Tech Lead

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.

• BS in CS or EE or equivalent
• Experience working on large scale systems in rapid growth environments
• Experience with public cloud offerings (AWS, GCP, Azure)
• Solid programming skills; preferred experience in Java, and/or Python
• Experience with modern web frameworks, advanced algorithms/data intelligence, public
• cloud platforms and streaming data pipelines
• Familiarity with containerization, microservices architecture, continuous integration, and delivery
• 5+ years’ experience preferred

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection

Key Responsibilities 

Minimum Qualification 

Responsibilities & ownership

• Lead, build, deliver and ensure customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
• Work on distributed systems for data processing with efficient protocols and communication, locking and consensus, schedulers, resource management, low latency access to distributed storage, auto scaling, and self healing.
• Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment.
• Lead the team to solve complex and unknown problems 
• Solve technical problems and customer issues with technical expertise
• Design and deliver architectures that run optimally on public clouds like  GCP, AWS, and Azure
• Mentor other team members for high quality and design 
• Collaborate with Product Management to deliver on customer requirements and innovation
• Collaborate with Support and field teams to ensure that customers are successful with Dremio

Requirements

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• Fluency in Java/C++ with 3alm+ years of experience developing production-level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models, and their use in developing distributed and scalable systems
• 5+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Hands-on experience  in query processing or optimization, distributed systems, concurrency control, data replication, code generation, networking, and storage systems
• Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
• Passion for learning and delivering using latest technologies
• Ability to solve ambiguous, unexplored, and cross-team problems effectively
• Hands on experience of working projects on AWS, Azure, and Google Cloud Platform 
• Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and Google Cloud) 
• Understanding of distributed file systems such as  S3, ADLS, or HDFS
• Excellent communication skills and affinity for collaboration and teamwork
• Ability to work individually and collaboratively with other team members
• Ability to scope and plan solution for  big problems and mentors others on the same
• Interested and motivated to be part of a fast-moving startup with a fun and accomplished team

Overview

This position is open to experienced PHP Laravel Developers. You will be working with an amazing team and will have tremendous opportunities to learn and grow quickly.

Who are we looking for?

• 3 years to 5 years of experience
• Proficient in Core PHP
• Proficient in PHP Laravel Framework
• Studied from a reputed college
• Good score throughout academics with minimum 60% marks throughout

Role & responsibilities

• Work on www.faveohelpdesk.com
• Review Faveo in terms of UI, code, usability etc.
• Work to optimize UI, features, code, database etc.
• See that Faveo code follows all standards like PSR/FIG/W3C
• Write PHP Unit test cases and Dusk cases for all the modules that you program
• Guide other junior developers working on Faveo
• Build new features & modules in Faveo
• Maintain the existing code of Faveo
  
  

Technologies you will work on

• PHP
• Laravel Framework
• MySQL
• HTML & CSS
• Bootstrap
• XML
• Basic Javascript, jQuery, Vue.js

Tools you will use

• Git - Github
• Filezilla
• AWS Hosting and management
• cPanel web hosting
• IDE: NetBeans/Dreamweaver/Brackets/Sublime
• Codacy
• Jenkins
• Candidates with prior knowledge of these tools will be preferred

• A Bachelors or master’s degree in engineering.
• 2-4 years of experience in software product development.
• Excellent in Data structure, Algorithms & Problem-solving skills.
• Should be willing to code in Node.js/Java/Python/ROR/Golang
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Customer-focused, react well to changes, work with teams and able to multi-task.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment