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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.

About the Role:

We are seeking a skilled Java Developer to join our team. The ideal candidate will have strong experience in core Java development along with exposure to modern frameworks and tools. You will be responsible for designing, developing, and maintaining scalable applications while ensuring performance, security, and code quality.

Key Responsibilities:

• Design, develop, test, and maintain Java-based applications.
• Write clean, efficient, and reusable code following best practices.
• Collaborate with cross-functional teams (Product, QA, DevOps, etc.) to deliver high-quality software.
• Troubleshoot, debug, and optimize application performance.
• Participate in code reviews and contribute to continuous improvement.
• Stay updated with emerging trends, tools, and technologies in the Java ecosystem.

Required Skills & Qualifications:

• Strong proficiency in Core Java (Java 8/11/17).
• Experience with frameworks such as Spring / Spring Boot / Hibernate.
• Good knowledge of REST APIs, Microservices architecture.
• Familiarity with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Understanding of multithreading, collections, and design patterns.
• Experience with version control systems (Git) and build tools (Maven/Gradle).
• Solid problem-solving skills and ability to work in an Agile environment.

Good to Have:

• Exposure to cloud platforms (AWS, Azure, GCP).
• Knowledge of containerization (Docker, Kubernetes).
• Experience with messaging systems (Kafka, RabbitMQ).
• Familiarity with CI/CD pipelines.

Job Location: New Delhi

What you’ll do:

• Contribute to all phases of the Software development lifecycle

• Write well-designed testable, efficient code and complex code with Data Structure & Algorithms.

• Ensure designs are in compliance with specifications on Java and RestAPI.

• Prepare and produce releases of software component

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• A Developer whose job includes writing complex code, testing, and fixing bugs.

• Maintain, design the database and organize collected information.

• A specialized programmer who focuses on multiple types of development.

What you’ll bring:

• 2 year to 5 years of proven hands-on Software Development experience.

• Strong experience in Java programming

• Expertise Knowledge of Data structures and Algorithms

• Proven working experience in a product-based organization (preferred)

• Understanding with Java frameworks Spring boot, Microservices and ORM frameworks.

• Must have the experience to design and build scalable REST APIs.

• Object-oriented analysis and design using common design patterns.

• Expertise in Java Microservices, Spring, Spring boot MongoDB and Redis 
• Hands-on programming skills
• Proficient communication skills