software engineer

civil engineer

purchase engineer

quality engineer

service engineer

ai engineer

Primotech

<p><b>Job Title:</b> AI Engineer<br/><b>Required Experience:</b> Min 2 years</p><p><b>Role Overview:</b><br/>We are looking for a hands-on backend engineer to build enterprise-grade Generative AI applications using the Google Cloud ecosystem. The engineer will be responsible for developing secure, scalable APIs that orchestrate data retrieval between Large Language Models (LLMs) and various data sources.</p><p><b>Key Responsibilities:</b></p><ul><li>Build and maintain production-ready REST APIs using Python (FastAPI)</li><li>Develop RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and Gemini</li><li>Write efficient integrations for structured and unstructured data retrieval using BigQuery</li><li>Implement LLM orchestration logic, prompt engineering, and response synthesis</li></ul><p><b>Required Skills:</b></p><ul><li><b>Python:</b> 2+ years (Proficient in Async, Pydantic, and API development)</li><li><b>GCP Vertex AI:</b> Experience with Vertex AI SDK, Agent Builder, or Discovery Engine</li><li><b>Database:</b> Strong SQL skills and experience integrating BigQuery with Python applications</li><li><b>AI/ML Concepts:</b> Deep understanding of vector search, embeddings, and LLM context management</li><li><b>Tech Stack:</b> Python, Google Cloud Platform (GCP), Vertex AI Services, BigQuery</li></ul><p>Job Type: Full-time</p><p>Pay: ₹20,000.00 - ₹30,000.00 per month</p><p>Benefits:</p><ul><li>Paid sick time</li><li>Paid time off</li></ul><p>Ability to commute/relocate:</p><ul><li>Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>AI Engineer: 2 years (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work Location: In person</p>

AI Engineer

Hiring Maverick

<p><b>Job highlights</b>B.E./B.Tech/M.Tech in Computer Science or related field with 1-3 years of AI/ML experienceDesign, develop, and deploy AI models; preprocess data; build APIs; collaborate with teamsMust have key skills</p><ul><li>Javascript,</li><li>Python</li><li>Artificial Intelligence,</li><li>Machine Learning</li></ul><p>Job descriptionWhat you&rsquo;ll do</p><p>About the Role</p><p>looking for a junior mid-level AI Engineer with 1&ndash;3 years of hands-on experience in machine learning / generative AI to help design, build, and deploy AI solutions for global clients. The role involves working on real-world projects in NLP, RAG, computer vision, and predictive analytics.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy machine learning and AI models for production use cases.</li><li>Collect, clean, and preprocess structured and unstructured data (text, images, logs, etc.).</li><li>Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Contribute to GenAI and RAG solutions using LLM frameworks (LangChain / LlamaIndex) and vector databases.</li><li>Build APIs / microservices (Python/FastAPI/Flask) to integrate AI models with applications.</li><li>Run experiments, evaluate models, and iterate using metrics such as accuracy, F1, ROC-AUC, BLEU, etc.</li><li>Work closely with senior engineers, data scientists, and product managers to understand business requirements and translate them into AI solutions.</li><li>Participate in code reviews, documentation, and MLOps workflows (versioning, monitoring, CI/CD for models).</li><li>Stay updated with latest research and tools in AI/ML and bring ideas to improve current solutions.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>B.E./B.Tech/M.Tech in Computer Science, IT, Data Science, or related field.</li><li>1&ndash;3 years of hands-on experience in AI/ML development (internships can be counted for freshers with strong projects).</li><li>Strong programming skills in Python and experience with ML libraries (NumPy, Pandas, Scikit-learn).</li><li>Practical experience building at least 1&ndash;2 end-to-end ML or GenAI projects (training, evaluation, deployment).</li><li>Knowledge of deep learning frameworks such as TensorFlow or PyTorch.</li><li>Good understanding of core ML concepts: supervised/unsupervised learning, feature engineering, overfitting, regularization, etc.</li><li>Basic understanding of cloud platforms (AWS/Azure/GCP) and Git-based workflows.</li><li>Strong problem-solving skills, curiosity to learn, and ability to work in a fast-paced environment.</li></ul><p>Good to Have (Preferred)</p><ul><li>Experience with LLMs, OpenAI/Anthropic/Bedrock APIs, Lang Chain, or RAG pipelines.</li><li>Exposure to NLP (text classification, summarization, chatbots) or computer vision (image classification, detection).</li><li>Familiarity with Docker, REST APIs, and basic MLOps tools (MLflow, Weights &amp; Biases, or similar).</li><li>Experience working with SQL/NoSQL databases and data pipelines.</li></ul><p>What We Offer</p><ul><li>Opportunity to work on cutting-edge GenAI and enterprise AI projects for global clients.</li><li>Mentorship from senior architects in AI, data, and cloud.</li><li>Competitive salary, performance-based incentives, and fast growth for high performers.</li><li>Collaborative, learning-focused culture with exposure to AWS, GCP, and Azure projects.</li><li>On-Site client exposure for requirement and implementation at Site premises.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹300,000.00 - ₹800,000.00 per year</p><p>Work Location: In person</p>

