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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 OptimizeGEO
OptimizeGEO.ai is our flagship product that helps brands stay visible and discoverable in AI-powered answers. Unlike traditional SEO that optimizes for keywords and rankings, OptimizeGEO operationalizes GEO principles ensuring brands are mentioned, cited, and trusted by generative systems (ChatGPT, Gemini, Perplexity, Claude, etc.) and answer engines (featured snippets, voice search, and AI answer boxes).
Founded by industry veterans Kirthiga Reddy (ex-Meta, MD Facebook India) and Saurabh Doshi (ex-Meta, ex-Viacom), Company is backed by Micron Ventures, Better Capital, FalconX, and leading angels including Randi Zuckerberg, Vani Kola and Harsh Jain.
Role Overview
We are hiring a Senior Backend Engineer to build the data and services layer that powers OptimizeGEO’s analytics, scoring, and reporting. This role partners closely with our GEO/AEO domain experts and data teams to translate framework gap analysis, share-of-voice, entity/knowledge-graph coverage, trust signals into scalable backend systems and APIs.
You will design secure, reliable, and observable services that ingest heterogeneous web and third-party data, compute metrics, and surface actionable insights to customers via dashboards and reports.
Key Responsibilities
- Own backend services for data ingestion, processing, and aggregation across crawlers, public APIs, search consoles, analytics tools, and third-party datasets.
- Operationalize GEO/AEO metrics (visibility scores, coverage maps, entity health, citation/trust signals, competitor benchmarks) as versioned, testable algorithms.
- Data Scaping using various tools and working on volume estimates for accurate consumer insights for brands
- Design & implement APIs for internal use (data science, frontend) and external consumption (partner/export endpoints), with clear SLAs and quotas.
- Data pipelines & orchestration: batch and incremental jobs, queueing, retries/backoff, idempotency, and cost-aware scaling.
- Storage & modeling: choose fit-for-purpose datastores (OLTP/OLAP), schema design, indexing/partitioning, lineage, and retention.
- Observability & reliability: logging, tracing, metrics, alerting; SLOs for freshness and accuracy; incident response playbooks.
- Security & compliance: authN/authZ, secrets management, encryption, PII governance, vendor integrations.
- Collaborate cross-functionally with domain experts to convert research into productized features and executive-grade reports.
Required Qualification (Must Have)
- Familiarity with technical SEO artifacts: schema.org/structured data, E-E-A-T, entity/knowledge-graph concepts, and crawl budgets.
- Exposure to AEO/GEO and how LLMs weigh sources, citations, and trust; awareness of hallucination risks and mitigation.
- Experience integrating SEO/analytics tools (Google Search Console, Ahrefs, SEMrush, Similarweb, Screaming Frog) and interpreting their data models.
- Background in digital PR/reputation signals and local/international SEO considerations.
- Comfort working with analysts to co-define KPIs and build executive-level reporting.
Expected Qualifications
- 4+ years of experience building backend systems in production (startups or high-growth product teams preferred).
- Proficiency in one or more of: Python, Node.js/TypeScript, Go, or Java.
- Experience with cloud platforms (AWS/GCP/Azure) and containerized deployment (Docker, Kubernetes).
- Hands-on with data pipelines (Airflow/Prefect, Kafka/PubSub, Spark/Flink or equivalent) and REST/GraphQL API design.
- Strong grounding in systems design, scalability, reliability, and cost/performance trade-offs.
Tooling & Stack (Illustrative)
- Runtime: Python/TypeScript/Go
- Data: Postgres/BigQuery + object storage (S3/GCS)
- Pipelines: Airflow/Prefect, Kafka/PubSub
- Infra: AWS/GCP, Docker, Kubernetes, Terraform
- Observability: OpenTelemetry, Prometheus/Grafana, ELK/Cloud Logging
- Collab: GitHub, Linear/Jira, Notion, Looker/Metabase
Working Model
- Hybrid-remote within India with limited periodic in-person collaboration
- Startup velocity with pragmatic processes; bias to shipping, measurement, and iteration.
Equal Opportunity
OptimizeGEO is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are seeking an exceptional Lead Shopify Developer to join our incredible team. You'll be a critical participant in projects working closely with designers, performance managers, our creative team, and the Technical Director. To optimize our Shopify Plus store. Fluency in HTML5 and JavaScript, experience with custom theme development, Shopify Plus experience, and familiarity with Next and React are essential. The ideal candidate would also be expected to help manage core Shopify platform integrations such as Klavyio, Zendesk, and other vital Shopify applications.
