Senior AI Backend Engineer

Location

Worldwide

Posted

77 days ago

Salary

0

Seniority

Senior

Job Description

Senior AI Backend Engineer

BasharSoft

Role Description Build scalable AI-powered backend systems that form the backbone of our client solutions. You'll architect robust APIs, integrate multiple AI providers with intelligent fallback strategies, and optimize real-time workflows that handle AI processing at scale. What You'll Do - Integrate and manage multiple AI providers (LLMs, image/video generation) with smart fallback and cost optimization - Design and optimize prompt engineering strategies for consistent, high-quality AI outputs - Build high-performance REST/GraphQL APIs using Django and FastAPI with async processing - Develop real-time features using SSE, WebSockets, and background task processing (Celery) - Architect scalable microservices with robust error handling, rate limiting, and monitoring - Optimize database queries, implement caching strategies, and design efficient data models - Implement RAG pipelines and vector embeddings for context-aware AI responses - Write comprehensive tests, maintain CI/CD pipelines, and conduct code reviews Qualifications - 5+ Years of Experience - Python & Frameworks: Django and/or FastAPI in production, async Python (asyncio, async/await) - AI Integration: LLM APIs (OpenAI, Gemini, etc.), prompt engineering, token/cost optimization - Databases: PostgreSQL (query optimization, indexing), Redis (caching, queuing) - Async Processing: Celery or equivalent, message brokers (RabbitMQ, Redis, SQS) - DevOps: Docker, Git, cloud platforms (AWS/GCP), CI/CD pipelines - API Design: RESTful principles, authentication, rate limiting, error handling Tech Stack - Python 3.10+ - Django, FastAPI - PostgreSQL, Redis, MongoDB - OpenAI, Gemini - Celery - Docker - AWS/GCP Nice-to-Have - Server-Sent Events (SSE) or WebSocket implementation - Vector databases (Pinecone, Weaviate, pgvector) and RAG architectures - MongoDB or NoSQL experience - Multi-provider AI abstractions and failover strategies - GraphQL, workflow orchestration (Temporal, Airflow), Kubernetes - Observability tools (Datadog, Sentry, ELK) - LangChain, LlamaIndex, or similar frameworks

Related Job Pages

More Backend Engineer Jobs

Skoobe logo

Senior Backend Developer – Remote

Skoobe

Lesen. Hören. Bücher erleben.

Backend Engineer77 days ago
Full TimeRemoteTeam 11-50Since 2010H1B No Sponsor

• Work as a part of our backend team and be responsible for diverse and challenging backend development efforts • Design and implement robust and scalable services • Ensure high uptime and meet scalability needs • Write and maintain tests to improve software quality • Automate recurring tasks, help us simplify operations • Design and communicate new API features

Germany
Job Closed
Vistas Recruitment logo

Senior Backend Engineer

Vistas Recruitment

Apply now or email martin@vistasrecruitment.com for more details. **** please note: I reply to every application in person - successful or not. Please add martin@vistasrecruitment.com to your contact list to prevent my response to your application potentially going to your spam folder ****

Backend Engineer77 days ago

Role Description Want to make the most of AI as part of the development process? Would you describe yourself as an engineer who owns product outcomes, not just code? Want to work in a small, well-established, profitable and secure company, set for growth? Want to work remotely within the UK? My client, a leader in the world of document automation, has asked me to find a senior backend engineer with expert Go knowledge to help build reliable, scalable systems that process millions of documents for their expanding customer base. They embrace the use of AI as part of the development process and will encourage you to make the most of it. You have a foundation in backend engineering and are aware of customer needs and have an opinion of how users experience your work. You think of yourself as a full‑stack engineer with product instincts. The tech stack comprises: - Go - PostgreSQL - Kubernetes - GCP/AWS - Svelte - Typescript Qualifications - 10+ years engineering experience - 2+ years Go in production - Experience in successfully using AI agents as part of the development process and a desire to do more with it - Track record of successfully working remotely - Open to join an on-call rota once you're settled Requirements - The team likes to get together every 4-6 weeks for 2 days at a time around the South East of England. So ability to travel (ideally by car) is crucial. Travel expense and accommodation costs are covered. - You need to already be located in the UK with no requirement for sponsorship. Benefits - Travel expense and accommodation costs covered for team meet-ups. Company Description Apply now or email martin@vistasrecruitment.com for more details. **** please note: I reply to every application in person - successful or not. Please add martin@vistasrecruitment.com to your contact list to prevent my response to your application potentially going to your spam folder ****

United Kingdom
£85K - £95K / year
Job Closed
Revvity logo

Associate Backend Software Engineer, Java, Vert.x, AWS

Revvity

Expanding the boundaries of human potential through science

Backend Engineer77 days ago
Full TimeRemoteTeam 10,001+H1B No Sponsor

• Collaborate with team members on priorities, specifications, and feature implementation • Craft well-documented, clean, and tested code • Create secure, performant interfaces and services • Build and maintain new, high-impact functionality into Signals Notebook • Work with cloud services and technologies • Leverage Claude Code to understand and analyze the codebase

Massachusetts
$74K - $98.5K / year
Job Closed
Full TimeRemoteTeam 201-500Since 2003H1B No Sponsor

• Designing, developing, enhancing, and supporting healthcare systems built on the Cognizant Facets platform. • Working closely with Technical Analysts, business stakeholders, and infrastructure teams to deliver integrations, extensions, and cloud-based solutions in support of core healthcare operations. • Focusing on hands-on development of Facets extensions, integrations, and related components, while supporting deployments and operations within AWS environments. • Leveraging strong SQL skills and system knowledge to build reliable, scalable, and maintainable solutions. • Participating in the full software development lifecycle and assisting with production support and issue resolution.

United States