Why we're hiring:

WPP is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.

You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally

You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.

The AOC is chartered to develop and delivery automation products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.

Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.

What you'll be doing:

Automation Engineering Lead (Engineering Excellence + AI-Driven Automation) 

We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks. 

This is not a single-stack or platform-specific role. 

You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities. 

You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready. 

 What You’ll Be Doing 

Solution Architecture & Technology Decisioning 

• Own end-to-end architecture for automation use cases across the enterprise  

• Evaluate and recommend the right approach across:  

• Cloud-native engineering (microservices, serverless, container platforms)  

• Custom engineering (APIs, backend services, UI frameworks)  

• AI-augmented automation combining ML services, LLMs, and intelligent workflows  

• Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability  

• Act as a key decision-maker on the right technology stream and tooling for each engineering problem  

• Knowledge in Power Platform (Power Apps, Power Automate, Dataverse) 

 Architectural Governance 

• Define and enforce global architecture standards, design patterns, and best practices  

• Establish reusable engineering frameworks and AI-driven automation accelerators across teams  

• Ensure consistency, scalability, and maintainability across implementations  

 Technical Leadership 

• Lead and mentor a team of 6–10 engineers  

• Provide hands-on guidance, solution reviews, and architectural oversight  

• Drive engineering excellence and a culture of continuous improvement  

 Advanced & Hybrid Development 

• Lead complex implementations involving:  

• Custom connectors and API integrations  

• AI/ML model integration and intelligent automation patterns  

• Backend services (.NET / Java / Node.js / Python) where required  

• Handle research spikes and evaluate new tools, frameworks, and capabilities  

 Integration & Data Architecture 

• Design robust integration solutions using:  

• REST APIs, webhooks, and service-based architectures  

• Event-driven and asynchronous processing patterns  

• Work with structured and unstructured data across:  

• Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)  

• SQL / external data systems  

• Dataverse 

• Optimize performance, scalability, and reliability of automation workflows  

 ALM & DevOps Strategy 

• Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization  

• Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar  

• Drive adoption of code-first, version-controlled, and AI-assisted development practices  

 Stakeholder Collaboration 

• Partner with business and leadership teams to translate requirements into scalable technical solutions  

• Align architecture decisions with business goals, timelines, and budgets  

• Communicate complex technical concepts to both technical and non-technical stakeholders  

 Security, Compliance & Supportability 

• Ensure solutions comply with enterprise security, governance, and data protection policies  

• Design solutions for operational readiness, observability, and smooth handover to support teams  

 What You’ll Need 

Experience 

• 12+ years in software engineering, solution architecture, or enterprise application development  

• Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering  

• Knowledge in Power platform or Dynamics 365 ecosystem 

 Engineering Process & AI-Automation Expertise 

• Deep expertise in:  

• End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale  

• Deployment and technical architecture across cloud and hybrid environments  

• Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)  

• Experience with:  

• Engineering AI workstreams (LLMs, agentic systems, intelligent automation)  

• Applying AI in automation (code generation, automated testing, intelligent code review, copilots)  

• Ability to drive engineering excellence and modernize platforms using AI-augmented approaches  

 Architecture & Engineering Breadth (Critical) 

• Strong experience with API design and REST-based integrations  

• Solid understanding of SQL, data modeling, and performance optimization  

• Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)  

• Exposure to modern frontend frameworks (React or similar)  

• Understanding of:  

• Microservices and distributed systems  

• Event-driven architecture (queues, messaging, pub/sub)  

• Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices  

 DevOps & ALM 

• Experience with CI/CD pipelines and automated deployments  

• Familiarity with Azure DevOps, GitHub Actions, or similar tools  

• Strong understanding of environment strategy, solution segmentation, and release management  

 Leadership & Problem Solving 

• Proven ability to lead and mentor engineering teams  

• Strong architectural thinking and decision-making skills  

• Ability to solve complex, ambiguous technical challenges  

• Excellent communication and stakeholder management skills  

 Nice to Have 

• Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)  

• Knowledge of enterprise integration patterns and iPaaS platforms  

• Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows  

 Certifications 

• Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#onsite

Senior Software Software Engineer – (Full Stack):

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

A day in the life (Responsibilities)

