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Mid LevelFull-timePythonRailsAWSGCPAzureKubernetesDockerMicroservicesCI/CDAI
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an experienced ML Backend Engineer to join our team. This role focuses on building scalable backend systems that power AI/ML runtime, with a strong emphasis on retrieval-augmented generation workflows.
Key Responsibilities
- →Design and build core backend services powering AI/ML runtime including orchestration, session/state management, and tools/services integration
- →Implement end-to-end retrieval and memory systems covering ingestion, embeddings, indexing, vector search, ranking, caching, and lifecycle management
- →Productionize ML workflows with feature/metadata services, model integration contracts, and evaluation hooks
- →Drive performance, reliability, and cost optimization with strong SLO ownership and observability practices
- →Collaborate with applied ML teams on model routing, prompts/tools, evaluation datasets, and safe releases
- →Translate business requirements into scalable technical designs, define NFR benchmarks, and review architecture for extensibility and best practices
- →Lead troubleshooting, root-cause analysis, and POCs to validate technology and design decisions
Requirements
- ✓Total experience of 6 years+
- ✓Strong expertise in Python and backend engineering with experience building scalable, distributed microservices
- ✓Hands-on experience designing and delivering end-to-end RAG workflows in production systems
- ✓Solid understanding of ML solution design, including embeddings, retrieval, ranking, feature engineering, and evaluation strategies
- ✓Experience with vector databases and implementing chunking, indexing, vector search, re-ranking, caching, and memory patterns
- ✓Knowledge of LLM/NLP engineering, including prompt engineering, model integration, orchestration tools, and evaluation instrumentation
- ✓Experience productionizing ML systems with observability, online/offline parity, and performance optimization
- ✓Strong backend integration skills using REST/gRPC APIs, Docker, Kubernetes, CI/CD, and cloud platforms
- ✓Ability to independently design, ship, and operate reliable, scalable, and cost-efficient ML-backed backend systems
Free to sign up. Takes 30 seconds.
About Nagarro1
Nagarro1 operates at the forefront of digital transformation, specializing in software development, IT consulting, and innovative technology solutions. Headquartered in Germany with a global presence, the company has established itself as a trusted partner for businesses seeking to leverage cutting-edge technologies to drive growth and efficiency. With a foundation built on expertise and a commitment to excellence, Nagarro1 has evolved into a leader in the IT services industry, catering to clients across various sectors including finance, healthcare, and retail. The company offers a comprehensive suite of services, including custom software development, product engineering, quality assurance, and digital transformation consulting. Key features of their offerings include agile methodologies, scalable solutions, and a focus on integrating emerging technologies such as AI, blockchain, and cloud computing. Nagarro1 primarily targets enterprises and mid-sized organizations that require tailored, high-quality IT solutions to enhance their operational capabilities and competitive edge. Their client-centric approach ensures that each project is delivered with precision, innovation, and a deep understanding of industry-specific challenges. Nagarro1 has achieved significant recognition for its technical prowess and client success, with a portfolio that spans over 1,000 projects across 25 countries. The company’s market position is strengthened by its highly skilled workforce, which includes certified professionals and industry experts. What sets Nagarro1 apart is its unique value proposition of combining deep domain expertise with a forward-thinking mindset, enabling clients to navigate the complexities of digital transformation with confidence and achieve measurable business outcomes.
