ai systems engineer

Sirma Business Consulting India Private Limited

<div><div><b>Backend Engineer &acirc;&#128;&#147; Generative AI (Infra)</b></div><div><b>
Experience Required:</b> 1.5 &acirc;&#128;&#147; 3 Years</div><div><b>
Location:</b> Brookfield, Bangalore (In-office)</div><div><b>
Employment Type:</b> Full-Time</div><h3 class="jobSectionHeader"><b>
About the Role</b></h3><div>
We are seeking a talented Backend Engineer with a focus on AI-driven systems, particularly in developing and maintaining scalable infrastructures for Generative AI applications. This role requires a solid background in backend engineering, API design, and AI model integration, with experience in LLMs, diffusion models, and multimodal AI systems.</div><div>
As a Backend Engineer, you will be responsible for building and managing backend systems that support AI services, ranging from model APIs to data retrieval pipelines, ensuring they are optimized for performance and security in production environments. Experience with enterprise-level systems, particularly in banking or financial services, is a significant advantage.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
Backend Architecture &amp; Development</b></h4><div>
Design and develop scalable backend services to support AI and Generative AI workloads.</div><div>
Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access.</div><div>
Create modular backend components for high-performance, scalable AI operations.</div><h4 class="jobSectionHeader"><b>
Generative AI Pipeline Integration</b></h4><div>
Collaborate with AI engineers to integrate and deploy Generative AI models (LLMs, diffusion models, text-to-image, speech-to-text) in production.</div><div>
Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus.</div><div>
Optimize AI model serving and inference with frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints.</div><h4 class="jobSectionHeader"><b>
API Management &amp; Optimization</b></h4><div>
Develop secure APIs for AI-driven services, ensuring proper version control, authentication (OAuth2, JWT), and scalability.</div><div>
Integrate third-party AI APIs (OpenAI, Anthropic, Google Gemini, Stability AI) into internal systems.</div><div>
Monitor API usage, optimize for latency, and ensure high-throughput AI operations.</div><h4 class="jobSectionHeader"><b>
System &amp; Environment Setup</b></h4><div>
Set up backend environments using Docker, Kubernetes, and CI/CD pipelines for automated deployments.</div><div>
Manage scalable cloud environments (AWS, Azure, GCP) with load balancing and fault tolerance.</div><div>
Support development environments and backend utilities for cross-functional AI teams.</div><h4 class="jobSectionHeader"><b>
Performance &amp; Security</b></h4><div>
Optimize server performance for AI workloads through caching, queuing, and load balancing techniques.</div><div>
Ensure compliance with data privacy and security regulations, especially in financial domains.</div><div>
Implement observability tools like Prometheus, Grafana, and ELK Stack for performance monitoring.</div><h4 class="jobSectionHeader"><b>
Collaboration</b></h4><div>
Collaborate with AI/ML engineers, data scientists, frontend developers, and DevOps teams.</div><div>
Contribute to architecture discussions, backend documentation, and process improvements.</div><div>
Participate in agile ceremonies, code reviews, and design sessions.</div><h3 class="jobSectionHeader"><b>
Required Technical Skills</b></h3><div><b>
Languages:</b> Python (primary), Node.js, Java</div><div><b>
Backend Frameworks:</b> FastAPI, Flask, Django, Express.js, Spring Boot</div><div><b>
AI &amp; Generative Tools:</b></div><div>
Familiarity with LLMs (e.g., GPT, Claude, Gemini, LLaMA, Mistral)</div><div>
Experience with diffusion models (e.g., Stable Diffusion, Midjourney APIs)</div><div>
Knowledge of transformer models via Hugging Face or OpenAI APIs</div><div>
Understanding of prompt engineering and model-serving best practices</div><div><b>
Databases:</b> PostgreSQL, MongoDB, Redis, Elasticsearch</div><div><b>
Vector Databases:</b> Pinecone, Weaviate, Milvus, FAISS (for RAG systems)</div><div><b>
Infrastructure &amp; DevOps:</b> Docker, Kubernetes, Jenkins, GitLab CI/CD, AWS Lambda, ECS, or GCP Cloud Run</div><div><b>
Monitoring:</b> Prometheus, Grafana, ELK Stack, New Relic</div><div><b>
API Technologies:</b> REST, GraphQL, gRPC</div><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><div>
Experience with AI product backend systems or enterprise software, especially in banking.</div><div>
Familiarity with AI pipeline orchestration tools (LangChain, LlamaIndex, Haystack).</div><div>
Understanding of model lifecycle management, vector embeddings, and inference scaling.</div><div>
Familiarity with data encryption, tokenization, and compliance standards (PCI DSS, ISO 27001).</div><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><div>
Strong problem-solving and debugging abilities.</div><div>
Excellent communication skills for collaborating with cross-functional teams.</div><div>
High attention to detail and performance optimization.</div><div>
Curiosity and enthusiasm for emerging AI technologies and backend architecture.</div><h3 class="jobSectionHeader"><b>
Education</b></h3><div>
Bachelor's or Master's degree in Computer Science, IT, AI, or a related field.</div><div>
Certifications in AI/ML, Cloud Architecture, or Backend Development are a plus.</div><h3 class="jobSectionHeader"><b>
Why Join Us</b></h3><div>
Work at the forefront of backend engineering and Generative AI innovation.</div><div>
Build production-ready systems for large-scale, intelligent applications.</div><div>
Collaborate with a team pushing the boundaries of AI applications and infrastructure optimization.</div><h3 class="jobSectionHeader"><b>
Work Schedule</b></h3><div><b>
Working Days:</b> Monday to Saturday (Alternate Saturdays leave)</div><div><b>
Timings:</b> 9:00 AM to 6:00 PM</div></div><div></div>

