CrawlJobs Logo

Senior Software Engineer - Azure Translator & Language AI Team

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted May 05, 2026
Apply Position
Job Link Share

Job Description

The Azure Translator & Language AI team at Microsoft builds the core technologies that power multilingual communication across Microsoft products and services—including Azure Cognitive Services, Office, Bing, and global enterprise solutions. Our work brings together cutting‑edge language models, scalable cloud systems, and worldwide deployment needs to deliver fast, reliable, and secure translation experiences at massive scale. As a Senior Software Engineer on the Azure Translator & AI Language team, you will design, build, and maintain the tools, services, and platforms that enable translation services for over 100 languages. Your work will span cloud‑native services, CI/CD pipelines, large‑scale distributed systems, and internal engineering tools that support the full lifecycle of model training, evaluation, and deployment. You will improve developer workflows, enhance system reliability, and enable the Translator team to ship high‑quality language technologies quickly and confidently. This is a deeply technical role requiring hands‑on design and development expertise. We are looking for candidates with experience building and maintaining infrastructure for large‑scale services, ideally hosted in GitHub or Azure DevOps, and deployed across Azure environments. We foster a collaborative, growth‑oriented culture where engineers are encouraged to experiment, share knowledge, and push boundaries. Initiative, adaptability, and a bias for action are essential as we continue to advance the state of AI‑powered translation.

Job Responsibility

  • Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner
  • Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code
  • Leads discussions for and owns the architecture of a products/solutions and creates proposals for architecture by testing design hypotheses and develop complex design specifications
  • Works with partner teams to ensure a project/sub-system of a product works well with the components of the partner team
  • Acts as a designated responsible individual (DRI) and guides other engineers by developing and following the playbook

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Must pass Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Nice to have

  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • A technical background and solid foundation in software engineering principles and architecture design
  • An intellectual curiosity and passion about learning new technologies
  • Previous cross-team collaboration skills and the desire to collaborate in a team of researchers and developers
  • 3+ years of experience in cloud security and Azure
  • 3+ years of experience with Azure DevOps or github
  • 1+ years of experience with CI/CD systems

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Software Engineer - Azure Translator & Language AI Team

8 matching positions

Senior Software Engineer- AI

Are you looking for an opportunity to work with the latest Azure offerings and p...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in Software Development
  • Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
  • Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
  • Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
  • Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
  • Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
  • Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
  • Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
  • Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
  • Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures
Job Responsibility
Job Responsibility
  • Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
  • Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
  • Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
  • Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
  • Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
  • Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
  • Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
  • Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
  • Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications
  • Fulltime
Read More
Arrow Right

Senior Software Engineer – AI Solutions

We are seeking a Senior Software Engineer – AI Solutions to help design and impl...
Location
Location
United States , Atlanta
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent experience)
  • 5+ years of detail oriented software engineering experience
  • 3+ years of hands-on experience working with Large Language Models (LLMs) in production environments
  • Strong Python development skills (required)
  • Experience with at least two of the following: LangChain, OpenAI Agents SDK, Azure OpenAI, Vector databases, AI Development Life Cycle (AIDLC)
  • Full-stack enterprise development experience (.NET, React/TypeScript, SQL)
  • Cloud experience (Azure preferred
  • AWS or GCP acceptable)
  • Experience with CI/CD pipelines and DevOps practices
  • Strong communication skills with the ability to translate AI concepts to both technical and business stakeholders
Job Responsibility
Job Responsibility
  • Help design and implement AI-driven capabilities within a experienced, enterprise SaaS environment
  • Support the evolution of AI-enabled product features
  • Integrate large language models into existing systems
  • Help move initiatives from concept through production deployment
  • Contribute to system design discussions
  • Apply sound AI development practices
  • Build scalable, maintainable services that align with established enterprise standards
  • Collaborate with a small, focused engineering team in a highly interactive environment
  • Report directly to engineering leadership
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
Read More
Arrow Right

Senior Software Engineer- AI and Data Governance

At GEICO, we offer a rewarding career where your ambitions are met with endless ...
Location
Location
United States , Palo Alto
Salary
Salary:
100000.00 - 215000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advance knowledge of at least one modern OOP languages such as Go, Python, Java, etc.
  • Advance knowledge of web technologies such as HTML, CSS, JavaScript is preferred
  • Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch, etc.
  • Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus
  • Experience building and configuring flows, and process builders
  • Strong understanding of web service integration (GRPC / REST) and enterprise middleware integration tiers
  • Ability to articulate channel dataflow and process flow including email, messaging, chat, mobile Push and SDK's
  • Excellent communication skills – needs to be able to lead projects from the front and interact with clients and sponsors on a regular basis
  • Experience partnering with engineering teams and transferring research to production
  • Experience with continuous delivery (CI/CD) and Infrastructure as Code
Job Responsibility
Job Responsibility
  • Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
  • Develop and execute technical software development strategy for the Platform Engineering domain including Service Management, Business Continuity, Recovery, Incident Response and Paging platforms
  • Accountable for the quality, usability, and performance of the solutions
  • Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes
  • Consistently share best practices and improve processes within and across teams
  • Willing to take on-call and operational support
  • Experience designing recommendation systems, ranking, personalization, similarity search and embeddings
  • Experience with NLP, LLMs and RAG, as well as translating natural language into graph or data queries
  • Experience designing scalable AI systems and Data pipelines
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Senior Research Software Engineer - Azure Office of the CTO

