Senior Backend Engineer

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 Role: Python Developer

Experience: 6 to 10 Years

Location: Bangalore

Responsibilities:

• Develop, test, and deploy Python applications.
• Build and maintain front-end components using JavaScript, jQuery, HTML, and CSS.
• Collaborate with teams to implement new features and optimize systems.
• Ensure code quality, security, and performance.

Required Skills:

• Strong Python experience (Django, Flask, or FastAPI).
• Proficiency in JavaScript, jQuery, HTML, CSS.
• Experience with relational databases (PostgreSQL, MySQL) and Git.
• Strong problem-solving and communication skills.
• Bonus: RESTful APIs, AWS/Azure, CI/CD pipelines.

• Participate in requirements analysis and design 
• Development of Web applications and RESTful APIs using C#, .NET Core, ASP.NET Core, .NET Framework 4.7, C#, ASP.NET MVC, LINQ, Entity Framework 6.0, EF Core
• Development of Microservices using Clean Architecture, CQRS, .NET Design Patterns, SOLID Principles and Object-oriented design & analysis (OOA & OOD)
• Development of Microservices using Microsoft Azure or AWS, Dockers and Kubernetes
• Write clean, scalable code using .NET programming languages (C#)
• Write Microsoft SQL queries and optimize both external and internal DB processes and procedures.
• Use automation tools, following CI/CD best practices in an established DevOps team.
• Write unit and integration tests using Moq
• Collaborate with internal teams to produce software design and architecture
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support  

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus

We are seeking extremely smart programmers who are gung ho about building large scale systems that are going to have a big impact on millions of customers.

Responsibilities:

• Design and develop products by working closely with business team.
• Gain experience with hands on coding and independent ownership of software components.
• Build performant, scalable, enterprise ready back end architectures that can support millions of users in parallel.
• Follow strong engineering best practices and champion their adoption.

Requirements:

• 2+ years’ experience in software product development and delivery.
• Bachelors or Masters degree in engineering from a reputed institute(preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem solving abilities.
• All experience should be from good product development or e-commerce background.
• Must have shown good stability in all your previous associations.
• Have strong backend knowledge and cloud development exposure.
• Expert at Java, Spring boot, Hibernate, REST API development.
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus.
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place.
• Writing high quality code which is made better by unit tests and integration tests is how you work.
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few.
• Knowledge of test driven development and AWS tech stack will be a good plus.

Role- Node.js Developer

Job description:

- Nodejs), MySQL, Postgre SQL
- Working experience of GIT
- Will prefer candidates preferred who have knowledge of GraphQL, Typescript
 - Well versed and experienced with unit testing, code coverage.
- Well versed with SOILD design principles and its application
- Good to have – some experience with Azure devops and/or azure functions.
- Good knowledge of designing and writing restful API