Backend Engineer – Generative AI (Infra)

IMPACTO DIGIFIN TECHNOLOGIES PVT LTD

<div><div><b>Backend Engineer &acirc;&#128;&#147; Generative AI (Infra)</b></div><div><b>
Experience Required:</b> 1.5 &acirc;&#128;&#147; 3 Years</div><div><b>
Location:</b> Brookfield, Bangalore (In-office)</div><div><b>
Employment Type:</b> Full-Time</div><h3 class="jobSectionHeader"><b>
About the Role</b></h3><div>
We are seeking a talented Backend Engineer with a focus on AI-driven systems, particularly in developing and maintaining scalable infrastructures for Generative AI applications. This role requires a solid background in backend engineering, API design, and AI model integration, with experience in LLMs, diffusion models, and multimodal AI systems.</div><div>
As a Backend Engineer, you will be responsible for building and managing backend systems that support AI services, ranging from model APIs to data retrieval pipelines, ensuring they are optimized for performance and security in production environments. Experience with enterprise-level systems, particularly in banking or financial services, is a significant advantage.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
Backend Architecture &amp; Development</b></h4><div>
Design and develop scalable backend services to support AI and Generative AI workloads.</div><div>
Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access.</div><div>
Create modular backend components for high-performance, scalable AI operations.</div><h4 class="jobSectionHeader"><b>
Generative AI Pipeline Integration</b></h4><div>
Collaborate with AI engineers to integrate and deploy Generative AI models (LLMs, diffusion models, text-to-image, speech-to-text) in production.</div><div>
Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus.</div><div>
Optimize AI model serving and inference with frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints.</div><h4 class="jobSectionHeader"><b>
API Management &amp; Optimization</b></h4><div>
Develop secure APIs for AI-driven services, ensuring proper version control, authentication (OAuth2, JWT), and scalability.</div><div>
Integrate third-party AI APIs (OpenAI, Anthropic, Google Gemini, Stability AI) into internal systems.</div><div>
Monitor API usage, optimize for latency, and ensure high-throughput AI operations.</div><h4 class="jobSectionHeader"><b>
System &amp; Environment Setup</b></h4><div>
Set up backend environments using Docker, Kubernetes, and CI/CD pipelines for automated deployments.</div><div>
Manage scalable cloud environments (AWS, Azure, GCP) with load balancing and fault tolerance.</div><div>
Support development environments and backend utilities for cross-functional AI teams.</div><h4 class="jobSectionHeader"><b>
Performance &amp; Security</b></h4><div>
Optimize server performance for AI workloads through caching, queuing, and load balancing techniques.</div><div>
Ensure compliance with data privacy and security regulations, especially in financial domains.</div><div>
