ai solutions engineer

ButterflyMX

<div><h3 class="jobSectionHeader"><b>Our Mission:</b></h3><p><i>
ButterflyMX is on a mission to empower people to open and manage doors &amp; gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction.</i></p><h3 class="jobSectionHeader"><b>
Our Solution:</b></h3><p><i>
Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to e</i>nter the building.</p><h3 class="jobSectionHeader"><b>
Our Culture &amp; Values:</b></h3><p><i>
Fantastic people are the key to our success. As a distributed, primarily remote workforce, we&rsquo;re looking for more intelligent, passionate, collaborative, ai-forward, and down-to-earth individuals to join our growing team. We&rsquo;re driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious.</i></p><p></p><h3 class="jobSectionHeader"><b>
Role Overview:</b></h3><p>
This is a rare opportunity to make a direct impact on a top-priority initiative from day one. Turning executive vision into tangible AI solutions, shaping how our business works, and helping every team operate faster and smarter by developing and deploying AI tools and agents, and drive enthusiastic adoption across the org.
</p><p>As an AI Solutions Engineer at ButterflyMX, you&rsquo;ll bring cutting-edge AI tools into the daily operations of a fast-growing SaaS company. You&rsquo;ll design, build, and deliver pragmatic AI solutions that save time, reduce friction, and improve decision-making for our teams. You&rsquo;ll act as a hands-on builder and problem-solver focused on turning ideas into working prototypes and scaling those prototypes into production-ready tools that deliver measurable business value. This role reports to the AI Solutions Lead and is eligible for fully remote work (inside the continental US).</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><ul>
<li>Rapidly prototype, test, and deploy AI-powered tools such as copilots, automations, knowledge assistants, and agents.</li>
<li>Implement RAG pipelines, prompt engineering, and orchestration frameworks (LangChain, LlamaIndex, etc.).</li>
<li>Partner with business teams to understand workflows and identify opportunities for AI acceleration.<br>
Work closely with data, engineering, and security teams to ensure reliability, scalability, and compliance of deployed solutions.</li>
<li>Maintain and contribute to a backlog of AI initiatives, prioritizing those with clear business impact.</li>
<li>Monitor performance and adoption, track KPIs, and iterate on solutions to maximize effectiveness.</li>
<li>Contribute to internal documentation, demos, and training to help colleagues become fluent AI users.</li>
<li>Provide technical support during workshops, office hours, and stakeholder pilots.</li>
<li>Evaluate emerging AI platforms, frameworks, and APIs with a pragmatic lens for business value.</li>
Share insights with the team and contribute to scaling best practices into playbooks and repeatable patterns.<br>
<li>
</li></ul><h3 class="jobSectionHeader"><b>Requirements:
</b></h3><ul><li>Strong hands-on experience as a technical IC (e.g., software engineering, ML, data engineering, or automation).</li>
<li>Proficiency with modern AI tooling (OpenAI, Claude, LangChain, Hugging Face, vector DBs, agents, RAG pipelines).</li>
<li>Demonstrated ability to scope, build, and deliver working solutions from idea to impact.</li>
<li>Solid understanding of APIs, data pipelines, and software deployment practices.</li>
<li>Excellent problem-solving and communication skills. You can explain technical concepts clearly and engage with non-technical stakeholders.</li>
<li>Experience with cloud platforms (AWS, GCP, Azure) and containerized deployments (preferred).<br>
Previous work on copilots, chatbots, or workflow automation tools (preferred).</li>
<li>Strong product sense, you can see through the hype to spot practical, high-leverage use cases (preferred).</li>
</ul><p></p><p><b>Benefits</b></p><p></p><ul>
<li>Comprehensive Medical (ButterflyMX covers 90% of the cost), Dental, and Vision plans (ButterflyMX covers 100% of the cost) starting day 1</li>
<li>401(k) plan with a match</li>
<li>13 paid holidays and 25 days PTO</li>
<li>Paid Family Leave</li>
<li>Employee Assistance Program</li>
<li>Quarterly self-care stipends</li>
<li>HealthAdvocacy Program</li>
<li>Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&amp;D, Hospital Indemnity, Disability, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance</li>
<li>Collaborative, dynamic work environment filled with kind, smart people, who are working hard on an industry-defining product</li>
</ul><p></p><p><i>ButterflyMX is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. You must have the authorization to work in the US to become an employee. We strive to create an accessible and inclusive experience for all candidates and employees. If you need reasonable accommodations during the application or the recruiting process, please let our recruiting team know.</i></p></div><p></p>

