Business Development Associate

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 Profile 

About the role

We are looking for experienced developers, who have the aspirations and appetite in working in a start-up environment, and with relevant industry experience to make a significant contribution to our Digilytics^TM platform and solutions. 

Responsibilities

• Implementing High quality applications using front end technologies like Angular JS or Angular latest versions.
• Wherever possible take part in backend implementation.
• Suggest better and suitable alternative technologies and frameworks.
• Interacting with clients and gathering and documenting business requirements and solution designs to a high degree
• Recruiting and managing other personnel as relevant and achieving a high performance for self and the team
• Ensuring that clients are satisfied and do not have any negative feedback about the Company and the Executives provision of services
• Understand the Digilytics^TM vision and help in creating and maintaining a development roadmap
• Contribute to product development team and deliver product releases in a timely manner
• Ensure the quality of the product delivered
• Develop client-specific solutions using the product
• Liaise with multiple stakeholders and coordinate with our onshore and offshore entities

Expected and Desired Skills

• Strong programming skills and deep understanding of technical delivery
• Excellent understanding of analytical techniques and technology landscape
• Excellent problem-solving skills
• Good interpersonal skills and the ability to communicate ideas clearly at all levels
• Ability to work in unfamiliar business areas and to use your skills to create solutions
• Flexible approach to working environment and hours to meet the needs of the business and clients

Experience

• A start up mind set with proven experience working in both smaller and larger organisations having multicultural exposure
• Between 3-4 years of experience working closely with the relevant technologies, and developing world-class software and solutions

Education Background

• A Bachelors degree, or equivalent, preferably in Software Engineering and Computer Science

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

• Bachelor's degree in computer science, information science, or similar.
• At least two years of experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours
• Should know CI/CD process

• Have 3 - 6 years of experience working in a high speed Product B2B start up doing Full-stack or ReactJS software development
• Have demonstrated experience in Front-end developer tooling, React js and its core principles
• Have experience with popular React js workflows (such as Hooks and Redux), React Material UI,Data structure libraries (e.g., Immutable js)and with RESTful APIs
• Have experience in debugging, problem-solving, and improving application performance. 
• Are willing to learning new technologies on your own.
• Have knowledge in best practices for the whole software development cycle (TDD/CI/CD) and agile methodologies.
• Have good knowledge of version control.
• Have the ability to use a wide variety of open source technologies and tools. 
• Have good communication ability and can articulate business needs and translate them into technology solutions.