Software Developer 2 — Backend Microservices & Applied AI

Eliassen Group

Englewood (CO)

Hybrid

USD 50,000 - 63,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental, Vision benefits
401k with company matching
Life insurance

Job summary

Eliassen Group is seeking a Software Developer 2 in Englewood, CO for backend microservices and applied AI. You will split time between core backend work and running POCs on internal AI tools, plus building AI-powered tooling to accelerate engineering delivery.

Must be comfortable with W2 employment and remote/hybrid work in Colorado. Expect a rate of $36–$46/hr with benefits, 401k matching, and life insurance as part of a comprehensive package.

Qualifications

  • 3+ years building production backend services in Java and Spring Boot.
  • Hands-on exposure to applied GenAI such as LLM APIs, RAG pipelines, or agentic frameworks.
  • Working knowledge of Python and cloud deployment with Docker/Kubernetes.

Responsibilities

  • Design, build, and enhance backend microservices and REST APIs that are reliable, observable, and production-grade.
  • Run structured POCs on AI tools and evaluate against real workflows for roadmap feedback.
  • Build AI-powered tools including RAG apps and LLM-backed services.
  • Integrate LLM capabilities into existing services with retrieval, prompts, and guardrails.
  • Collaborate with senior engineers to translate AI techniques into shippable features.
  • Write clean, tested code and contribute to CI/CD, deployment, and monitoring.

Skills

Java/Spring Boot backend
Microservices architecture
REST API design
Python
CI/CD & testing
GenAI exposure

Tools

Docker
Kubernetes
AWS
Azure
GitLab
Harness
Jenkins
LangChain
LlamaIndex
ChromaDB
pgvector
FAISS
OpenSearch
LLM providers

Job description

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: $36.00 to $46.00/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.

Experience Requirements:
  • 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.
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