Implement observability tools like Prometheus, Grafana, and ELK Stack for performance monitoring.</div><h4 class="jobSectionHeader"><b>
Collaboration</b></h4><div>
Collaborate with AI/ML engineers, data scientists, frontend developers, and DevOps teams.</div><div>
Contribute to architecture discussions, backend documentation, and process improvements.</div><div>
Participate in agile ceremonies, code reviews, and design sessions.</div><h3 class="jobSectionHeader"><b>
Required Technical Skills</b></h3><div><b>
Languages:</b> Python (primary), Node.js, Java</div><div><b>
Backend Frameworks:</b> FastAPI, Flask, Django, Express.js, Spring Boot</div><div><b>
AI &amp; Generative Tools:</b></div><div>
Familiarity with LLMs (e.g., GPT, Claude, Gemini, LLaMA, Mistral)</div><div>
Experience with diffusion models (e.g., Stable Diffusion, Midjourney APIs)</div><div>
Knowledge of transformer models via Hugging Face or OpenAI APIs</div><div>
Understanding of prompt engineering and model-serving best practices</div><div><b>
Databases:</b> PostgreSQL, MongoDB, Redis, Elasticsearch</div><div><b>
Vector Databases:</b> Pinecone, Weaviate, Milvus, FAISS (for RAG systems)</div><div><b>
Infrastructure &amp; DevOps:</b> Docker, Kubernetes, Jenkins, GitLab CI/CD, AWS Lambda, ECS, or GCP Cloud Run</div><div><b>
Monitoring:</b> Prometheus, Grafana, ELK Stack, New Relic</div><div><b>
API Technologies:</b> REST, GraphQL, gRPC</div><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><div>
Experience with AI product backend systems or enterprise software, especially in banking.</div><div>
Familiarity with AI pipeline orchestration tools (LangChain, LlamaIndex, Haystack).</div><div>
Understanding of model lifecycle management, vector embeddings, and inference scaling.</div><div>
Familiarity with data encryption, tokenization, and compliance standards (PCI DSS, ISO 27001).</div><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><div>
Strong problem-solving and debugging abilities.</div><div>
Excellent communication skills for collaborating with cross-functional teams.</div><div>
High attention to detail and performance optimization.</div><div>
Curiosity and enthusiasm for emerging AI technologies and backend architecture.</div><h3 class="jobSectionHeader"><b>
Education</b></h3><div>
Bachelor's or Master's degree in Computer Science, IT, AI, or a related field.</div><div>
Certifications in AI/ML, Cloud Architecture, or Backend Development are a plus.</div><h3 class="jobSectionHeader"><b>
Why Join Us</b></h3><div>
Work at the forefront of backend engineering and Generative AI innovation.</div><div>
Build production-ready systems for large-scale, intelligent applications.</div><div>
Collaborate with a team pushing the boundaries of AI applications and infrastructure optimization.</div><h3 class="jobSectionHeader"><b>
Work Schedule</b></h3><div><b>
Working Days:</b> Monday to Saturday (Alternate Saturdays leave)</div><div><b>
Timings:</b> 9:00 AM to 6:00 PM</div></div>

