Xenspire
https://xenspire.comAbout
At Xenspire Group, we are on a mission to revolutionize the hiring and talent industry through science, technology, and a deep understanding of our clients' needs.
Our global talent solutions are designed to foster growth and innovation across multiple sectors, making us a trusted partner for enterprises and individuals alike.
We prioritize the personal touch in every interaction, ensuring a smooth, transparent journey for job seekers while empowering companies to find the right talent quickly. By revolutionizing the way we connect, we are building a future where hiring is effortless, intuitive, and focused on mutual success.
Stay updated with our latest insights on #workforceoptimization, #talentsolutions, #innovation, #salesops #revops #socialresponsibility, and the #futureofwork.
Together, let's build a brighter future!
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Hyderabad, hybrid
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Jobs at Xenspire
Python
JavaAbout the company:
At Xenspire Technologies Pvt. Ltd., we are building People-First AI products—AI that augments human decision-making, reduces cognitive load, and earns trust through transparency, control, and reliability.
As a Lead Engineer in the Founding Engineering Team, youʼll help set the technical direction and build the core systems that everything else will run on—product architecture, engineering standards, and AI-first capabilities embedded into real workflows. This is a challenging environment: short feedback loops, meaningful ownership, and problems that donʼt come with a playbook.
If you like shipping fast, thinking deeply, and building systems that scale from day one, youʼll fit right in.
What Youʼll Do:
- Build and own core systems (web + backend + data) from scratch—designed to scale.
- Develop People-First AI capabilities: copilots, semantic search, automated workflows, and decision support—designed with guardrails, explainability, and human-in-the-loop controls.
- Drive architecture decisions: APIs, database design, eventing, caching, security basics, observability, and performance.
- Convert ambiguous business needs into clean product experiences with strong engineering discipline.
- Establish engineering standards: code quality, reviews, CI/CD, testing strategy, release readiness.
- Mentor engineers through example—this is a hands-on role, not a coordination role.
- Partner closely with founders/product/design; make trade-offs and ship outcomes, not just output.
What Weʼre Looking For:
- 5–8 years building production-grade software, ideally in product companies or high-growth startups.
- Strong expertise in Backend: Python/Java, APIs, scalability patterns Databases: PostgreSQL/MySQL + one NoSQL/search system (Elastic/OpenSearch/Vector DB is a plus)
- Proven experience building platforms/products from zero 1, then stabilizing for scale.
- Practical AI experience (not just demos): LLM integrations, prompt/tooling patterns, evaluation, safety/guardrails RAG/semantic search, embeddings, vector stores, reranking, data pipelines
- High ownership mindset; comfortable with ambiguity, tight timelines, and strong accountability.
- Strong communication—clear docs, crisp decisions, visible trade-offs.
- Experience working on SAAS Products or SAAS platforms
Nice to Have:
- Multi-tenant SaaS experience, RBAC, audit logs, and security-first design patterns.
- Cloud familiarity: AWS/GCP/Azure, containers, basic infra-as-code, observability tooling.
- Experience shipping AI features with measurable quality (latency, accuracy, cost, adoption)
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