AI Solutions Engineer

Kalasko

<p></p><div><p><b>AI Solutions Engineer (Internal Automations &amp; AI Agents)</b></p><p></p><p><b><br>
What you&rsquo;ll do (outcomes)</b></p>
<ul>
<li><b>Ship working systems</b>: Design, build, and maintain small-to-medium services, scripts, and workflows that solve concrete team needs with clear SLAs.</li>
<li><b>Automate everything</b>: Orchestrate cross&#8209;app workflows (n8n/Make/Zapier/Custom) across CRM, sheets, Meta/Instagram APIs, email, SMS/WhatsApp, Slack, and web backends.</li>
<li><b>Agentic apps</b>: Build LangChain/LangGraph-based agents and tools for data enrichment, routing, triage, and outreach, implementing evaluation, guardrails, retries, and cost controls.</li>
<li><b>Scrape&mdash;responsibly</b>: Use headless browsers and official APIs to extract data, respecting ToS/robots/legal; implement rotating proxies, backoff, and anti&#8209;bot patterns when appropriate.</li>
<li><b>Connect data</b>: Stand up light ETL/ELT to Postgres/BigQuery; build RAG/search over internal docs and metadata; keep data fresh and observable.</li>
<li><b>Reliability &amp; telemetry</b>: Add logging, metrics, alerts, and dashboards; own on&#8209;call for the automations you ship (during business hours).</li>
<li><b>Documentation &amp; handoff</b>: Write runbooks, diagrams, and clear READMEs so others can extend what you build.</li><br>
</ul>
<p><b>Sample projects you might own</b></p>
<ul>
<li><b>Instagram lead intake </b><b> compliant DM triage</b>: Pull creator profiles, enrich, score, then route to a Messenger/IG inbox with auto&#8209;replies and human&#8209;handoff. Track deliverability and outcomes.</li>
<li><b>AI outreach bot</b>: Given a segment, generate personalized first&#8209;touch + follow&#8209;ups, dedupe against CRM, schedule messages, and log replies; A/B evaluate prompts and templates.</li>
<li><b>Scrape </b><b> Clean </b><b> Sync</b>: Headless browser job (Playwright) to capture public business data, normalize, and sync to Postgres/Sheets with change detection and alerts.</li>
<li><b>RAG for Sales/Success</b>: Vectorize pitch docs, briefs, and prior wins; build a chat tool that drafts proposals and answers objections with citations.</li><br>
</ul>
<p><b>Our stack &amp; tools (you don&rsquo;t need all, but you&rsquo;ve used many)</b></p>
<ul>
<li><b>Languages &amp; runtimes</b>: Python, TypeScript/Node.js, SQL.</li>
<li><b>LLM &amp; agents</b>: LangChain, LangGraph, OpenAI/Anthropic APIs, function/tool use, RAG (FAISS/Pinecone/Weaviate), LlamaIndex (nice&#8209;to&#8209;have).</li>
<li><b>Automation/orchestration</b>: n8n (self&#8209;hosted), Make (formerly Integromat), Zapier, serverless cron/queues (BullMQ/Celery), Prefect/Airflow (for heavier jobs).</li>
<li><b>Web &amp; scraping</b>: Playwright/Puppeteer, Requests/BS4, Apify; rotating proxies; captcha solving vendors (only when compliant).</li>
<li><b>APIs &amp; channels</b>: Meta Graph + Messenger API for Instagram, WhatsApp Business API, SendGrid/Resend, Slack, Telegram, Twilio.</li>
<li><b>Data &amp; storage</b>: Postgres/BigQuery, Redis, S3/Cloud Storage, Elastic/OpenSearch; vector DBs (Pinecone/Weaviate/pgvector).</li>
<li><b>Infra &amp; DevEx</b>: Docker, GitHub Actions, Vercel/Fly.io/Cloud Run, Terraform (nice&#8209;to&#8209;have), Sentry/Prometheus/Grafana, Feature flags.</li>
</ul>
<p><b>What success looks like (90 days)</b></p>
<ul>
<li>You&rsquo;ve shipped <b>3&ndash;5 production workflows/tools</b> that teams use weekly.</li>
<li><b>Lead time</b> from idea  pilot  <b>7 days</b> for small asks;  <b>21 days</b> for medium projects.</li>
<li><b>Telemetry</b> in place: logs, metrics, alerts, and dashboards for every workflow.</li>
<li>Documented <b>SOPs</b> enable others to run/extend your work.</li>
</ul>
<p><b>Must&#8209;have qualifications</b></p>
<ul>
<li>4&ndash;7+ years building production automations, internal tools, or platform glue (startups or product teams).</li>
<li>Strong <b>Python</b> and <b>TypeScript/Node</b>; you can ship a CLI today and a small service tomorrow.</li>
<li>Real experience with <b>LLM apps</b> (tool use/function calling, evals, prompt versioning, cost/perf tuning).</li>
<li>Confident with <b>APIs/webhooks</b>, auth (OAuth), rate&#8209;limits, pagination, retries, and idempotency.</li>
<li>Hands&#8209;on with <b>headless browsers</b> and public&#8209;data scraping patterns; pragmatic about ToS/legal.</li>
<li>Comfortable with <b>databases &amp; SQL</b>, queues, and basic cloud deploys; you instrument what you ship.</li>
<li>Excellent <b>product sense</b> and communication; you clarify the job to be done and bias to action.</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>WhatsApp Business API, Meta Graph (IG), Slack/Telegram bots.</li>
<li>Vector search/RAG in production; knowledge graphs (Neo4j).</li>
<li>Data plumbing: Airbyte/dbt/Great Expectations.</li>
</ul>
<p><b>How we work</b></p>
<ul>
<li>Small, senior team; async&#8209;first with crisp specs, quick demos, and written docs.</li>
<li>We value <b>ownership, clarity, and speed</b>. If it&rsquo;s blocked, you propose a path and ship.</li>
<li>We optimize for <b>business impact</b> over model elegance.</li></ul></div><p></p>

