Chief Technology Officer (CTO)

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.

Software Engineer

Opportunity in this role / Why should you join us?

- You are your own master.  We don't preach you, we just allow you to Innovate, Iterate, Learn and Adapt

- Work with one of India's leading fintech unicorn company

- ESOPs in the company

Requirements

• 3+ years and above exposure in the art of writing codes and solving problems for large scale
• Extensive and expert programming experience in any one programming language (strong OOPS skills preferred). Deep experience in a java programming language
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
• Have a penchant for solving complex and interesting problems.
• BE/BTech, MTech in Computer Science or related technical discipline (or equivalent).
• Excellent coding skills – should be able to convert the design into code fluently Good skills to write unit & integration tests with reasonable coverage of code & interfaces - TDD is a plus
• Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with the huge amount of data. Experience with

multi-threading and concurrency programming

• Ability to switch between the technologies and learn new skills on the go.

Roles and Responsibilities

• Drive discussions to create/improve the product, process and technology
• Build abstractions and contracts with separation of concerns for a larger scope
• Rapid prototyping
• Robust and scalable web-based applications
• Do high-level design with guidance; Functional modelling, break-down of a module
• Thinking platforms & reuse, the open-source contribution will be a plus
• Do incremental changes to architecture: impact analysis of the same
• Do performance tuning and improvements in large scale distributed systems
• Mentor young minds and foster team spirit.

Professional Requirements:

• 2-8 Years professional development experience.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• Good understanding of data structures and algorithms.
• Good understanding of high level and low-level design of distributed systems.
• Experience coding in any one of the following Java or Nodejs.
• Experience building highly available distributed systems on cloud infrastructure will be plus.
• Exposure to architectural pattern of a large, high-scale web application.

Requirement/responsibilities: To take a project from scoping requirements through launch of the project. Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the and implementation. Management and execution against project plans and delivery commitments. Participate in design and code reviews.

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Analysis, Automate and backtest the existing strategies
• Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.

• Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
  Learnability, teamwork and flexibility are important traits we look for.

 Roles & Responsibilities -

• Build and maintain infrastructure for data retrieval, processing and storage
• Build strong working relationships with international teams
• Be willing and able to adapt to changes in priorities
• Ability to learn and apply new technologies to deliver added business value
• Maintain a strong focus on quality

• Proficient in Python / SQL
• Good understanding of data base management systems
• Experience developing and maintaining systems that handle large amounts of data
• Understanding of Electronic Trading Systems
• Attention to detail and code quality
• Excellent problem solving and analytical skills in a high-pressure environment
• Strong communication skills and an ability to convey ideas and concepts with clarity

• 0-3 application development experience in solution building on Blockchain technology.
• Solid understanding of and experience in blockchain / distributed ledger technologies familiarity with platforms, such as Ethereum and Hyperledger.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
• Security Architecture / Cryptography is a plus.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus.
• Experience on development tools such as Hyperledger Fabric/Sawtooth,Geth , Composer, Solidity Remix Functional
• Basic understanding of Web applications architecture and protocols.