Generative AI (Infra) Backend Engineer 2 to 4 years exp

Tavily

<div><h2 class="jobSectionHeader"><b>About Tavily</b></h2><p>
Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems.</p><p>
By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.</p><p>
We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.</p><p></p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
We&rsquo;re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You&rsquo;ll work across the stack, ship fast, and take ownership of critical systems as we scale.</p><p>
This is an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.</p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li>Build fast, reliable, and scalable systems for real-time LLM workflows</li><li>Design and implement backend infrastructure and API endpoints</li><li>Collaborate closely with product to iterate on features quickly and thoughtfully</li><li>Improve performance, monitoring, and reliability across the stack</li><li>Own core systems and contribute to key architectural decisions</li><li>Help shape a strong engineering culture focused on velocity and quality</li></ul><p></p><h2 class="jobSectionHeader"><b>
What You Bring</b></h2><ul><li>2&ndash;5 years of professional software engineering experience</li><li>Strong backend development skills (Python preferred, but not required)</li><li>Experience with large-scale distributed systems and API design</li><li>Hands-on expertise with AWS and cloud-native services</li><li>Comfort working in a fast-paced startup environment with lots of ownership</li><li>Curiosity about LLMs, retrieval, and the future of AI systems</li><li>Based in Abu Dhabi or open to relocating</li></ul><h2 class="jobSectionHeader"><b>
Nice To Have</b></h2><ul><li>Background in frontend or full stack development</li><li>Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)</li><li>Experience building RAG workflows, agentic architectures, or LLM-integrated applications</li></ul><h2 class="jobSectionHeader"><b>
Perks &amp; Benefits</b></h2><ul><li>A young, open, and inclusive culture where everyone has real impact from day one</li><li>The chance to build alongside a fast-moving team at the forefront of agentic AI</li><li>A deep-work culture that values curiosity, creativity, and learning</li><li>Full relocation package for the whole family including accommodation, insurance, flights, children education and more...</li></ul></div><p></p>

Software Engineer

GSSTech Group

<div><p>We are seeking a highly skilled <b>Senior DevOps Engineer</b> with experience in architecting and deploying <b>Agentic AI systems</b>. The ideal candidate will have a strong background in DevOps, cloud infrastructure, and modern AI integrations, including LLM-based systems and autonomous agent development.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li><b>Architect AI-Driven Systems:</b> Design and implement modular architectures that integrate large language models (LLMs) and support multi-step reasoning, retrieval-augmented generation (RAG), and external tool usage.
</li><li><b>AI Model Integration:</b> Evaluate, select, and integrate suitable AI models (e.g., GPT-5, custom LLMs) into scalable production environments.
</li><li><b>Agent Development:</b> Build and deploy intelligent agents capable of research, summarization, task automation, and action execution.
</li><li><b>Infrastructure &amp; Scalability:</b> Manage containerized environments using Docker and Kubernetes, ensuring high availability, performance, and security.
</li><li><b>Responsible AI Practices:</b> Establish and maintain content filtering, audit logging, and data protection mechanisms to ensure ethical AI operations.
</li><li><b>Stakeholder Collaboration:</b> Work closely with cross-functional teams to translate business needs into scalable technical AI solutions.
</li><li><b>Continuous Optimization:</b> Monitor agent performance, analyze errors, refine prompts, and optimize system behavior for accuracy and efficiency.
</li></ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
</li><li>5+ years of experience in DevOps or cloud infrastructure engineering.
</li><li>Strong hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
</li><li>Experience with LLMs, AI model deployment, or MLOps workflows is a strong plus.
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and infrastructure as code (Terraform, Ansible, etc.).
</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, AI-focused environment.
</li></ul><h3 class="jobSectionHeader"><b>Preferred Skills:</b></h3><ul>
<li>Experience with Python-based AI frameworks and APIs.
</li><li>Familiarity with retrieval systems, vector databases, or RAG pipelines.
</li><li>Understanding of data governance, compliance, and responsible AI principles.</li></ul></div>

