Build the software
the future runs on.
We engineer category-defining systems - AI audio operating systems, Bayesian intelligence engines, platforms that carry entire industries. If you want your next commit to be something that has never existed before, this is where you make it.
Why engineers stay here
Frontier, not maintenance
You will not babysit legacy tickets. You will build LLM pipelines, Bayesian intelligence engines, generative media platforms and systems that did not exist until we shipped them - like Sonic Hub, the world’s first end-to-end AI audio OS.
Architecture for the decade
We design for our clients’ future, not just their brief - systems whose architecture absorbs tomorrow’s requirements without a rewrite. You learn to think ten years out, on every build.
Your work runs in production
Everything here ships and stays live - for enterprises in Germany, Singapore, the US and India. No throwaway demos. Millions of real users hit the code you write.
Ownership, end to end
We hand your responsibility to you - you decide how you deliver your expertise. Small senior team, no hand-offs, no telephone: the person who architects the system writes and runs it.
Balance, by design
Policies built so you spend as much time with your family as with the GoPhygital family - plus workshops, events and a team that genuinely enjoys the work.
Open roles
What we look for: passion, enthusiasm, creative thinking and the ability to solve problems nobody has solved yet.
AI ENGINEERINGAI Orchestration Engineer
Design the nervous system of our AI products - multi-agent pipelines, tool-calling, RAG and eval loops that run in production.
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AI Orchestration Engineer
Design the nervous system of our AI products - multi-agent pipelines, tool-calling, RAG and eval loops that run in production.
- Architect multi-agent and LLM orchestration pipelines: routing, tool-calling, retrieval, guardrails and fallbacks.
- Build RAG systems over enterprise data with grounding, citations and auditability.
- Design evaluation harnesses and monitoring so model quality is measured continuously, not assumed.
- Optimise latency and cost across model providers; own pre-computation and caching strategies.
- Work directly with clients’ domain experts to turn tribal knowledge into agentic workflows.
- 3+ years backend engineering (Python preferred); production experience with LLM APIs or frameworks.
- Hands-on with vector stores, embeddings and prompt/context engineering.
- You think in systems: retries, idempotency, observability come naturally.
AI ENGINEERINGAI Model Fine-Tuning Engineer
Take open and frontier models past their defaults - fine-tuning, distillation and alignment for domain-specific intelligence.
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AI Model Fine-Tuning Engineer
Take open and frontier models past their defaults - fine-tuning, distillation and alignment for domain-specific intelligence.
- Fine-tune and adapt LLMs and speech/vision models (LoRA/QLoRA, SFT, DPO/RLHF) for client domains.
- Build data pipelines: curation, labelling workflows, synthetic data generation and quality gates.
- Distil large models into fast, deployable ones without losing the behaviour that matters.
- Own training infrastructure - GPUs, experiment tracking, reproducibility.
- Benchmark rigorously against real business metrics, not leaderboard scores.
- Solid ML fundamentals plus PyTorch experience; you have actually trained models, not just called APIs.
- Comfort with distributed training and inference optimisation (quantisation, batching).
- Scientific honesty - you report what the eval says, not what the demo shows.
CYBERSECURITYRed Team Security Engineer
Attack our systems before anyone else can - offensive security across cloud, applications and AI attack surfaces.
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Red Team Security Engineer
Attack our systems before anyone else can - offensive security across cloud, applications and AI attack surfaces.
- Run red-team engagements against our platforms: web, mobile, APIs, cloud infrastructure and CI/CD.
- Probe AI-specific attack surfaces - prompt injection, jailbreaks, data exfiltration through model outputs, RAG poisoning.
- Build adversarial test suites that run continuously in the pipeline, not once a year.
- Write findings engineers actually fix: reproducible, prioritised, with the patch path mapped.
- Harden GDPR-aligned architectures for enterprise clients in DE, SG, US and IN.
- Proven offensive security background (OSCP or equivalent experience); scripting fluency.
- Understanding of LLM application architecture and where it breaks.
- Attacker’s creativity, engineer’s discipline.
INFRASTRUCTURECloud & DevOps Engineer
Own multi-region architecture, CI/CD and observability for AI systems serving global enterprises.
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Cloud & DevOps Engineer
Own multi-region architecture, CI/CD and observability for AI systems serving global enterprises.
- Design and run multi-region cloud architecture on AWS, GCP and Azure for production AI workloads.
- Build CI/CD pipelines that take a merge to production in minutes, with rollbacks nobody thinks about.
- Wire observability - metrics, traces, alerts - to what the business cares about.
- Manage GPU and inference infrastructure with cost discipline.
- Own security posture: least-privilege by default, audited before anyone asks.
- 3+ years DevOps/SRE; Terraform and at least one major cloud in production.
- On-call maturity - you have carried a pager and improved what woke you up.
- You treat infrastructure as a product, not an afterthought.
PRODUCT ENGINEERINGReact JS / React Native Developer
Ship consumer-grade interfaces for AI products - web and mobile, from one senior team.
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React JS / React Native Developer
Ship consumer-grade interfaces for AI products - web and mobile, from one senior team.
- Build web and mobile interfaces for AI products - streaming responses, real-time state, offline resilience.
- Ship weekly across iOS, Android and web from a shared codebase where it makes sense.
- Own performance: cold start, bundle size, jank - measured, not guessed.
- Work design-adjacent: what you build is pixel-for-pixel what was signed off.
- Integrate LLM and speech APIs with graceful degradation.
- Strong React + TypeScript; React Native production experience.
- You sweat interaction details and know when native beats cross-platform.
- Portfolio of shipped, live products.
PLATFORM ENGINEERINGJava Developer
Build the backbone: enterprise platforms and APIs engineered to run for a decade.
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Java Developer
Build the backbone: enterprise platforms and APIs engineered to run for a decade.
- Design and build enterprise platform services - APIs, workflow engines, integration layers.
- Engineer for the future: modular architecture with extension points, so client growth never means a rewrite.
- Own data modelling and transactional integrity for systems that cannot lose a record.
- Write clean, documented, versioned interfaces other teams build on.
- Modernise legacy systems incrementally - strangler-fig, not big-bang.
- 4+ years Java/Spring in production; SQL depth; message queues and caching.
- Experience with systems that survived years of change.
- You document because future-you is a colleague.
GROWTHBusiness Development Manager
Take category-defining products to enterprises across DE, SG, US and IN.
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Business Development Manager
Take category-defining products to enterprises across DE, SG, US and IN.
- Own the pipeline for bespoke software and AI engagements across our four markets.
- Translate frontier capability - LLM systems, generative media, intelligent platforms - into business outcomes buyers understand.
- Build long-run relationships: our average client engagement is measured in years.
- Work with engineering leadership on proposals that are honest about scope and timeline.
- Represent GoPhygital at industry events and with partner networks.
- Track record selling complex software or engineering services to enterprises.
- Technical fluency - you can hold the room with a CTO.
- Passion, enthusiasm, creative thinking, problem solving.
Govt. Industrial Estate
Charkop, Kandivli (W)
Mumbai 400 067, India