Zapnix

<p>Role : Generative AI Engineer</p><p>Location : Houston, TX ( Hybrid , 3 days onsite )</p><p>Job description:</p><p>We are seeking a highly skilled <b>Applied AI Engineer</b> to join our Data &amp; AI team. This role is ideal for an engineer with deep expertise in Generative AI (GenAI) technologies and a proven track record of delivering production-grade AI solutions. The Applied AI Engineer will design, build, and scale GenAI applications, while also contributing to enterprise standards, reusable frameworks, and the overall maturity of our AI engineering practices.</p><p>This position requires someone who can balance <b>hands-on solution delivery</b> with <b>technical leadership in design, integration, and optimization</b>, ensuring our AI initiatives deliver measurable business impact.</p><p><b>Key Responsibilities</b></p><p><b>Solution Engineering &amp; Delivery</b></p><ul><li>Translate business requirements into <b>robust, scalable AI solutions</b> using RAG, embeddings, vector search, and fine-tuning.</li><li>Design, prototype, and implement <b>LLM-driven applications</b> with multi-step agent workflows and orchestration frameworks (e.g., LangGraph, LangChain, LlamaIndex).</li><li>Build and maintain <b>APIs, services, and reusable components</b> in Python to support AI applications.</li><li>Deploy and monitor AI models in <b>cloud-native environments</b> (GCP, Azure) leveraging Kubernetes, serverless, and MLOps pipelines.</li><li>Continuously evaluate model/system performance and implement improvements.</li></ul><p><b>Architecture &amp; Standards</b></p><ul><li>Contribute to the <b>design of modular and reusable AI architectures</b> across projects.</li><li>Establish and follow <b>engineering best practices</b> for GenAI development, testing, deployment, and monitoring.</li><li>Support the creation of <b>documentation, templates, and playbooks</b> for consistent solution delivery.</li></ul><p><b>Collaboration &amp; Integration</b></p><ul><li>Partner with cross-functional teams to <b>integrate AI capabilities into enterprise applications</b>.</li><li>Work closely with business stakeholders to <b>translate challenges into AI-powered solutions</b>.</li><li>Share lessons learned and help drive adoption of AI practices across teams.</li><li>Ensure AI applications align with <b>security, compliance, and responsible AI standards</b>.</li></ul><p><b>Working Conditions</b></p><ul><li>Hybrid work model: Onsite in Houston office 3 days per week.</li><li>Open, collaborative team environment.</li></ul><p><b>Minimum Requirements</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, or related technical field.</li><li><b>5+ years of software development experience</b>, with strong proficiency in Python.</li><li><b>3&ndash;5+ years hands-on experience building GenAI/LLM-based applications</b>, with proven success from PoC to production deployment.</li><li>Proficiency in designing <b>retrieval pipelines</b> (document loaders, chunking strategies, embeddings, vector databases like FAISS, Pinecone, ChromaDB).</li><li>Expertise in <b>LLM APIs</b> (OpenAI, Claude, Gemini, etc.), prompt engineering, and fine-tuning.</li><li>Experience with <b>cloud platforms</b> (GCP, Azure), <b>containerization</b> (Docker, Kubernetes), and MLOps (CI/CD, monitoring).</li><li>Strong understanding of <b>API design, microservices, and enterprise integration patterns</b>.</li><li>Familiarity with version control systems (e.g., Git, Azure DevOps).</li><li>Demonstrated ability to build and scale AI solutions in production.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with <b>orchestration frameworks</b> (LangGraph, LangChain, LlamaIndex).