Build and maintain scalable backend services in Python and Java (Spring Boot), develop responsive React frontends, integrate AI/GenAI (LLMs, RAG) using frameworks like LangChain/LlamaIndex, collaborate with cross-functional teams, troubleshoot and optimize systems, and ensure coding, security, and performance best practices.
Experience: 5–10 years
Location: India/US (Remote)
Role Overview
We are looking for a Polyglot Senior Engineer who thrives in building scalable, high-performance applications across multiple tech stacks. You will work closely with cross-functional teams to design, develop, and integrate AI-powered solutions into modern applications.
Key Responsibilities
- Design, develop, and maintain backend services using Python and Java (Spring Boot)
- Build responsive and scalable frontend applications using React.js
- Integrate AI/GenAI capabilities into applications (LLMs, RAG, automation)
- Write clean, efficient, and maintainable code across multiple technologies
- Collaborate with product, QA, and DevOps teams to deliver high-quality solutions
- Participate in architecture discussions and technical decision-making
- Troubleshoot, debug, and optimize existing systems
- Ensure best practices in coding, security, and performance
Must-Have Skills
- Strong hands-on experience as a Polyglot Engineer
- Proficiency in Python, Java, and React.js
- Solid understanding of backend architecture, APIs, and microservices
- Experience with databases (SQL / NoSQL)
- Exposure to AI/GenAI concepts (LLMs, basic integrations)
- Experience with frameworks like LangChain or LlamaIndex
- Strong problem-solving and debugging skills
Good-to-Have
- Exposure to RAG (Retrieval Augmented Generation)
- Experience with cloud platforms (AWS / GCP / Azure)
- Experience with microservices and distributed systems
- CI/CD and DevOps awareness
Similar Jobs
Artificial Intelligence • Cloud • Enterprise Web • Fintech • Software • Analytics • Infrastructure as a Service (IaaS)
Lead full sales cycle for Microsoft Azure enterprise accounts, generating pipeline via inbound/outbound and partner channels, collaborating with Microsoft and internal teams, forecasting in CRM, driving customer events, and advocating customer needs to shape product and GTM strategy in the FinOps space.
Top Skills:
AppsourceAWSAzure MarketplaceCRMGCPAzureMicrosoft Co-SellNops
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Partner with automotive dealerships to drive adoption and performance of Dealertrack and Xtime solutions. Evaluate fixed-ops processes, run in-store and virtual engagements, identify gaps and upsell opportunities, manage at-risk accounts, collaborate with sales and product teams, and communicate product updates to improve efficiency, profitability, and customer satisfaction.
Top Skills:
DealertrackDmsMS OfficeSalesforceVirtual Collaboration ToolsXtime
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Act as a strategic partner for automotive dealerships to drive adoption and performance of Dealertrack and Xtime. Evaluate fixed-ops operations, run in-store and virtual engagements, identify gaps and upsell opportunities, manage at-risk accounts, and collaborate with sales and product teams to improve efficiency, profitability, and customer satisfaction.
Top Skills:
DealertrackDmsMS OfficeSalesforceXtime
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