Bootcoding

<p><b>Hiring : AI Engineer (0&ndash;3 Years Experience)</b></p><p>We are hiring a AI Engineer with up to 3 years of experience who is ready to work on real-world projects and grow in a professional environment.</p><p>Important &ndash; Mandatory AI Interview (Read Carefully)</p><p><b>This hiring process begins with an AI-based interview.</b></p><p>✔ The first round is conducted by AI</p><p>✔ Candidates must take the AI interview immediately after applying</p><p>✔ Only candidates who clear the AI interview will be shortlisted</p><p>✔ Job offers will be made only after successfully clearing all stages</p><p>Please apply only if you are fully comfortable taking an AI interview as the first step.</p><p>Education Criteria (Mandatory)</p><p>✔ <b>Only candidates with an Engineering (BE / BTech) or MCA background are eligible</b><br/>✔ Candidates from other educational backgrounds will <b>not</b> be considered</p><p>Apply &amp; Start Your Interview</p><p><b>Interview Link:</b></p><p>https://interview.aceint.ai/bootcoding/job/AE-7567</p><p>Job Types: Full-time, Fresher</p><p>Pay: ₹20,000.00 - ₹40,000.00 per month</p><p>Work Location: In person</p>

Newpage Digital Healthcare solutions

Seeking a senior Lead AI Engineer to design and deliver generative and agentic AI systems end to end, from models to scalable backends, setting quality standards and owning execution.
<br>Benefits
<br><br>
Flexible and remote work
<br><br>
Employee-centric culture
<br><br>
Supportive peers
<br><br>
Work-life balance
<br><br>
Generous earnings
<br><br>
Opportunities for growth
<br><br>
LEAD AI ENGINEER
<br><br>
<b>Location:</b> Bangalore, Hybrid | Type: Full-time
<br><br>
About Newpage Solutions
<br><br>
Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data driven technologies addressing real-world health challenges.
<br><br>
From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.
<br><br>
We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.
<br><br>
We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.
<br><br>
Your Mission
<br><br>
We’re seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation—from model selection and orchestration design to scalable backend implementation—while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.
<br><br>
What You’ll Do
<br>Develop AI Applications & Agentic Systems
<br><br>
Architect, build, and optimize production-grade Generative AI applications using
<br>Orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations
<br>Agentic AI frameworks (Agno, AutoGen, CrewAI etc.) Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques.
<br>Microservices and modular backends using Python or Javascript or Java aligned with domain driven design, SOLID principles, OOP, and clean architecture
<br>Databases including relational (PostgreSQL, MySQL), document (MongoDB, DocumentDB), Key-Value (Redis / DynamoDB), Graph (neo4j, Neptune, Janus Graph)
<br>Event driven systems using Kafka / MSK, SQS, etc.
<br>Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerization and orchestration with Docker / Kubernetes or serverless architecture
<br>Multi-modal workflows using text, image, voice and video
<br><b>Apply industry best engineering practices:</b> TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerization & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: Github Actions, Jenkins)
<br>Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost, latency.
<br>Fine-tune and train models for industry or domain specific use cases
<br><br>
AI Assisted Development, Context Engineering & Innovation
<br><br>
Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development)
<br>Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams.
<br>Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise)
<br>Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
<br>Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
<br>Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.
<br><br>
What You Bring
<br><br>
7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
<br>Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems
<br>A no-compromise attitude with engineering best practices such as clean code, TDD, containerization, security, CI/CD, scalability, performance and cost optimization
<br>Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents
<br>A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost
<br>Python or Javascript experience with strong grasp of OOP, SOLID principles, 12-factor application development and scalable microservice architecture.
<br>Proven track record developing and deploying GenAI/LLM-based systems in production.
<br>Advanced understanding of context engineering, prompt construction, optimization, and evaluation techniques.
<br>End-to-end implementation experience using vector databases and retrieval pipelines.
<br>Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
<br>Are obsessed with clean code, system scalability, and performance optimization.
<br>Can balance rapid prototyping with long-term maintainability.
<br>Excel at working independently while collaborating effectively across teams.
<br>Stay ahead of the curve on new AI models, frameworks, and best practices.
<br>Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
<br>Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline
<br><br>
Bonus Skills / Experience
<br><br>
Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker)
<br>Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam)
<br>Mobile and front-end web application development experience
<br><br>
What We Offer
<br>At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer:
<br><br>
A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
<br>Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
<br>Balance that lasts – We respect your time and support a healthy integration of work and life.
<br>Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
<br>Meaningful rewards – Competitive compensation that recognizes both contribution and potential.
<br><br>
Ready to Apply?
<br>Let’s build the future of health together. Apply below or reach out to Shilpa.shetty@newpage.io with any questions.
<br><br>
More about Newpage
<br><br>
Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
<br><br>
Newpage is recognized by ‘CIO’s Review’ as “Top 50 Promising Healthcare Solution Providers” and Great Place to Work Certified (GPTW) 2023 & 2024.

