Website:
alphasqmax.com
Job details:
This role is with one of our client which is a Funded SaaS Based Start-up.
As a Senior GenAI Engineer, you will own the AI layer of the product, building intelligent, production-grade features that enterprise customers rely on daily.
This is not a research-only or prompt-engineering role. The expectation is to build robust AI systems in production, where reliability, observability, latency, fallback handling, and rigorous evaluation frameworks matter as much as model performance.
You will own the entire AI vertical end-to-end — model layer, orchestration pipelines, evaluation systems, and user-facing interfaces.
Job Description:
- Build and own CS Copilot, a real-time AI assistant for customer success teams covering:
- Speech-to-text pipelines
- Live transcription
- LLM-powered contextual suggestions
- Build LLM-powered document intelligence capabilities to extract structured, reliable data from complex unstructured enterprise documents
- Own AI feature UI workflows end-to-end, including interface implementation and model integration
- Design and maintain a robust evaluation framework to define success metrics, benchmark quality, and catch regressions proactively
- Drive model selection and integration decisions, balancing performance, latency, scalability, and cost
- Own AI platform reliability, including observability, graceful degradation, retry/fallback logic, and failure handling
- Collaborate closely with Product, Customer Success, and Full-Stack Engineering teams to ensure AI features are highly usable, trusted, and impactful for enterprise users
The Impact You'll Make:
- You will define what AI means at Zenskar — the features you ship will be the most visible and differentiated parts of the product
- CS Copilot, if done well, changes how enterprise customer success teams operate every single day — this is a high-stakes, high-visibility surface
- You will establish the engineering culture around AI reliability at Zenskar — evals, observability, and disciplined iteration
- Your work will directly accelerate enterprise deals — AI features are increasingly a buying criterion for our clients
- You will be the person who brings engineering rigour to a domain where most companies ship demos and call it a feature
Ideal Candidate:
- Strong Senior GenAI / AI Backend Engineer Profiles
- Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
- Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
- Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
- Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
- Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
- Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
- Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
- Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
- Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
- Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
- Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
- Preferred (Skill) – Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)
- Preferred (Frontend) – Basic ability to build or contribute to frontend (React or similar)
- Highly Preferred (Education) – Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)
Perks, Benefits and Work Culture:
- Variable: Based on performance
- ESOPs (for full time roles)
Benefits (for full-time roles):
- Health insurance
- Generous vacation policy
- Learning and development budget
- Team events and company offsites
- Maternity and Paternity benefits
- Company Laptop
- Friday game nights
You can also share your resume at hr@alphasqmax.com
Click on Apply to know more.