• Independently design and implement well-defined features across the full stack with minimal day-to-day guidance.
• Collaborate with Product Managers, UX designers, QA, and fellow engineers to translate requirements into working software.
• Develop and maintain frontend features using React or Angular, focusing on usability and performance.
• Contribute to backend services using Java, Kotlin, or .NET (expertise in one is sufficient; .NET is not mandatory).
• Build and consume RESTful APIs and integrate with internal systems.
• Write clean, maintainable, and testable code aligned with Toast engineering standards.
• Participate actively in code reviews—both receiving and providing constructive feedback.
• Troubleshoot production and non-production issues within owned areas and contribute to root-cause analysis.
• Use Gradle or Maven, Git, and standard development workflows effectively.
• Apply AI-assisted development tools (e.g., Claude Code, Cursor, Devin) to improve development speed and quality.
• Support team delivery during critical phases when needed, including production issues and urgent fixes.
• Consistently delivers on commitments with predictable cycle time for scoped work.
• Demonstrates ownership of components or features but does not yet own large systems end-to-end.
• Understands and follows established architectural patterns and engineering best practices.
• Proactively communicates progress, risks, and dependencies.
• Seeks feedback and continuously improves technical depth and execution quality.

What you'll need to thrive (Requirements):

• A minimum of Bachelor’s degree in any area, or any other related discipline.
• 6+ years of experience in software or full-stack development.
• Strong hands-on experience with frontend frameworks such as React or Angular.
• Solid backend development experience in Java, Kotlin, or .NET.
• Experience building and consuming RESTful APIs.
• Proficiency with Git and modern branching workflows.
• Working knowledge of SQL and NoSQL databases, including basic schema design and querying.
• Experience with cloud platforms, preferably AWS.
• Familiarity with Gradle or Maven for build and dependency management.
• Experience working in Agile/Scrum teams.
• Strong problem-solving skills and attention to code quality.
• Effective written and verbal communication skills.

Nice-to-Have 

• Exposure to AI-assisted development tools (Claude Code, Cursor, Devin).
• Basic understanding of CI/CD pipelines and deployment workflows.
• Experience working in a large-scale SaaS or product engineering environment.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Us (Ensono) 

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago. 

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning. 

Role Summary

The L3 ARO Engineer ensures end-to-end reliability, resilience, and performance of critical applications. This role acts as the final technical escalation point, leads major incidents, performs deep diagnostics (especially for Java and .Net based systems), drives permanent fixes, and influences architecture, automation, and operational standards. The engineer mentors L1/L2 teams and partners closely with Development, Architecture, Platform, and Security.

Key Responsibilities

Incident & Problem Management

• Lead major incident (MI) bridges and restore service with minimum business impact.
• Handle all L3 escalations, perform deep diagnostics across Java, JVM, middleware, OS, and infra.
• Own technical RCAs, drive long‑term and systemic remediation.
• Identify recurring failure patterns and risks.

Reliability Engineering

• Apply SRE principles: SLIs/SLOs, error budgets, resilience patterns.
• Tune JVM parameters, analyze thread/heap dumps, and improve performance.
• Influence application architecture for fault tolerance, scalability, and recoverability.
• Validate DR readiness, failover behavior, and resilience testing outcomes.

Change, Release & Risk

• Provide technical approval and risk assessment for high-risk changes.
• Enforce operational readiness for new apps and major releases.
• Ensure changes meet audit, compliance, and regulatory expectations.

Automation, Monitoring & Observability

• Build advanced automation using Shell/Python/PowerShell.
• Develop frameworks for health validation, automated recovery, and compliance checks.
• Define observability standards; optimize alerts and improve MTTR.

Leadership & Mentorship

• Mentor L1/L2 teams; review and approve runbooks, SOPs, and KB articles.
• Act as a trusted technical advisor to stakeholders and leadership.

Skills & Qualifications

Technical (Mandatory)

• Strong knowledge of application architecture, distributed systems, and middleware.
• Java expertise: JVM internals, GC, memory management, thread/heap dump analysis, performance tuning.
• .Net -- CLR internals, garbage collection, memory management, thread/dump analysis, and application performance tuning.
• Strong Unix/Linux, networking basics, and advanced scripting (Shell/Python/PowerShell/VBS).
• Advanced SQL and understanding of databases; Autosys (or equivalent scheduler).
• Handson with observability tools: Splunk, AppDynamics/Dynatrace, ELK, Grafana, Prometheus.

Reliability & Operations

• Major incident leadership, deep RCA, change/release readiness, DR & resilience engineering.
• Experience in regulated production environments.

Soft Skills

• Strong technical leadership and decision‑making.
• Clear communication during high‑pressure incidents.
• Ownership mindset and business awareness.

Experience & Education

• 7–12+ years in Application Reliability, Production Support, SRE, or platform operations.
• Bachelor’s degree in Computer Science/Engineering or equivalent.
• ITIL, cloud, or industry certifications (preferred).
• Banking/financial domain experience (preferred).

Working Conditions

• On‑call and after‑hours support as required.
• Fast‑paced environment with multiple priorities.
• Hybrid working model

 "We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, color, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodation during the recruitment process are encouraged to contact our Talent Acquisition team to place a request." 