LEAD AI ENGINEER

Rapid7

<p></p><div><p><b>Staff AI Engineer - Data Science</b></p><p><b>
Experience: 8&ndash;13 years</b></p><p><b><br>
About the Team</b></p><p>
The AI Center of Excellence team includes Data Scientists and AI Engineers that work together to conduct research, build prototypes, design features and build production AI components and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. We partner closely with Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment, sharing knowledge, developing internal learning, and encouraging research publication. If you&rsquo;re passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.</p><p></p><p><br>
The technologies we use include:</p><p></p><ul>
<li><p>
Python for analysis and modeling, using numpy, pandas, and scientific computing libraries</p></li>
<li><p>
Jupyter notebooks (local &amp; remote)</p></li>
<li><p>
scikit-learn for machine learning</p></li>
<li><p>
Anomaly detection for large-scale unlabeled data analysis</p></li>
<li><p>
LLM/GenAI toolchains: HuggingFace, Transformers, LangChain, CrewAI, Agentic architectures</p></li>
<li><p>
AWS cloud ecosystem, especially SageMaker, Bedrock, Lambda, EKS, S3</p></li>
<li><p>
Agentic AI platforms &mdash; multi-agent orchestration, tool use, reasoning frameworks, LLMOps</p></li>
<li><p>
EKS for application deployment</p></li>
<li><p>
Terraform for infrastructure as code</p></li></ul><p></p><p><br>
About the Role<br>
Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand and evolve our growing AI and MLOps efforts. You should have a strong foundation in software engineering and applied R&amp;D in one of the key areas we focus on - traditional machine learning, neural networks, or generative AI. In this intersectional role, you will combine your expertise in AI/ML deployments, cloud systems and software engineering to enhance our product offerings and streamline our platform's functionalities.</p><p></p><p>
This role is ideal for someone who is:</p><ul>
<li><p>
deeply strong in data science,</p></li>
<li><p>
hands-on with AWS and ML/LLM infrastructure, and</p></li>
<li><p>
excited about agentic AI, autonomous workflows, tool-augmented LLM systems, and building the future of AI-driven security.</p></li></ul><p></p><p><br>
In this role, you will:</p><p></p><ul>
<li><p>
Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows</p></li>
<li><p>
Collaborate with data scientists to transform research into production-ready solutions&mdash;mentoring on both methods and execution</p></li>
<li><p>
Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems</p></li>
<li><p>
Design and optimize agentic architectures&mdash;tool-calling, decision-making, memory, orchestration, evaluation frameworks</p></li>
<li><p>
Partner with engineering teams to ship AI features, integrating models into high-scale systems</p></li>
<li><p>
Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services</p></li>
<li><p>
Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance</p></li>
<li><p>
Support development of AI security features, improving reasoning, context understanding, automation and analyst workflows</p></li>
<li><p>
Embrace agile development, iterative experimentation, and collaborative problem solving</p></li>
<li><p>
Mentor junior team members and uplift the technical bar for agentic AI and ML engineering</p></li></ul><p></p><p><br>
The skills you&rsquo;ll bring include:</p><h3 class="jobSectionHeader"><b>