Azure Office of the CTO (AOCTO) plays a crucial role in Microsoft’s rapidly expa...
Location
Location
United States , Multiple Locations
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design and execute AI and security research initiatives from hypothesis development through experimentation, validation, and analysis, driving outcomes that contribute to academic publication and/or product integration
  • Develop and evaluate model improvement strategies through systematic experimentation and ablation, ensuring both scientific rigor and practical applicability
  • Analyze model behavior, robustness, and safety characteristics to inform technical direction, research contributions, and real-world deployment decisions
  • Maintain and optimize GPU research infrastructure, ensuring cluster reliability, performance efficiency, and adherence to security best practices to support experimentation
  • Synthesize emerging technical trends into actionable insights and collaborate across research and engineering teams to translate validated findings into high-impact outcomes
  • Conduct market, technical, and architectural research to evaluate emerging technologies
  • Keep up with cloud trends and share insights with the CTO and executive office
  • Maintain confidentiality on internal projects and initiatives not yet public
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer - AI

GEICO is seeking an experienced Engineer with a passion for building high-perfor...
Location
Location
United States , Seattle, WA; Austin, TX; Palo Alto, CA; Chicago, IL; Dallas, TX
Salary
Salary:
110000.00 - 230000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building and deploying ML systems in production with cross-functional engineering teams
  • Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design
  • Experience architecting multi-component ML platforms using open-source/cloud-agnostic components: Datastores: PostgreSQL, NoSQL (MongoDB, Cassandra, CosmosDB) Streaming: Kafka, Flink, or Spark Streaming
  • Experience with end-to-end ML lifecycle: version control, CI/CD, Kubernetes, testing, monitoring, and production support
  • Experience with cloud providers (Azure, AWS or GCP) in production ML environments
  • Experience with observability tools and distributed systems monitoring, logging, tracing, and root cause analysis
  • Experience building multi-agent systems using LLMs and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI)
  • Hands-on experience with RAG, semantic search, and vector databases (e.g., Milvus, pgvector, Qdrant, ElasticSearch)
  • Experience designing human-in-the-loop workflows and safety controls for autonomous systems
  • Strong architecture and design skills with ability to influence technical direction and roadmap
Job Responsibility
Job Responsibility
  • Design and build a multi-agent AI platform where specialized agents autonomously detect, diagnose, and resolve issues through agent-to-agent (A2A) collaboration
  • Develop intelligent agents using LLMs and agentic frameworks that coordinate detection, diagnostic, remediation, and knowledge tasks with minimal human intervention
  • Define agent interaction protocols, A2A communication standards, and evaluation frameworks for agent decision quality and autonomous action safety
  • Architect vector database solutions (Milvus, pgvector, Qdrant) for semantic search and RAG to enable context-aware agent decision-making
  • Build end-to-end ML pipelines for severity classification, anomaly detection, failure pattern recognition, and impact forecasting using observability data
  • Establish scalable orchestration infrastructure for multi-agent workflows with CI/CD, automated evaluation, canary releases, and rollback strategies
  • Implement monitoring for agent interactions, A2A communication patterns, decision quality, data drift, and system reliability
  • Lead technical architecture ensuring scalability, observability, and integration with existing alerting, logging, and monitoring systems
  • Define standards for agent safety, explainability, governance, and human-in-the-loop controls for high-impact automated actions
  • Partner with SRE, Product, and Engineering teams to translate reliability goals into measurable ML objectives and maintain pragmatic technical roadmaps
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Senior Cloud Software Engineer AI

We are looking for an experienced Senior Cloud Software Engineer AI (m/f/d) for ...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
brighter.ai Logo
Brighter AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of professional experience building resilient, scalable systems and troubleshooting whole-system issues
  • Several years of experience with Microsoft Azure or AWS and associated services
  • Solid expertise in at least one programming language, either Python or C++
  • Several years of experience implementing cloud infrastructure solutions, specifically IaC with Terraform and Kubernetes
  • Enjoy working in an agile team with daily scrum-based sprints and consider yourself a good team player
  • Business-fluent English skills
Job Responsibility
Job Responsibility
  • Participate in the design and continuous improvement of the existing cloud landscape
  • Responsible for the scalability of compute-intensive workloads
  • Guide the team in cloud architecture decisions
  • Work across teams to improve problem visibility and translate issues into concrete solutions
  • Reduce cycle times and introduce continuous delivery
  • Steer technical projects from conception through implementation and ensure handover to operations during the testing phase
What we offer
What we offer
  • Friendly cooperation at eye level—flat hierarchies with a positive feedback culture
  • Innovation where it matters—a challenging position in a company that is changing the world of video data
  • Creative and entrepreneurial playground - define your own tasks, actively contribute and implement your ideas
  • Team spirit celebrates diversity—Numerous events to get to know the teams
  • Flexible working hours - Trust-based and goal-oriented working culture
  • Public transport ticket with a 50% subsidy
  • Huge discount on Urban Sports Club memberships
  • Generous learning budget
  • Loft-office in central Berlin - With free drinks and a large balcony with barbecue
  • Fulltime
Read More
Arrow Right