</li><li>Familiarity with <b>DevOps practices</b> such as IaC (Terraform), YAML pipelines, and automation.</li><li>Strong communication skills with ability to <b>collaborate across teams</b> and articulate technical concepts clearly.</li><li>Proactive, self-motivated problem solver with a track record of delivering high-value solutions.</li><li>Leverage <b>vibe and agentic </b>coding tools such as Cursor, Claude Code, and similar frameworks to accelerate AI solution development and <b>orchestrate multi-agent workflows</b>.</li></ul><p><b>Additional Attributes</b></p><ul><li>Analytical mindset with focus on <b>measurable outcomes</b>.</li><li>Collaborative team player who thrives in cross-functional environments.</li><li>Curiosity and drive to stay current with <b>emerging GenAI technologies</b>.</li></ul><p>Job Type: Contract</p><p>Pay: From $58.00 per hour</p><p>Experience:</p><ul><li>Generative AI Engineer: 1 year (Required)</li><li>scalable AI solutions : 1 year (Required)</li><li>Python: 1 year (Required)</li><li>Google Cloud Platform: 1 year (Required)</li><li>Azure: 1 year (Required)</li><li>MLOps: 1 year (Required)</li><li>integrate AI : 1 year (Required)</li><li>GenAI/LLM-based applications: 1 year (Required)</li></ul><p>Location:</p><ul><li>Houston, TX 77002 (Required)</li></ul><p>Work Location: In person</p>

Senior AI Generative Engineering Lead

Lumos Learning

<p><b>Job Description &ndash; Process Engineer</b></p><p>At Lumos, we believe the next generation of talent isn&rsquo;t defined by rigid job titles but by the ability to solve problems wherever they arise.</p><p>We are hiring an AI Process Engineer , a cross-functional problem solver who can work with multiple teams to improve processes, drive innovation, and deploy AI-enabled solutions where they matter most.</p><p>This is not a traditional engineering or associate role. Instead, you will act as an internal consultant, builder, and strategist, helping Lumos move faster, smarter, and more efficiently. To learn more about us and our offerings, please visit.</p><p><b>Key Responsibilities</b></p><ul><li>Partner with Product, Marketing, Sales, and Operations teams to spot bottlenecks and improve processes.</li><li>Apply problem-solving and analytical skills to design solutions with measurable impact.</li><li>Explore and implement AI tools and automation workflows to boost productivity.</li><li>Act as a bridge between technical and non-technical teams to turn needs into solutions.</li></ul><p><b>Skills &amp; Qualifications</b></p><ul><li>Vibe coding experience.</li><li>Bachelor&rsquo;s degree in Engineering, Business, or related fields.</li><li>Strong analytical, logical reasoning, and problem-solving skills.</li><li>Familiarity with AI tools, automation platforms, or data visualization.</li><li>Excellent communication and collaboration skills to work with diverse teams.</li><li>Growth mindset: adaptable, curious, and eager to learn across domains.</li></ul><p><b>What we value </b></p><ul><li>Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools.</li><li>Solving real business problems, not academic benchmarks.</li><li>Ability to collaborate efficiently in teams of technical and non-technical individuals.</li><li>Comfort working in a dynamic environment with evolving objectives and direct iteration with users.</li></ul><p><b>Working Hours &amp; Compensation</b></p><ul><li>Timings: 10:00 AM to 7:00 PM</li></ul><ul><li>Stipend (Internship): &#8377;17,500/month for the first 2 months</li></ul><ul><li>Post-Internship CTC: &#8377;4 to &#8377;6 LPA based on performance and skills</li></ul><ul><li>Work Location : Bangalore</li></ul><p>Job Types: Full-time, Internship</p><p>Pay: &#8377;400,000.00 - &#8377;600,000.00 per year</p><p>Work Location: In person</p>