Senior DevOps Engineer - AI & Agentic Systems

<div>
 <strong>
  About Tavily
  <br/>
  <br/>
 </strong>
 Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems.
 <br/>
 <br/>
 By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.
 <br/>
 <br/>
 We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.
 <br/>
 <br/>
 The Role
 <br/>
 <br/>
 We&rsquo;re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You&rsquo;ll work across the stack, ship fast, and take ownership of critical systems as we scale.
 <br/>
 <br/>
 This is an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Build fast, reliable, and scalable systems for real-time LLM workflows
  </li>
  <li>
   Design and implement backend infrastructure and API endpoints
  </li>
  <li>
   Collaborate closely with product to iterate on features quickly and thoughtfully
  </li>
  <li>
   Improve performance, monitoring, and reliability across the stack
  </li>
  <li>
   Own core systems and contribute to key architectural decisions
  </li>
  <li>
   Help shape a strong engineering culture focused on velocity and quality
   <br/>
   <br/>
  </li>
 </ul>
 What You Bring
 <br/>
 <br/>
 <ul>
  <li>
   2&ndash;5 years of professional software engineering experience
  </li>
  <li>
   Strong backend development skills (Python preferred, but not required)
  </li>
  <li>
   Experience with large-scale distributed systems and API design
  </li>
  <li>
   Hands-on expertise with AWS and cloud-native services
  </li>
  <li>
   Comfort working in a fast-paced startup environment with lots of ownership
  </li>
  <li>
   Curiosity about LLMs, retrieval, and the future of AI systems
  </li>
  <li>
   Based in Abu Dhabi or open to relocating
   <br/>
   <br/>
  </li>
 </ul>
 Nice To Have
 <br/>
 <br/>
 <ul>
  <li>
   Background in frontend or full stack development
  </li>
  <li>
   Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)
  </li>
  <li>
   Experience building RAG workflows, agentic architectures, or LLM-integrated applications
   <br/>
   <br/>
  </li>
 </ul>
 Perks &amp; Benefits
 <br/>
 <br/>
 <ul>
  <li>
   A young, open, and inclusive culture where everyone has real impact from day one
  </li>
  <li>
   The chance to build alongside a fast-moving team at the forefront of agentic AI
  </li>
  <li>
   A deep-work culture that values curiosity, creativity, and learning
  </li>
  <li>
   Full relocation package for the whole family including accommodation, insurance, flights, children education and more...
  </li>
 </ul>
</div>


JK Tech

<div>ID: 2727 | 6-8 yrs | Bengaluru
<p></p><div><p><b>Roles and Responsibilities:</b></p><p><b>
Job Description</b></p><p>
We are looking for a highly hands-on Back-End Engineer with a strong foundation in Python, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.</p><p><b>
Key Responsibilities:</b></p><ul><div>
Design and implement robust, scalable back-end systems for GenAI agent-based platforms.</div><div>
Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.</div><div>
Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.</div><div>
Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.</div><div>
Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.</div><div>
Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.</div><div>
Implement inter-service communication using gRPC and REST.</div><div>
Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.</div><div>
Optionally integrate and support legacy or industry-specific protocols like MCP and A2A.</div></ul><p><b>
Required Skills &amp; Qualifications:</b></p><ul><div>
5+ years of hands-on back-end development experience in Python.</div><div>
Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.</div><div>
Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).</div><div>
Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.</div><div>
2+ years of hands-on experience in Generative AI systems and LLM-based platforms.</div><div>
Proven experience with system architecture, distributed systems, and microservices.</div><div>
Strong familiarity with Any Cloud infrastructure and deployment practices.</div><div>
Practical experience with event-driven architectures and streaming systems.</div><div>
Familiarity with gRPC, asynchronous programming, and modern API design.</div></ul><p></p><p><b><br>
Nice to Have (Preferred):</b></p><ul><div>
Experience with MCP (model context protocol) or A2A (Application-to-Application) integrations.</div><div>
Contributions to open-source projects or personal repos showcasing GenAI / agentic implementations.</div><div>
Understanding of MLOps and CI/CD practices for AI-driven systems.</div><div>
Prior experience with vector databases, RAG pipelines, or fine-tuning LLMs.</div></ul></div></div><p></p>

