SDE II/III

We are looking for a Senior Backend Engineer to build and operate the core AI/ML-backed systems that power large-scale, consumer-facing products. You will work on production-grade AI runtimes, retrieval systems, and ML-adjacent backend infrastructure, making pragmatic tradeoffs across quality, latency, reliability, and cost.

This role is not an entry point into AI/ML. You are expected to already have hands-on experience shipping ML-backed backend systems in production.

At Proximity, you won’t just build APIs - you’ll own critical backend systems end-to-end, collaborate closely with Applied ML and Product teams, and help define the foundations that power intelligent experiences at scale.

Responsibilities -

• Own and deliver end-to-end backend systems for AI product runtime, including orchestration, request lifecycle management, state/session handling, and policy enforcement.
• Design and implement retrieval and memory primitives end-to-end — document ingestion, chunking strategies, embeddings generation, indexing, vector/hybrid search, re-ranking, caching, freshness, and deletion semantics.
• Productionize ML workflows and interfaces, including feature and metadata services, online/offline parity, model integration contracts, and evaluation instrumentation.
• Drive performance, reliability, and cost optimization, owning P50/P95 latency, throughput, cache hit rates, token and inference costs, and infrastructure efficiency.
• Build observability by default, including structured logs, metrics, distributed tracing, guardrail signals, failure taxonomies, and reliable fallback paths.
• Collaborate closely with Applied ML teams on model routing, prompt and tool schemas, evaluation datasets, and release safety gates.
• Write clean, testable, and maintainable backend code, contributing to design reviews, code reviews, and operational best practices.
• Take systems from design → build → deploy → operate, including on-call ownership and incident response.
• Continuously identify bottlenecks and failure modes in AI-backed systems and proactively improve system robustness.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6–10 years of experience building backend systems in production, with 2–3+ years working on ML/AI-backed products such as search, recommendations, ranking, RAG pipelines, or AI assistants.
• Strong practical understanding of ML system fundamentals, including embeddings, vector similarity, reranking, retrieval quality, and evaluation metrics (precision/recall, nDCG, MRR).
• Proven experience implementing or operating RAG pipelines, covering ingestion, chunking, indexing, query understanding, hybrid retrieval, and rerankers.
• Solid distributed systems fundamentals, including API design, idempotency, concurrency, retries, circuit breakers, rate limiting, and multi-tenant reliability.
• Experience with common ML/AI platform components, such as feature stores, metadata systems, streaming or batch pipelines, offline evaluation jobs, and A/B measurement hooks.
• Strong proficiency in backend programming languages and frameworks (e.g., Go, Java, Python, or similar) and API development.
• Ability to work independently, take ownership of complex systems, and collaborate effectively with cross-functional teams.
• Strong problem-solving, communication, and system-design skills.

Desired Skills -

• Experience with agentic runtimes, including tool-calling or function-calling patterns, structured outputs, and production guardrails.
• Hands-on exposure to vector and hybrid retrieval stacks such as FAISS, Milvus, Pinecone, or Elasticsearch.
• Experience running systems on Kubernetes, with strong knowledge of observability stacks like OpenTelemetry, Prometheus, Grafana, and distributed tracing.
• Familiarity with privacy, security, and data governance considerations for user and model data.

Benefits

• Best in class compensation: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet engineers, designers, and product leaders — and learn from experts across domains.

Keep on learning with a world-class team: Work on real, production AI systems at scale, challenge yourself daily, and grow alongside some of the best minds in the industry.

Job Description below :

Role: Java Developer 

JOB REQUIREMENT 

Location: Bangalore 

Skills - 

• DS Algorithms
• Oops Concept
• Java
• Spring

Job Brief-

• Understand product requirements and come up with solution approaches
• Build and enhance large scale domain centric applications
• Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

• 4+ years distributed service engineering experience in a software development environment
• Experience driving feature design reviews, documentation, UX reviews, and working with Product Managers through the entire launch process
• Strong development experience in Java, C++, C#, or similar OO languages
• Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals
• Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures
• Good understanding of databases, NoSQL systems, storage and distributed persistence technologies
• Experience building multi-tenant, virtualized infrastructure a strong plus

Software Developer:

• Strong experience on Java and Python
• Experience on Kafka, Kubernetes, and React
• Must have experience on any one database
• Location :Bangalore and Hyderabad
• Experience : 5-10 Years

Working as a “Backend Developer” at Bonzai gives you the opportunity to work on maintaining and improving the platform.

• Work on the entire product lifecycle starting from design to deployment and monitoring.
• Explore new technologies such as Kotlin, patterns such as Domain-Driven Design and other cool stuff such as Gitlab CI/CD pipelines, Docker, ECS, Golang, Python, Terraform, distributed tracing and even Haskell.
• Ensure top-notch performance in terms of product and feature experience.

• 2 - 3 yrs of experience in Java, Spring Boot, Hibernate, Rest API, and MySQL.
• Good to have experience/knowledge of other programming languages such as Kotlin or Python, other DBs such as Redshift, platforms such as AWS and architectural patterns such as https://martinfowler.com/bliki/DomainDrivenDesign.html">Domain-Driven Design (DDD) and https://en.wikipedia.org/wiki/Hexagonal_architecture_(software)">Hexagonal architecture.
• Good understanding of Object-oriented concepts, Functional programming and Design Patterns.
• Exceptional communication skills and ability to articulate complex ideas in written, spoken and visual language
• Bachelor in engineering preferably from a leading institute across the globe.

We are looking for a Java backend developer who would be working on the bleeding edge of technologies. We work primarily with a fully reactive stack powered by Spring Webflux and Reactive MongoDb Repository in AWS. Our services follow both event based approaches as well as workflow based depending on the use case.

Responsibilities

• Understand why a particular design was chosen and code accordingly
• Will have to deliver clean bug free unit tested code with minimal guidance
• Strive for continuous improvement by refactoring and applying best practices
• Learn and adapt to new technologies as necessary.
• Capable of working in both client side and server side technologies

Requirements

• Must have a Bachelor’s degree in computer science or equivalent
• Must have 2-3 years experience as a software developer
• Must be proficient in Core Java and Spring/Springboot. Knowledge of Webflux is not mandatory.
• Must have developed RESTful services
• Should understand git

Added Bonus

• Experience working with microservices
• Experience in a NoSql solution like MongoDB
• Experience working with Python

• Expertise in software design and development.
• Proficiency with at least one Object Oriented language(e. g. Java)
• Experience with building high-performance, highly available and scalable distributed systems
• Experience with API Design, ability to architect and implement an intuitive customer and third-party integration story.