Process Engineer

Virtusa

<div><p>AIML<br>
We are hiring a Senior AIML Engineer specializing in Natural Language Processing (NLP) and<br>
Generative AI to join our high-impact AI Solutions team, focused on delivering advanced,<br>
production-grade AI solutions in the Electrification domain. In this role, you will work at the frontier<br>
of AI innovatiodesigning and developing RetrievalAugmented Generation (RAG) pipelines, finetuning<br>
LLMs, and building Agentic AI systems that are robust, scalable, and insightful.<br>
Responsibilities:<br>
Design, develop, and optimize NLPdriven AI solutions using state-of-the-art models and<br>
techniques (NER, embeddings, summarization, etc.).<br>
Build and productionize RAG pipelines and agentic workflows to support intelligent, contextaware<br>
applications.<br>
Finetune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for<br>
domainspecific use cases.<br>
Collaborate with data scientists, backend developers, and cloud architects to build scalable AIfirst<br>
systems.. Evaluate and integrate third-party models/APIs and open-source libraries for generative use<br>
cases.<br>
Continuously monitor and improve model performance, latency, and accuracy in production<br>
settings. Implement observability, performance monitoring, and explainability features in deployed<br>
models.<br>
Ensure solutions meet enterprise-level requirements for reliability, traceability, and<br>
maintainability.<br>
Required Qualifications:<br>
Master or Bachelor degree in Computer Science, Machine Learning, AI, or a related field.<br>
years of overall experience in AI/ML, with at least 2+ years in NLP and 12 years in Generative<br>
AI. Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and<br>
vector search.<br>
Experience in designing and deploying RAG pipelines and working with multi-step agent<br>
architectures.<br>
Proficiency in Python and frameworks like LangChain, Transformers (HuggingFace),<br>
LlamaIndex, SmolAgents, etc.<br>
Familiarity with ML observability and explainability tools (e.g., TruEra, Arize, WhyLabs).<br>
Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI<br>
Service, Azure ML Studio, and Azure AI Foundry.<br>
Preferred Qualifications:<br>
Experience in integrating LLM-based agents in production environments.<br>
Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn<br>
dialogues).<br>
Familiarity with LangGraph, function calling, and tools for orchestration in agent-based systems.<br>
Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus.<br>
<br>
Mandatory Skills<br>
<br>
Natural Language Processing (NLP)<br>
Generative AI<br>
RAG pipelines<br>
LLMs</p><div><p><b><br>
About Virtusa</b></p>
<p>
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

