Our client, a Financial firm, is seeking a Python Developer experienced in Gen AI to join them for a hybrid onsite Contract-to-Perm engagement.
*****Must come from a Financial Background****
This role sits within a high-impact engineering group focused on building production-grade Generative AI capabilities, not experiments or one-off demos. The team is developing AI-driven tools that help internal professionals interact with large volumes of structured and unstructured data in a secure, governed way.
The initial focus is on knowledge-centric AI systems think intelligent assistants and search experiences powered by retrieval, graph-based reasoning, and modern LLM orchestration. Over time, the scope expands into broader enterprise AI initiatives.
This is a hands-on role for a senior-level engineer who enjoys designing systems end to end and working closely with product, data, and platform teams.
What You ll Be Working On
- Designing and building retrieval-based AI services that combine vector search, graph relationships, and LLM reasoning
- Developing backend services in Python, exposing AI capabilities through well-structured APIs
- Implementing agent-style workflows where models reason, retrieve context, call tools, and return explainable results
- Working with knowledge graphs and vector databases to support complex queries across enterprise data
- Integrating AI services with existing platforms and datasets (both relational and unstructured)
- Taking solutions from design through deployment with a focus on scalability, reliability, and observability
How You ll Work
- Partner closely with engineering, data, and business stakeholders to turn real-world problems into AI-powered solutions
- Follow strong engineering practices around testing, CI/CD, monitoring, and version control
- Build systems that respect security, compliance, and responsible AI guidelines from day one
- Contribute to architectural decisions and help shape standards for GenAI development across the organization
What They re Looking For
- 10+ years of software engineering experience, with deep hands-on ownership of complex systems
- Strong Python background, including building and maintaining backend APIs (FastAPI or similar)
- Proven experience with RAG-style architectures, including GraphRAG or graph-enhanced retrieval approaches
- Hands-on work with LLMs, embeddings, vector databases, and knowledge representations
- Comfort deploying services in cloud environments using containers and modern DevOps practices
- Ability to explain technical concepts clearly to both technical and non-technical audiences
- Experience in regulated or data-sensitive environments is a strong plus
Never miss an opportunity! Create an alert based on the job you applied for.
