Generative AI Software Lead
First seen by Alion on Aug 28, 2026.
Job Overview:
Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.
Key Responsibilities:
- Design, develop, and maintain scalable backend services and APIs using NodeJS and Python.
- Build event-driven architectures using RabbitMQ and Kafka for real-time data processing.
- Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing.
- Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows.
- Design AI-powered features such as recommendation systems, document processing, or conversational interfaces.
- Ensure system reliability, security, and low-latency performance for mission-critical systems.
- Lead technical design discussions, conduct code reviews, and mentor junior engineers.
- Optimize database queries, implement caching strategies, and improve overall system performance.
- Collaborate with cross-functional teams to deliver end-to-end product features.
- Implement monitoring, logging, and observability solutions.
Required Skills and Qualifications:
- 2+ years of professional backend development experience.
- Strong expertise in NodeJS and Python for production-grade applications.
- Proven experience building RESTful APIs and microservices architectures.
- Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering).
- Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics).
- Strong proficiency in PostgreSQL, including query optimization and schema design.
- Hands-on experience with RabbitMQ and Kafka.
- Experience with BigQuery or similar data warehousing solutions.
- Solid understanding of distributed systems, scalability patterns, and high-traffic applications.
- Strong knowledge of authentication, authorization, and security best practices.
- Experience with Git, CI/CD pipelines, and modern development workflows.
- Excellent problem-solving and debugging skills.
- Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus.
Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351
Skills
Node.js, Python, Javascript, AI Integration, Generative AI, RESTful API, Microservices Architecture, Backend Architecture