Core</b></h3><ul>
<li><p>
8&ndash;12 years of experience as a Data Scientist, ML Engineer, or AI Engineer</p></li>
<li><p>
Strong end-to-end practical expertise in ML/AI/DS&mdash;able to explore, experiment, and deliver independently</p></li>
<li>
<p>Proficiency in:</p>
<ul>
<li><p>scikit-learn for classical ML</p></li>
<li><p>
PyTorch/TensorFlow/Keras for deep learning</p></li>
<li><p>
HuggingFace, LangChain, Transformers &mdash; especially for LLMs</p></li>
<li><p>
Pandas/NumPy for data preparation</p></li>
</ul>
</li><li><p>Clear intuition for what modeling approaches fit which type of problem</p></li>
<li><p>
Strong communication skills and the ability to present technical concepts to diverse audiences</p></li>
<li><p>
Proven ability to collaborate across engineering, data science, product, and security teams</p></li>
<li><p>
Experience mentoring and guiding junior data scientists</p></li>
</ul><h3 class="jobSectionHeader"><b>
Agentic AI &amp; LLM Expertise (Highly Preferred)</b></h3><ul>
<li><p>
Hands-on experience with agentic AI architectures (CrewAI, LangGraph, LangChain agents, tool-calling, function-chaining)</p></li>
<li><p>
Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems</p></li>
<li><p>
Understanding of prompt engineering, evaluation frameworks, LLM observability, and guardrails</p></li>
<li><p>
Experience working with AWS Bedrock, model selection, latency/cost trade-offs, and LLM deployment patterns</p></li>
</ul><h3 class="jobSectionHeader"><b>
AWS &amp; Cloud (Highly Preferred)</b></h3><ul>
<li>
<p>Strong experience in AWS ML ecosystem:</p>
<ul>
<li><p>SageMaker training &amp; inference</p></li>
<li><p>
Bedrock LLM integrations</p></li>
<li><p>
Lambda for serverless workflows</p></li>
<li><p>
EKS for containerized deployments</p></li>
<li><p>
S3, Glue, Athena, IAM best practices</p></li>
</ul>
</li><li><p>Experience with Terraform, IaC, and production deployment workflows</p></li>
</ul><p>
Experience with the following would be advantageous:</p><ul>
<li><p>
Experience in the security industry</p></li>
<li><p>
Deployment of AI and machine learning models</p></li>
<li><p>
Implementing model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning</p></li></ul><p></p><p><br>
We know that the best ideas and solutions come from multi-dimensional teams. That&rsquo;s because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don&rsquo;t be shy - apply today.<br>
<br>
About Rapid7</p><p>
At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what&rsquo;s possible and drive extraordinary impact.</p><p></p><p>
Here, we&rsquo;re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever&rsquo;s next.</p><p></p><p>
Join us and bring your unique experiences and perspectives to tackle some of the world&rsquo;s biggest security challenges.</p><p></p><h2 class="jobSectionHeader"><b><br>
About Rapid7</b></h2><p>
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what&rsquo;s possible and drive extraordinary impact. We&rsquo;re building a dynamic and collaborative workplace where new ideas are welcome.</p><p></p><p>
Protecting 11,000+ customers against bad actors and threats means we&rsquo;re continuing to push the envelope just like we&rsquo; ve been doing for the past 20 years. If you &rsquo;re ready to solve some of the toughest challenges in cybersecurity, we&rsquo;re ready to help you take command of your career. Join us.</p></div>