Senior Software Engineer II - Backend - AI Search

AI is one of the fastest growing product areas in Seismic. We believe that AI, p...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
seismic.com Logo
Seismic
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in software engineering and a proven track record of building and scaling microservices and working with data retrieval systems
  • 5+ Experience with C# and .NET, unit testing, object-oriented programming, and web services
  • 3+ Experience with Python, with the ability to work concurrently on Python and .NET repositories
  • 3+ Experience with Redis, including expertise in managing large-scale Redis clusters
  • 2+ Experience with PostgreSQL, including maintaining and performing tuning
  • Proficient in Test Driven Development (TDD) with hands-on experience using xUnit and Postman to develop automation test scripts
  • Experience with Infrastructure as Code (Terraform, Pulumi, etc.)
  • Experience with Event driven architectures with tools like Kafka
  • Experienced in container technologies such as Docker and proficient in microservice frameworks like Kubernetes (K8s)
  • Experienced in Continuous Integration and Continuous Deployment (CI/CD) with expertise in developing Jenkins pipelines using Scala
Job Responsibility
Job Responsibility
  • Design, develop, and maintain backend systems and services for search functionality, ensuring high performance, scalability, and reliability
  • Implement and optimize search and AI-driven semantic algorithms, indexing, and information retrieval techniques to enhance search accuracy and efficiency
  • Collaborate with data scientists, AI engineers, and product teams to integrate AI-driven search capabilities across the Seismic platform
  • Monitor and optimize search performance, addressing bottlenecks and ensuring low-latency query responses
  • Provide technical guidance and mentorship to junior engineers, promoting best practices in search backend development
  • Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to deliver seamless and intuitive search experiences
  • Stay updated with the latest trends and advancements in search technologies, conducting research and experimentation to drive innovation
  • Fulltime
Read More
Arrow Right

Senior and Principal Software Engineers - Azure AI Search

Join Azure AI Search Engineering Foundations as a Senior or Principal Software E...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Experience building or operating services on Azure (or comparable cloud platform).
  • Experience with secure engineering practices (e.g., threat modeling, secure coding, secrets management, managed identities, authentication/authorization, certificates).
  • Experience building developer platforms or frameworks (e.g., validation frameworks, test infrastructure, internal SDKs, reusable libraries).
  • Experience evaluating or integrating AI-assisted developer workflows in a production engineering environment.
  • Master's Degree in Computer Science or related technical field OR equivalent experience.
  • Successful track record delivering production software end-to-end (design, implementation, testing, rollout) for a service or platform, with clear ownership of at least one meaningful component or capability.
  • Successful track record improving engineering productivity through tooling, automation, build/test infrastructure, CI/CD, or operational tooling—demonstrated by measurable outcomes (e.g., reduced build/test/validation time, improved pipeline reliability, reduced manual steps/toil).
  • Successful track record operating and improving reliability of software systems by diagnosing issues from logs/metrics/traces, driving fixes, and validating improvements (e.g., reduced incident recurrence, improved operational health signals).
  • Successful cross-team collaboration: partnered with stakeholders to clarify ambiguous requirements, evaluate tradeoffs, and deliver agreed outcomes (e.g., shipped incremental milestones, communicated risks and dependencies clearly).
Job Responsibility
Job Responsibility
  • Own and deliver engineering foundations work end‑to‑end—spanning design, implementation, testing, rollout, and iteration—to improve the inner‑ and outer‑loop developer experience across Azure AI Search.
  • Partner closely with feature, platform, and infrastructure teams to understand developer pain points, translate requirements into pragmatic tooling, automation, and process improvements, and drive adoption through collaboration and iteration.
  • Prototype, evaluate, and integrate AI‑assisted engineering tools and modern workflows that measurably improve developer productivity, quality, reliability, and operational confidence.
  • Design and incrementally deliver scalable, reliable, and efficient solutions across CI/CD pipelines, build and test infrastructure, validation frameworks, automation, and operational tooling—using data and feedback to validate impact.
  • Apply a security‑first mindset in daily engineering work, including secure coding practices, threat modeling, identity and secrets hygiene, and compliance‑aware design.
  • Navigate ambiguity by breaking down complex problems, proposing options and tradeoffs, aligning stakeholders around a clear direction, and communicating progress, risks, and outcomes effectively.
  • Lead by example through strong technical judgment, mentorship, and collaboration, helping raise the bar for engineering practices while fostering an inclusive, high‑trust team culture.
  • Define and influence a high‑quality developer experience for Azure AI Search by setting standards, establishing best practices, and driving improvements that enable engineering teams to thrive.
  • Deliver results with a focus on measurable outcomes, such as reduced build and test times, faster PR validation, improved pipeline reliability, and decreased manual toil.
  • Fulltime
Read More
Arrow Right