QX Impact
Website:
qximpact.com
Job details:
About QX
The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't be able to deliver differentiated products/services; and finally, without insights, businesses cant achieve a new level of Operational Excellence is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.
Job Summary
We are looking for a senior engineer to design, build, and ship production Generative AI systems that our customers depend on. You will own applications end to end from architecture and data flow through deployment, evaluation, and iteration and you will be measured by the reliability and impact of what you put into production, not by prototypes.
This is a software engineering role at its core. The strongest candidates are excellent engineers who have shipped and operated real systems at scale, and who apply LLMs, retrieval, and agents as tools to solve concrete problems in finance, supply chain, and manufacturing.
Key Responsibilities
- Design, build, and ship production GenAI applications end to end owning architecture, data flow, deployment, evaluation, and iteration.
- Write clean, well-tested Python and build robust backend services and APIs (FastAPI/Flask) that serve LLM-powered features reliably at scale.
- Build retrieval and agentic systems: RAG pipelines over structured and unstructured data, tool-calling agents, and multi-agent workflows using frameworks such as LangGraph, CrewAI, or Semantic Kernel.
- Turn brittle, prompt-driven prototypes into reliable, code-based workflows backed by evaluation harnesses, guardrails, and measurable quality.
- Design schema-aware natural-language-to-SQL and other structured-data interfaces with query validation and safeguards against unsafe or destructive operations.
- Own reliability in production: CI/CD, versioning, monitoring, observability, and rollback under real traffic.
- Integrate solutions with enterprise systems (ERP/MES/data warehouses) and downstream BI and collaboration tools.
- Set technical direction and raise the engineering bar through design reviews, code reviews, and mentorship.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, AI Engineering, or a related quantitative field.
- 4+ years of professional software engineering experience, including software design, architecture, and shipping production-grade systems.
- Proven record of building and operating software or AI systems in production with real users.
- Strong programming ability in Python, with solid fundamentals in API design, testing, version control, and system design.
- Hands-on experience building applications with LLMs, including embeddings, retrieval-augmented generation (RAG), and evaluation.
Preferred Qualifications
- Experience building agentic and multi-agent systems (LangGraph, CrewAI, AutoGen, or Semantic Kernel) and patterns such as ReAct, tool-calling, and self-reflection.
- Strong SQL and structured-data skills: query optimization over large, complex schemas, natural-language-to-SQL, and analytics workflows that produce reliable structured outputs.
- Experience deploying and scaling on a major cloud AWS, GCP, or Azure; equivalent experience across providers is valued equally. Docker/Kubernetes, managed AI hosting (SageMaker, Vertex AI, Azure ML), and identity-based (secret-less) auth.
- Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, or Chroma) and building embeddings pipelines.
- Conceptual understanding of transformer architectures, attention, and tokenization as they inform practical design decisions.
- Experience integrating GenAI into enterprise systems and BI/collaboration tools; domain background in finance, supply chain, or manufacturing.
Competencies
- Tech Savvy : Anticipating and adopting innovations in business-building digital and technology applications.
- Self-Development : Actively seeking new ways to grow and be challenged using both formal and informal development channels.
- Action Oriented : Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
- Customer Focus : Building strong customer relationships and delivering customer-centric solutions.
- Optimize Work Processes : Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Application Details
Ready to make an impact? Apply today and become part of the QX Impact team!
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