What are the responsibilities and job description for the Senior AI Software Engineer position at Inbenta?
What is Inbenta AI
Inbenta makes AI simple for business. We transform your fragmented data into a dynamic knowledge layer to automate operations and make every customer and employee interaction meaningful, trusted, and built for growth.
Why We Need You
Our applications are built on Custom NLP, Python, Postgres, Node.js, Next.js, TypeScript, and LLMs via agents, among other technologies. We already have a team of strong developers who can ship features in TypeScript. Now, we need Full Stack engineers with significant backend experience specializing in data automation, optimization, security, and building AI-driven backend engines. You’ll help shape the reliability, scalability, and security of our systems, ensuring our foundation is built to win as we scale.
What You’ll Do
Inbenta makes AI simple for business. We transform your fragmented data into a dynamic knowledge layer to automate operations and make every customer and employee interaction meaningful, trusted, and built for growth.
Why We Need You
Our applications are built on Custom NLP, Python, Postgres, Node.js, Next.js, TypeScript, and LLMs via agents, among other technologies. We already have a team of strong developers who can ship features in TypeScript. Now, we need Full Stack engineers with significant backend experience specializing in data automation, optimization, security, and building AI-driven backend engines. You’ll help shape the reliability, scalability, and security of our systems, ensuring our foundation is built to win as we scale.
What You’ll Do
- Build secure, production-grade applications and automations that interact with LLMs and agent frameworks.
- Strengthen our systems with robust authentication, encryption, and compliance practices.
- Architect APIs and backend flows for high reliability and efficiency.
- Collaborate directly with founders and engineers to bring ambitious ideas to life.
- Help define product direction by shaping how our platform handles data, memory, and intelligence.
- Architect and implement end-to-end AI software solutions, from feasibility studies and prototyping to production-ready systems.
- Collaborate with data scientists to transition machine learning models from research/development into production environments using APIs and microservices.
- Collect, analyze, and preprocess large datasets to train and refine AI models, ensuring data quality and relevance.
- Conduct rigorous testing, debugging, and performance optimization of AI models and applications, and implement continuous monitoring (MLOps) to ensure scalability and reliability.
- Work closely with cross-functional teams (e.g., data scientists, product managers, business stakeholders) to define AI product features, align on goals, and communicate complex technical concepts to non-technical audiences.
- Stay current with the latest AI advancements and emerging technologies (e.g., Generative AI, LLMs) and recommend new strategies or improvements to existing systems.
- 7 years of Full Stack engineering experience (with at least 2 years in data/security-heavy environments).
- Strong Python and TypeScript (Next and Node.js) skills and hands-on experience with PostgreSQL optimization (NLP experience desired).
- Proven track record in backend security (auth, RBAC, secure API design, encryption).
- Experience deploying in modern cloud/serverless environments (AWS, GCP, AZURE).
- Comfortable working in fast-paced, high-energy environments.
- Hands-on experience with LLM frameworks (LangChain, AutoGen, ReAct-style orchestration) - either in production systems or through personal projects/demos.
- Experience with vector databases (Pinecone, Weaviate, Qdrant).
- Redis for caching, queues, pub-sub.
- Prisma or Drizzle ORM.
- GraphQL or tRPC for API design.
- Exposure to compliance frameworks (SOC2, GDPR, HIPAA).
- High-trust, high-speed culture — no politics, fluff, or micromanagement.
- Competitive pay tied to experience and performance.
- Leadership opportunities as we scale.
- A chance to help shape products and our company culture.