AIML

Intellect Design Arena Ltd

<div>
 <p>
  About the job
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Us:
  </strong>
 </p>
 <p>
  Intellect Design Arena Ltd is a global leader in enterprise-grade financial technology, delivering composable and intelligent solutions to forward-looking financial institutions across 61 countries. With three decades of domain expertise, our product suite spans Wholesale Banking, Consumer Banking, Central Banking, Wealth, Capital Markets, Treasury, Insurance and Digital Technology for Commerce. Applying First Principles Thinking and Design Thinking, we have elementalised the financial services landscape into a finite set of Events, Microservices, and APIs, enabling faster, modular transformation with measurable outcomes.
 </p>
 <p>
 </p>
 <p>
  At the heart of this are eMACH.ai, the world&rsquo;s most comprehensive, composable and intelligent open finance platform; Purple Fabric, the world&rsquo;s first Open Business Impact AI platform; and iTurmeric, our composable platform for seamless integration and configuration. We are a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world&rsquo;s first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 500+ customers worldwide, supported by a diverse workforce of solution architects, and domain and technology experts in major global financial hubs. For more information, visit
  <u>
   www.intellectdesign.com
  </u>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation.
 </p>
 <p>
  You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI.
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Deliver Production-Ready AI Solutions:
   </strong>
   Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications.
  </li>
  <li>
   <strong>
    Solve Real Business Problems:
   </strong>
   Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches.
  </li>
  <li>
   <strong>
    Collaborate Across Teams:
   </strong>
   Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution.
  </li>
  <li>
   <strong>
    Adapt in Dynamic Environments:
   </strong>
   Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback.
  </li>
  <li>
   <strong>
    Drive Innovation and Growth:
   </strong>
   Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field.
  </li>
  <li>
   <strong>
    Client Interaction and Strategy Development:
   </strong>
   Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions.
  </li>
  <li>
   <strong>
    Deploying Solutions to Production:
   </strong>
   Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems.
  </li>
  <li>
   <strong>
    Iterating and Improving:
   </strong>
   Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation.
  </li>
  <li>
   <strong>
    Contributing to Platform Evolution:
   </strong>
   Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs.
  </li>
 </ul>
 <p>
  <strong>
   Key Traits:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Technical Proficiency:
   </strong>
   Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments.
  </li>
  <li>
   <strong>
    Problem-Solver:
   </strong>
   Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes
  </li>
  <li>
   <strong>
    Collaborative:
   </strong>
   Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms.
  </li>
  <li>
   <strong>
    Adaptable:
   </strong>
   Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback.
  </li>
  <li>
   <strong>
    Innovative and Entrepreneurial:
   </strong>
   Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth.
  </li>
  <li>
   <strong>
    Client-Focused:
   </strong>
   Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives.
  </li>
  <li>
   <strong>
    Detail-Oriented:
   </strong>
   Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings.
  </li>
  <li>
   <strong>
    Continuous Learner:
   </strong>
   Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge.
  </li>
 </ul>
 <p>
  <strong>
   Skills and Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies.
  </li>
  <li>
   Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition.
  </li>
  <li>
   Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning.
  </li>
  <li>
   Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar.
  </li>
 </ul>
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  <strong>
   Experience : 6+ Years
  </strong>
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 <p>
  <br/>
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  This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful.
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</div>


