competing with companies globally. You&rsquo;ll play a key role in building Hevo&rsquo;s reputation among senior engineers through outreach, positioning, and community presence
 </li>
 <li>
 Mentor TA Function: Coach and develop junior recruiters, embedding technical fluency and systematic hiring practices that will scale with Hevo
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Sr. Tech Recruiter

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