Lead Consultant

Thomson Reuters

<div><p><b>Senior Software Engineer- AI</b>
</p><p>Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a global leader. As a Senior Software Engineer &ndash; AI, you will play a key role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
</p><p></p><p><b>About The Role:</b>
</p><p>As a <b>Senior Software Engineer &ndash; AI</b>, you will collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions.
</p><p></p><p><b>Build AI-Driven Systems</b>:
</p><ul><li><p>Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning.
</p></li><li><p>Integrate AI models into production software through robust APIs and scalable data pipelines.
</p></li><li><p>Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance.
</p></li></ul><p></p><p><b>Innovate</b>:
</p><ul><li><p>Evaluate and prototype cutting-edge AI techniques to solve business challenges.
</p></li><li><p>Conduct proof-of-concept projects for new AI-driven features.
</p></li><li><p>Stay current with AI research and emerging technologies.
</p></li></ul><p></p><p><b>Provide Technical Leadership</b>:
</p><ul><li><p>Break down functional requirements into scalable technical specifications.
</p></li><li><p>Mentor junior engineers and facilitate technical discussions
</p></li><li><p>Contribute to MLOps and LLMOps practices, both in design and implementation.
</p></li><li><p>Act as a thought leader, sharing expertise in company-wide forums and representing the organization in emerging technology areas.
</p></li></ul><p></p><p><b>Ensure Quality &amp; Operations</b>:
</p><ul><li><p>Implement comprehensive testing frameworks and monitoring systems for AI model performance
</p></li><li><p>Ensure compliance with ethical AI principles and security standards.
</p></li><li><p>Conduct systems analysis and recommend operational improvements.
</p></li></ul><p></p><p><b>Collaborate Across Functions</b>:
</p><ul><li><p>Work closely with AI researchers, engineers, designers and product teams to translate AI capabilities into real-world applications.
</p></li><li><p>Optimize AI system performance considering factors like latency and resource usage.
</p></li><li><p>Support application feature enhancements through AI capabilities.
</p></li></ul><p></p><p><b>About You:</b>
</p><p>You are a fit for the position of Senior Software Engineer- AI if your background includes:
</p><p></p><p><b>Required Skills and experience:</b>
</p><ul><li><p>Bachelor's degree in computer science or equivalent experience.
</p></li><li><p>7+ years of experience in software engineering; at least 2 years focused on AI/ML.
</p></li><li><p>Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
</p></li><li><p>Strong understanding of machine learning principles, evaluation, and system design.
</p></li><li><p>Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications.
</p></li><li><p>Experience integrating AI models into production systems using APIs and data pipelines.
</p></li><li><p>Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
</p></li><li><p>Excellent problem-solving skills and ability to work independently in a fast-paced environment.
</p></li><li><p>Strong communication skills and experience working in cross-functional teams.
</p></li></ul><p></p><p><b>Preferred Qualifications:</b>
</p><ul><li><p>Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
</p></li><li><p>Knowledge of vector databases, embeddings, or search-based AI.
</p></li><li><p>Domain knowledge in legal, tax, or accounting.
</p></li><li><p>A portfolio of projects demonstrating creativity and skill building solutions with LLMs.
</p></li></ul><p></p><p>#LI-SS5</p><p></p><p><b>
What&rsquo;s in it For You?</b></p><div><div><div><div><ul><li><p><b>
Hybrid Work Model: </b>We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.</p></li><li><p><b>
Flexibility &amp; Work-Life Balance:</b> Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.</p></li><li><p><b>
Career Development and Growth:</b> By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.</p></li><li><p><b>
Industry Competitive Benefits:</b> We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.</p></li><li><p><b>
Culture:</b> Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.</p></li><li><p><b>
Social Impact:</b> Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.</p></li><li><p><b>
Making a Real-World Impact:</b> We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.</p></li></ul></div></div></div></div><p></p><p><b><br>
About Us</b></p><p></p><p>
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.</p><p></p><p>
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.</p><p></p><p>
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.</p><p></p><p>
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.</p><p></p><p>
Learn more on how to protect yourself from fraudulent job postings here.</p><p></p><p>
More information about Thomson Reuters can be found on thomsonreuters.com.</p></div>

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