Knowledge Engineer

Genpact

<p></p><div><div><div><div><div><b><i>Ready to build the future with AI?</i></b></div></div><div><div><i>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s </i><i>AI Gigafactory</i><i>, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to </i><i>agentic AI</i><i>, our breakthrough solutions tackle companies&rsquo; most complex challenges.</i></div></div><div><div><i>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</i></div></div><div><div><i>
Genpact (NYSE: G) is an</i><i> </i><i>advanced technology services and solutions company that delivers</i><i> </i><i>lasting</i><i> </i><i>value for leading enterprises</i><i> </i><i>globally.</i><i> </i><i>Through our</i><i> </i><i>deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead.</i><i> </i><i>Powered by curiosity, courage, and innovation</i><b><i>,</i></b><b><i> </i></b><i>our teams</i><i> </i><i>implement</i><b><i> </i></b><i>data, technology, and AI</i><i> </i><i>to</i><i> </i><i>create tomorrow, today.</i><i> </i><i>Get to know us at</i><i> </i><i>genpact.com</i><i> </i><i>and on</i><i> </i><i>LinkedIn</i><i>,</i><i> </i><i>X</i><i>,</i><i> </i><i>YouTube</i><i>, and</i><i> </i><i>Facebook</i><i>.</i></div></div><div><div>
Inviting applications for the role of <b>Senior Manager, Senior DevOps Engineer- Agentic AI!</b></div></div><div><div>
In this role, you'll be part of Genpact's transformation under GenpactNext, as we lead the shift to Agentic AI Solutions&mdash;domain-specific, autonomous systems that redefine how we deliver value to clients. You'll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines.</div></div><div><div>
Responsibilities</div></div><div><ul><div><div>
Plan, implement, and maintain the software development infrastructure on Azure</div></div></ul></div><div><ul><div><div>
Proficiency in programming, Cloud platforms, IaC, Terraform, Asible etc. , CICD pipelines, Version Control, AIOps, Microservice Architecture Problem solving, Agile and lean mindset</div></div></ul></div><div><ul><div><div>
Introduce and oversee software development automation over the cloud</div></div></ul></div><div><ul><div><div>
Manage and monitor continuous integration and delivery pipelines</div></div></ul></div><div><ul><div><div>
Work closely with the software development team to ensure timely and successful delivery of new software releases</div></div></ul></div><div><ul><div><div>
Keep up with the latest industry trends and best practices</div></div></ul></div><div><ul><div><div>
Help create and maintain internal documentation</div></div></ul></div><div><ul><div><div>
Provision and manage infrastructure, ensuring scalability, reliability, and security</div></div></ul></div><div></div><div><div><br>
Qualifications we seek in you!</div></div><div><div>
Minimum Qualifications</div></div><div><ul><div><div>
Hands-on experience as a Cloud DevOps/Platform Engineer.</div></div></ul></div><div><ul><div><div>
Strong background in Azure CI/CD pipelines (YAML/Classic), build, source control, and other development-related tools.</div></div></ul></div></div><div><div><ul><div><div>
Proficiency in container frameworks like Docker and Kubernetes.</div></div></ul></div><div><ul><div><div>
Expertise in infrastructure automation toolsets like Terraform, Ansible, Azure CLI, etc.</div></div></ul></div><div><ul><div><div>
Solid understanding of Windows and Linux-based operating systems.</div></div></ul></div><div><ul><div><div>
Proficient coding and scripting capabilities in multiple languages and automation frameworks like C#, PowerShell, Java, SQL Server, NoSQL, and MySQL.</div></div></ul></div><div><ul><div><div>
Experience with system observability tools for logging, tracing, and monitoring such as Grafana, Prometheus, AppDynamics, etc.</div></div></ul></div><div><ul><div><div>
Understanding of security best practices and networking technologies and protocols.</div></div></ul></div><div></div><div><div><br>
Preferred Qualifications/ Skills</div></div><div><ul><div><div>
Bachelor&rsquo;s degree in computer science or a related field.</div></div></ul></div><div><ul><div><div>
Advanced certifications in Azure or DevOps.</div></div></ul></div><div><ul><div><div>
Familiarity with multiple Agile frameworks (e.g., Scrum, Kanban, SAFe).</div></div></ul></div><div><ul><div><div>
Strong team player with excellent communication and interpersonal skills.</div></div></ul></div><div><ul><div><div>
Independent individual with a high sense of ownership and self-learning abilities.</div></div></ul></div><div><ul><div><div>
High level of English (Spoken &amp; Written).</div></div></ul></div><div><ul><div><div>
Ability to work in a fast-paced environment and handle multiple projects simultaneously.</div></div></ul></div><div><ul><div><div>
Can-do attitude.</div></div></ul></div><div></div><div><div><b><i><br>
Why join Genpact?</i></b></div></div><div><ul><div><div><b><i>
Lead AI-first transformation</i></b><i> &ndash; Build and scale AI solutions that redefine industries</i></div></div></ul></div></div><div><div><ul><div><div><b><i>
Make an impact</i></b><i> &ndash; Drive change for global enterprises and solve business challenges that matter</i></div></div></ul></div><div><ul><div><div><b><i>
Accelerate your career</i></b><i>&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</i></div></div></ul></div><div><ul><div><div><b><i>
Grow with the best</i></b><i> &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</i></div></div></ul></div><div><ul><div><div><b><i>
Committed to ethical AI</i></b><i> &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</i></div></div></ul></div><div><ul><div><div><b><i>
Thrive in a values-driven culture</i></b><i> &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</i></div></div></ul></div><div><div><i>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.</i></div></div><div><div><i>
Let&rsquo;s build tomorrow together.</i></div></div><div></div><div><div><i><br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, </i><i>color</i><i>, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.</i><br>
<i>Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</i></div></div></div></div><p></p><p><b><i><br>
Job</i></b><i>Senior Manager</i></p><p><b><i>
Primary Location</i></b><i>India-Gurugram</i></p><p><b><i>
Schedule</i></b><i>Full-time</i></p><p><b><i>
Education Level</i></b><i>Master's / Equivalent</i></p><p><b><i>
Job Posting</i></b><i>Sep 2, 2025, 11:38:57 PM</i></p><p><b><i>
Unposting Date</i></b><i>Oct 3, 2025, 1:29:00 PM</i></p><p><i>
Master Skills List</i><i>Digital</i></p><p><i>
Job Category</i><i>Full Time</i></p></div>

Senior Manager, Senior DevOps Engineer- Agentic AI!

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