Qualifications:
Strong proficiency in Shopify Plus and Shopify Scripts
Experience with custom theme development for Shopify Plus (advanced customer fields experience)
Fluency in HTML5, CSS, JavaScript/jQuery Experience with Shopify app integrations (integrating third-party APIs)
Familiarity with Github
Strong understanding of SEO and web development Experience with Server and DNS management Understanding cross-browser compatibility problems and the ability to offer solutions
Experience with user testing and usability analysis
Familiarity with UX/UI concepts and best practices
Responsibilities:
Actively involved in all phases of the site development
Manage our Shopify Plus store Work with the marking team to create landing pages Change website content to improve the customer journey Help manage third-party integrations and applications Optimize page load times Resolve cross-browser issues (troubleshooting server and site issues)
Familiarity with design software such as Photoshop to customize visuals and media on sites Attend group meetings and offer recommendations to improve the optimization of customer journey and conversion
Communicate regularly with team members through channels such as Slack and Asana
Job Opening: Tech Manager
Company: Pixerize Inc.
Location: Remote
Job Type: Full-Time | Start Date: Immediate
About Pixerize
At Pixerize, we empower businesses to scale through strategic automation and streamlined operations. We're on a mission to simplify systems, optimize performance, and help businesses grow globally. Our tools and platforms are the foundation of our operations, and we’re looking for a technical leader to ensure they run flawlessly.
Role Overview
We're seeking a Tech Manager who will take ownership of our digital infrastructure—Wix, Webflow, Asana, and Monday.com—and integrate them using platforms like Zapier and other automation tools. Your primary goal is to build, connect, and manage the digital systems that support our leads and operations teams.
This is a hands-on role requiring strategic thinking, technical setup, and automation implementation to ensure every part of our tech stack is synchronized for optimal business efficiency.
Responsibilities
- Set up, configure, and manage Wix and Webflow websites.
- Build and optimize task and project workflows in Asana and Monday.com.
- Design and implement cross-platform integrations using Zapier, APIs, or other tools.
- Ensure seamless handoffs between lead generation, onboarding, and operational workflows.
- Maintain documentation and systems for updates, troubleshooting, and improvements.
- Provide support for internal teams using technical systems.
- Identify new automation opportunities to reduce manual work.
KPIs & Performance Metrics
- All tools integrated and functioning smoothly across departments.
- Automations running reliably, with minimal manual intervention.
- System uptime and issue resolution times.
- Improved workflow efficiency for leads and operations teams.
- Consistent onboarding and task management experience across departments.
Requirements
- 2+ years in a technical role managing digital platforms or tools.
- Strong knowledge of Wix, Webflow, Asana, Monday.com, and Zapier.
- Experience with automation platforms and third-party integrations.
- Attention to detail and ability to troubleshoot systems end-to-end.
- Clear documentation and communication skills.
- Problem-solver with a proactive mindset.
Nice to Have
- Basic coding or API experience.
- Experience in startup or scaling business environments.
- Familiarity with CRM or email marketing platform integrations.
Job Requirements:
- 4+ Years of proven work experience as a WordPress developer.
- Good experience in building custom WordPress themes, custom plugins and configuring content using custom fields.
- Extensive experience in HTML5, CSS3, JavaScript, and PHP.
- Experience using CSS Grid, CSS Flexbox
- Good Communication skills
Job Responsibilities:
-
Building the website front-end and back-end from scratch without using any page builders.
- Creating easy to use, intuitive, well-structured backend for content management.
- Writing SEO friendly, high performant code.
- Configuring server environments such as LEMP.
- Helping formulate an effective, responsive design and turning it into a working
- Designing and building the WordPress website front-end
- Creating the website architecture
- Designing and managing the website back-end including database and server integration
- Creating landing pages
- Generating WordPress themes and plugins
- Conducting website performance tests
- Troubleshooting content issues
- Monitoring the performance of the live website and improving it
- Work on SEO and Optimise continuously for website using Google Analytics
- Assist in Social Media Management and Email Marketing
- Stay updated with latest web technologies, SEO Tools and Website optimising tools and widgetss
- Managing Social Media Management Tools
- Designing and building the WordPress website front-end
- Creating the website architecture
- Designing and managing the website back-end including database and server integration
- Creating landing pages
- Generating WordPress themes and plugins
- Conducting website performance tests
- Troubleshooting content issues
- Monitoring the performance of the live website and improving it
- Work on SEO and Optimise continuously for website using Google Analytics
- Assist in Social Media Management and Email Marketing
- Stay updated with latest web technologies, SEO Tools and Website optimising tools and widgets
- Managing Social Media Management Tools