Staff AI Engineer

<div>Overview:
<div><b>
WHAT YOU DO AT AMD CHANGES EVERYTHING</b></div><div>
At AMD, our mission is to build great products that accelerate next-generation computing experiences&mdash;from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you&rsquo;ll discover the real differentiator is our culture. We push the limits of innovation to solve the world&rsquo;s most important challenges&mdash;striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. <b>Together, we advance your career.</b></div>
Responsibilities:
<div><b>
LEAD AI Engineer</b></div><div></div><div><b><br>
Overview</b></div><div></div><div><b><br>
WHAT YOU DO AT AMD CHANGES EVERYTHING</b></div><div>
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences &ndash; the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world&rsquo;s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.</div><div>
AMD together we advance_</div><div></div><div><b><br>
Responsibilities</b></div><div></div><div><b><br>
THE ROLE:</b></div><div></div><div><br>
We&rsquo;re looking for a <b>Lead AI Engineer</b> with a passion for building next-generation <b>Agentic AI and LLM-based applications</b> that transform enterprise workflows. This role combines deep software engineering expertise with cutting-edge AI innovation &mdash; ideal for someone who thrives in 0 1 environments and enjoys turning experimental AI capabilities into production-grade, scalable systems.</div><div><br>
You&rsquo;ll work hands-on building production-ready and cloud-native AI solutions while shaping the engineering standards for applied AI at enterprise scale. This position offers the opportunity to work on complex projects, applying advanced technical expertise to solve challenging problems and deliver measurable results.</div><div></div><div><b><br>
THE PERSON:</b></div><div></div><div><br>
This AMD team is looking for a passionate individual who can help support the team initiatives, excellent team player, has experience collaborating with people across different time zones, and is willing to jump in to help resolve issues quickly. You will be involved in all areas that impact the team, including performance, automation, and development. The ideal candidate possesses strong analytical, problem-solving, and consulting skills.</div><div></div><div><b><br>
KEY RESPONSIBILITIES:</b></div><div></div><div><b><br>
AI and Machine Learning Execution</b></div><ul><li>
Architect and deliver end-to-end AI solutions, from model design and RAG pipelines to scalable APIs and microservices.</li><li>
Build and deploy agentic AI systems that enable autonomous task orchestration and reasoning.</li><li>
Lead efforts to operationalize LLMs, including safety guardrails, evaluation pipelines, and performance monitoring.</li><li>
Employ advanced AI methodologies, including transformers, LLMs, and GANs, to address business requirements.</li><li>
Design batch and real-time pipelines to integrate AI-driven predictions into operational systems.</li></ul><div></div><div><b><br>
Project Delivery</b></div><ul><li>
Adapt to project requirements by serving as a Data Scientist and/or ML Engineer, leveraging expertise across disciplines.</li><li>
Lead the end-to-end execution AI initiatives, ensuring alignment with project goals, timelines, and quality standards.</li><li>
Continuously optimize workflows to improve performance, scalability, and operational efficiency.</li></ul><div></div><div><b><br>
Collaboration and Innovation</b></div><ul><li>
Engage with stakeholders to understand business objectives and translate them into technical solutions.</li><li>
Contribute to cross-functional team discussions, sharing expertise and best practices in data and AI.</li><li>
Stay current with advancements in tools, methodologies, and technologies, applying innovations to improve project outcomes.</li><li>
Team player and self-starter</li></ul><div></div><div><b><br>
PREFERRED EXPERIENCE:</b></div><ul><li>
Experience in Software/ML engineering with deep expertise in Python and building production-grade ML/AI systems</li><li>
Strong foundation in LLM operations &mdash; prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and Multi-Agent AI apps.</li><li>
Hands-on experience with frameworks like LangChain, LlamaIndex, Hugging Face, or similar orchestration tools.</li><li>
Proven ability to design and deploy on Azure Cloud (experience with AWS or GCP also valuable).</li><li>
Solid understanding of DevOps principles &mdash; CI/CD, containerization (Docker), and GitOps workflows.</li><li>
Experience delivering reliable, well-tested, and maintainable code in agile environments.</li><li>
Proven track record of building real-time pipelines and integrating AI solutions into business systems.</li><li>
Experience in semiconductor manufacturing and/or high-volume manufacturing</li></ul><p></p><p><br>
#LI-SK3</p><div></div><div><b><br>
ACADEMIC CREDENTIALS:</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s with 5+ years of directly relevant experience in Electrical Engineering, Computer Science, or Data Science a closely related field</li></ul><div></div><div><br>
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also be eligible for competitive benefits described in more detail here.</div><br>
<div></div>
Qualifications:
<div><i>
Benefits offered are described: </i>AMD benefits at a glance.</div><div></div><div><i><br>
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants&rsquo; needs under the respective laws throughout all stages of the recruitment and selection process.</i></div></div>