About Us 

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago. 

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning. 

Role Summary

The L2 ARO Engineer provides advanced application support, focusing on Java and .Net based troubleshooting, incident resolution, RCA, change support, and reliability improvements. The role serves as the primary escalation point for L1, partnering with development, infrastructure, and middleware teams to ensure availability, performance, and operational excellence.

Key Responsibilities

Incident & Problem Management

• Own end‑to‑end resolution of incidents escalated from L1.
• Perform deep troubleshooting of Java applications, logs, JVM parameters, and platform components.
• Actively participate in or lead Major Incident (MI) bridges.
• Perform RCA and implement permanent fixes.
• Identify recurring issues, trends, and preventive actions.

Change, Release & Operational Readiness

• Review and support production changes related to applications/middleware.
• Perform post‑change validation and production checkouts.
• Highlight risks related to Java versions, certificates, dependencies, and configurations.
• Ensure applications meet availability, performance, and resilience targets.

Monitoring, Automation & Maintenance

• Monitor application health, performance metrics, and system behavior.
• Develop and enhance automation scripts (Shell/Python/PowerShell) for health checks, validations, and repetitive tasks.
• Improve monitoring dashboards, alerts, and observability coverage.
• Maintain and update runbooks, SOPs, and KB articles.

Collaboration & Stakeholder Communication

• Work closely with Dev (L3/L4), Infrastructure, DB, Middleware, and Security teams.
• Serve as the primary operational contact for assigned applications.
• Provide clear technical updates during incidents and changes.

Skills & Qualifications

Technical Skills

• Strong Java and .Net fundamentals and troubleshooting.
• Strong Unix/Linux and networking skills.
• Scripting (Shell/Python/PowerShell) – development & optimization.
• Experience with observability tools: Splunk, Grafana, AppDynamics, ELK.
• Solid understanding of ITSM processes (Incident, Problem, Change).
• Experience in RCA, DR validation, and resilience operations.

Soft Skills

• Strong analytical and problem-solving capabilities.
• Ownership mindset and ability to handle high pressure issues.
• Clear communication with stakeholders at all levels.

Experience & Education

• 3–6 years in application support, production operations, or ARO.
• Bachelor’s degree in engineering, Computer Science, or equivalent.

Working Conditions

• Rotational shifts including nights/weekends/holidays.
• Fast-paced environment with multiple priorities.
• Hybrid working model

 "We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, color, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodation during the recruitment process are encouraged to contact our Talent Acquisition team to place a request." 

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Job Description : 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Job Description: 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

About the Role

We are looking for a skilled backend software engineer to maintain, extend, and improve our Pipelines integration platform — a distributed data pipeline system built on .NET Framework 4.8 that ingests, parses, stages, and reports on operational data from multiple third-party systems across the energy/drilling industry. The successful candidate will also take the lead in migrating the current .NET Framework application to .NET Core.

What You Will Work On

The platform is a C# / .NET Framework 4.8 Windows Service solution consisting of:

• Customer adapter services — customer-specific integration services that orchestrate data pipelines
• Reusable API libraries — shared integration adapters for third-party systems including Graph API, REST API, SQL, and NoSQL
• Pipeline stages — each managed via Azure Service Bus message queues

Key Technologies

Responsibilities

• Maintain and extend the multi-customer Windows Service pipeline executables
• Add new customer adapter projects following established patterns
• Develop new third-party integrations (ingest adapters, parse services, staging jobs)
• Extend the custom grammar expression engine for new mapping scenarios
• Manage Azure infrastructure components: Service Bus queues/topics, Data Lake paths, Key Vault secrets, App Insights monitoring
• Diagnose performance and reliability issues using Application Insights and logs
• Write and maintain unit and integration tests
• Manage NuGet package upgrades and resolve dependency conflicts
• Lead the migration of the .NET Framework application to .NET Core

Required Skills & Experience

• 8+ years with C# and .NET Framework (4.x) — comfort with async/await, DI, and service-oriented patterns
• 8+ years with C# and .NET Core
• Knowledge of Azure Data Factory or similar orchestration tools
• Experience integrating with Azure services: Service Bus, Key Vault, Data Lake Storage, Application Insights
• Proficiency with SQL Server (Azure SQL and on-premises)
• Familiarity with MongoDB driver and BSON pipeline queries
• Understanding of OAuth 2.0 / JWT authentication flows and certificate-based auth
• Experience consuming REST APIs with HttpClient

Nice to Have

• Broader Azure platform experience beyond the core services listed above
• Experience with Windows Services and long-running background service patterns
• Familiarity with custom DSL / grammar expression engine design