CBTS · 3 hours ago
Agentic AI Developer - Enterprise .NET Python Apps
CBTS is searching for a Senior Software Engineer for our AI Research & Solutions group, where you will be a seasoned contributor building the core systems that power enterprise AI agents. The role involves developing agentic applications, ensuring quality and reliability, optimizing performance, and collaborating with cross-functional teams.
Responsibilities
Agentic Application Development Build Agent Components:
Design and implement production-grade components for AI agents—tools, orchestration logic, memory systems, and integrations with enterprise data sources
You may work with Elixir/OTP (GenServers, Supervisors, Phoenix) as we evaluate it for our agent infrastructure
Quality & Reliability: Own the quality of your deliverables, writing robust, well-tested code that operates reliably in production environments
Performance Optimization: Profile and optimize agent behavior, API latencies, and resource consumption to meet enterprise-scale demands
Integration & Systems Thinking
Bridge Systems: Develop connective tissue between AI agent backends and the OutSystems low-code platform, ensuring seamless data flow and secure API contracts
Abstraction Design: Contribute to the design of software abstractions that enable agents to reason about and interact with complex legacy systems and modern architectures alike
Cross-Functional Delivery: Collaborate with researchers, product managers, and platform engineers to translate requirements into working solutions
Mentorship & Technical Growth
Mentor Junior Engineers: Support the growth of engineers through code reviews, pairing sessions, and knowledge sharing
Continuous Learning: Stay current with advances in agentic AI, LLM orchestration frameworks, and systems engineering practices
Documentation: Contribute to internal best practices, architecture decision records, and onboarding materials
Qualification
Required
5+ years of experience building production software, with demonstrated ability to own and deliver complex features end-to-end
5+ years of Python Application development with Django Framework and ability to write clean, maintainable, and performant code
AI/ML Systems Exposure
Practical experience working with LLMs, AI agents, or ML systems—whether in industry, research, or open-source projects
Experience designing and consuming REST/gRPC APIs; understanding of distributed systems patterns (queues, event-driven architectures, microservices)
Working knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, or GCP)
Hands-on experience with Elixir and OTP patterns—GenServers, Supervisors, Applications, and Phoenix
We value candidates from research backgrounds—whether you completed a PhD, contributed to open-source projects during your studies, or built software to support your research in mathematics, physics, philosophy, or computational sciences
If you've written code that models complex systems—whether that's physics simulations, formal logic systems, or distributed algorithms—we want to hear from you
Experience with low-level network code, forwarding plane implementations, packet processing, or socket programming
Experience with functional languages (Elixir, Erlang, Haskell, OCaml, F#) and their approaches to concurrency and reliability
Hands-on experience with LangChain, Semantic Kernel, or similar agent orchestration frameworks
Familiarity with OutSystems or similar platforms and their integration patterns
Company
CBTS
CBTS provides end-to-end IT and communications solutions that allow businesses to improve efficiency, enable innovation, and mitigate risk.
H1B Sponsorship
CBTS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2024-02-06Acquired
Recent News
Business Wire
2026-01-16
2025-11-04
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