About the Role
VERSA AI is hiring a Senior Software Engineer to help architect, build, and scale the core systems powering our conversational AI platform. This is a high-impact role with deep ownership across inference services, backend APIs, and supporting infrastructure.
You will operate as a "FullStack" engineer, bridging R&D and production by designing low-latency, high-throughput systems that serve large language models in real time. The role is weighted toward backend and systems work, with the remaining scope focused on enabling product features and user-facing integrations.
This position is not UI-heavy maintenance work. You will directly influence architectural decisions, production reliability, and the efficiency of our AI systems while collaborating closely with conversation designers and other members of the engineering team.
Who we are looking for
We are looking for a senior engineer who thrives in ambiguity and values ownership. You are motivated by foundational problems rather than incremental feature work and are excited by the opportunity to shape the technical core as we scale.
You have strong distributed systems instincts, care deeply about performance and reliability, and are comfortable operating across the stack when needed. You are equally effective collaborating with researchers to productionise models as you are designing APIs or optimising infrastructure. You value craftsmanship, move with urgency, and understand the leverage that early architectural decisions create.
Required Experience
* 7+ years of professional software engineering experience with a demonstrated history of shipping high-quality production systems
* Strong proficiency in software design patterns and methodologies (DDD, TDD, SOLID, clean architecture, etc), spec-driven AI development practices (AI-DLC), structured prompt engineering, and responsible AI design standards.
* Deep experience building and operating distributed systems, including low-latency REST and GraphQL APIs, event-driven microservices, and fault-tolerant backend infrastructure
* Hands-on experience with AWS services (e.g., Lambda, ECS/EKS, API Gateway, S3, RDS, SQS/SNS) and Infrastructure-as-Code (IaC) tools such as AWS CDK, CloudFormation, Terraform, Pulumi, etc.
* Experience integrating or deploying LLMs, NLP systems, or other high-throughput AI/ML workloads in production environments, including model orchestration and lifecycle management
* Experience with vector databases (e.g., Pinecone, Marqo, Weaviate, pgvector) and RAG-style architectures for context-aware AI applications
* Strong understanding of Git principles, branching models (e.g., GitFlow, trunk-based development), access management, and cybersecurity best practices including OWASP, secrets management, and zero-trust principles
* Solid working knowledge of Node.js and TypeScript frameworks (Express, Fastify, NestJS, React, Next.js) for building robust features and internal tooling
* Demonstrated ability to write clean, well-tested, and well-documented code with strong code review practices and a commitment to engineering excellence
* Experience collaborating cross-functionally with ML engineers, product managers, and infrastructure teams to deliver complex technical initiatives
Nice to have
* Experience with Azure and hybrid cloud environments
* Experience with PostgreSQL databases and relational data modeling; familiarity with data analysis and BI tools such as Apache Superset
* Experience with event-driven architecture (EDA) using tools such as NATS, Kafka, AWS EventBridge, or similar messaging systems
* Working knowledge of Python and its ecosystem, including frameworks such as Flask, FastAPI, LangChain, and data processing libraries (Pandas, NumPy, etc)
* Familiarity with observability and monitoring tools (e.g., OpenTelemetry, CloudWatch, Grafana ecosystem) for production system reliability
* Experience with containerization and orchestration technologies (Docker, Kubernetes)
* Exposure to CI/CD pipeline design and DevSecOps practices
The benefits
* Be part of a fast-growing start-up with a dynamic and innovative culture.
* Opportunity for significant professional growth and career advancement, including helping to build and mature a key customer-facing engineering function.
* Highly flexible work environment with a remote-first company.
We believe that diversity is critical to our success. We will not discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
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