(immediate joiner) mern/full stack developers

agentic ai engineer

ai / ml engineer

ai engineers

automation engineer

data engineer

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

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

Humaniquee

HUMANIQUEEECreating OpportunitiesJob DescriptionAI Elective Faculty &ndash; 3-Year Degree ProgramsLOCATIONIndore, Madhya PradeshEXPERIENCE2+ Years in Industry / AcademiaEMPLOYMENT TYPEFull-Time / Part-TimePROGRAM3-Year Degree ProgramAbout the RoleHumaniqueee is hiring an AI Elective Faculty member to design, teach, and inspire students through a dedicated AI elective track spanning all three years of our 3-year degree programs. This role is ideal for an experienced professional or academic who is passionate about shaping the AI-ready workforce of tomorrow.What You Will DoTeach &amp; Inspire: Deliver AI elective modules across all 3 years (Foundation, Application, Specialization &amp; Capstone).Guide &amp; Mentor: Support students in hands-on labs, projects, and capstone development.Industry Connect: Bring real-world use cases, tools, and best practices into the classroom.Assess &amp; Evaluate: Continuously assess learning, projects, and outcomes.Innovate &amp; Improve: Contribute to curriculum updates and tool refresh in line with industry trends.What We ExpectStrong industry or academic background in AI/ML, Data Science, or related fields.Hands-on experience with AI tools and real-world projects.Excellent communication and mentoring skills.Passion for teaching and student success.Commitment to ethics, responsible AI, and academic integrity.Our AI Elective Track (3 Semesters Over 3 Years)Year 1 &ndash; FoundationAI Literacy + Everyday Productivity in the DisciplineYear 2 &ndash; ApplicationField-Specific AI Tooling and WorkflowsYear 3 &ndash; Specialization &amp; CapstoneIndustry-Grade Pipelines &amp; Portfolio-Quality Capstone&ldquo;One Track. Three Years. Limitless Impact.&rdquo;Why Join UsImpact Learning &ndash; shape how the next generation engages with AI.Build Tomorrow &ndash; help design an industry-relevant, future-ready curriculum.Grow Together &ndash; be part of a collaborative, mission-driven team.Make an Impact Every Day &ndash; mentor students from foundation to capstone success.Pay: ₹472,403.35 - ₹576,224.64 per yearBenefits:<ul><li>Provident Fund</li></ul>Experience:<ul><li>AI tools : 3 years (Required)</li><li>Data science: 3 years (Required)</li></ul>Work Location: In person

AI 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

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

Great Learning

<div><div>Job Description
<ul><li>Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and follow it through to a business decision and measurable outcome.</li><li>Develop data and AI-powered solutions &mdash; predictive models, automated pipelines, intelligence layers &mdash; that drive real outcomes and reduce the need for manual intervention.</li><li>Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models, and comprehensive data quality checks that the wider team can trust and build upon.</li><li>Build and optimize the analytics intelligence layer to ensure the automated, scheduled delivery of granular insights to the appropriate stakeholders.</li></ul> 
</div><div>Qualifications 
<div> 
<ul><li>1+ years of applied experience working on analytics or data science projects</li><li>Advanced problem-solving capabilities, with a track record of navigating ambiguous questions to identify root causes rather than simply executing requested queries.</li><li>Strong Python and SQL, and solid data-management fundamentals.</li><li>Baseline AI fluency, including active use of LLMs for workflow optimization and hands-on experience building AI-powered operational workflows.</li><li>Intrinsically motivated problem solvers who demonstrate ownership and genuinely enjoy learning</li><li>The ability to work independently &mdash; you can take a problem, scope it, and run with it without being handed every step.</li></ul></div></div></div>

Data Scientist / AI Engineer / Analytics 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)

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