Lead AI Engineer

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.<br>
</p><p>Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 22 sequential quarters of growth with $406.2M in Q2 FY26 revenue, up 4.2% Q-o-Q and 17.6% Y-o-Y growth. Our 26,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the &ldquo;Brand Finance India 100&rdquo; 2025 report. We were also cited as a Leader in the ISG Provider Lens&trade; 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix&reg; Assessment 2025</p>
<p><b>About Position:</b></p><br>
<p></p><p>We are seeking for GenAI Engineer with hands-on experience in GenAI, Python LLM etc.,<br>
</p><ul><li><b>Role: </b><b>Gen AI Engineer
</b></li><li><b>Location: Pune/Bangalore</b></li>
<li><b>Experience: 4-6 Years</b></li>
<li><b>Job Type: Full Time Employment</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<ul><li>Manage full lifecycle of AI/ML and GenAI projects &mdash; from planning to deployment.</li>
<li>Collaborate with cross-functional teams to define scope, milestones, and deliverables.</li>
<li>Oversee sprint planning, progress tracking, and risk management.</li>
 <li>Ensure quality, scalability, and business alignment of AI solutions.</li>
<li>Communicate project updates to stakeholders and leadership.</li></ul><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p><ul><li>Proven experience in developing AI solutions and applications.</li>
<li>Strong programming skills in languages such as Python</li>
<li>Solid understanding of machine learning algorithms and techniques</li>
<li>Experience in GPT-4, Lang Chain, RAG and Fine tuning LLMs.</li>
<li>Experience in deploying AI models in Docker &amp; Kubernetes.</li>
<li>Experience in creating pipelines with Airflow.</li>
<li>Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.</li>
<li>Familiarity with natural language processing (NLP) and computer vision techniques.</li>
<li>Knowledge of cloud platforms and services for AI development and deployment (Azure) is plus.</li>
<li>Strong problem-solving and analytical thinking abilities</li>
<li>Excellent communication and collaboration skills</li>
<li>Ability to work effectively in a fast-paced and dynamic team environment.</li>
<li>Passion for staying up to date with the latest advancements in AI and Gen AI technologies</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let&rsquo;s unleash your full potential at Persistent</b></p><br>
<p></p>
<p><b><i>&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;</i></b></p><br>
<p></p>
</div></div></div></div><div></div><div><div><div><p><b>
1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Python,LLM,TensorFlow</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Pune / Bengaluru</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Python,LLM,TensorFlow,Other,Prompt engineering,Systems,Tasks,product,PyTorch,Transformers</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>4 to 6 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>157424</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

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