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Software Developer 2 — Backend Microservices & Applied AI
Eliassen Group
13 hours ago
Full-time
On-site
Englewood 80151, United States
$40 - $50 USD hourly
Description
Hybrid 4 onsite / 1 work from home in Englewood, CO
Our client is seeking a Software Developer 2 focused on backend microservices and applied AI. The role splits time between core backend engineering and running proofs of concept on internally built AI tools, as well as building AI-powered tooling that accelerates engineering delivery.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $40.00 to $50.00/hr. w2
Responsibilities
Hybrid 4 onsite / 1 work from home in Englewood, CO
Our client is seeking a Software Developer 2 focused on backend microservices and applied AI. The role splits time between core backend engineering and running proofs of concept on internally built AI tools, as well as building AI-powered tooling that accelerates engineering delivery.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $40.00 to $50.00/hr. w2
Responsibilities
- Design, build, and enhance backend microservices and REST APIs that are reliable, observable, and production-grade.
- Run structured POCs on internally built AI tools and evaluate them against real workflows, providing feedback into the roadmap.
- Build AI-powered tools and services, including RAG applications, LLM-backed APIs, and lightweight agentic workflows.
- Integrate LLM capabilities into existing services, including retrieval, prompt design, and grounding or guardrail checks.
- Partner with senior engineers and product teams to translate promising AI techniques into shippable features.
- Write clean, tested code and contribute to CI/CD, deployment, and monitoring.
- 3+ years building production backend services in Java and Spring Boot or comparable stacks, with strong understanding of microservices and REST API design.
- Hands-on exposure to applied GenAI such as LLM APIs, RAG pipelines, or agentic frameworks including LangChain, LlamaIndex, or major LLM providers.
- Working knowledge of Python.
- Experience with containerization and cloud deployment using Docker and Kubernetes or ECS on AWS or Azure.
- Comfort with CI/CD and automated testing using tools such as JUnit or pytest and platforms like GitLab, Harness, or Jenkins.
- Familiarity with vector stores or semantic search such as ChromaDB, pgvector, FAISS, or OpenSearch.
- Curious and self-driven, comfortable prototyping quickly and learning in public.
- Nice to have: event-driven architecture with Kafka, LLM guardrails, MLOps exposure, caching and observability tooling, and advanced degree or published ML or AI work.