Software Engineer (Hybrid) - 29301

Enlighten

Columbia (MD)

Hybrid

USD 137,510 - 195,000

Full time

14 days+

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Benefits offered by this job

Healthcare premium
401k 10%
PTO + 10 holidays
Education/training allowances

Job summary

Enlighten, a leader in big data solution development, seeks a Senior Software Engineer focused on AI integration. You will build the agentic platform for the Data Lake tool, primarily in Python, and orchestrate deployments with Kubernetes.

You’ll design MCP servers, create reusable AI skills, and coordinate with teams to expose APIs for AI agents. You will ensure robust security, data privacy, and prompt defenses while working in a hybrid environment with regular in-person collaboration in

Qualifications

  • 9 years of software engineering with strong Python backend focus
  • Bachelor's in a related field; advanced degrees preferred
  • Kubernetes proficiency with containerized workloads
  • Experience integrating commercial LLM APIs or open-source models
  • Understanding of enterprise APIs, RESTful services, and microservices
  • Experience in leadership roles within engineering teams
  • Hybrid work experience with in-office Columbia, MD presence

Responsibilities

  • Design and develop Python-based components for the agentic platform
  • Deploy, manage, and scale applications in Kubernetes environments
  • Build MCP servers and reusable AI skills with safe interactions to internal data sources
  • Collaborate to expose Java-based APIs to AI agents
  • Implement enterprise AI guardrails for data privacy and safety
  • Maintain testing pipelines for non-deterministic AI outputs
  • Mentor and guide engineers to drive senior-level impact
  • Other duties as assigned

Skills

Python backend
Kubernetes
AI integration
RESTful APIs
Microservices
Leadership
Linux CLI

Education

Bachelor's degree in related field
Master's degree in related field
High School Diploma with extensive experience

Tools

Docker
Git
CI/CD pipelines
LangChain
K8s tooling
PostgreSQL

Job description

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges.

We recognize that the most effective environment for your projects doesn’t always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results.

Why Enlighten?
  • 100% paid employee premium for healthcare, vision and dental plans.
  • 10% 401k benefit.
  • Generous PTO + 10 paid holidays.
  • Education/training allowances.

Anticipated Salary Range: $137,510.00-$195,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process.

Job Description

Enlighten is a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Senior Software Engineer to join our team to help build foundational AI integration frameworks and agentic platforms.

As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the agentic platform for our proprietary Data Lake tool, JCRSD. This role is primarily focused on Python-based components and requires strong container orchestration skills to ensure seamless deployment.

This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure, scalable framework that allows our platform to seamlessly leverage AI. You will build Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and coordinate with disparate internal teams to expose their APIs to our autonomous agents. If you are a self-motivated, creative software engineer who loves Python, Kubernetes, and treating AI as a complex software integration problem, we would love to hear from you.

#LI-DS1 #Mid-Senior Level

Essential Job Responsibilities
  • Design and develop Python-based components for our core agentic platform.
  • Deploy, manage, and scale applications within Kubernetes (K8s) environments efficiently right out of the gate.
  • Build Model Context Protocol (MCP) servers and a library of reusable 'skills' (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs.
  • Collaborate with cross-functional teams to help them expose their Java-based APIs to our AI agents.
  • Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements.
  • Maintain an inquisitive nature, responsiveness, and excellent testing skills (including automated testing pipelines for non-deterministic AI outputs).
  • Possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines in a fast-paced, small-business environment.
  • Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact.
  • Other duties as assigned.
Minimum Qualifications
  • Clearance Requirement: Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required.
  • 9 years of experience in Software Engineering, with a strong focus on Python backend development and a Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience.
  • Kubernetes Proficiency: Demonstrated, hands-on experience deploying and managing containerized workloads in Kubernetes (K8s).
  • Applied AI Experience: Hands-on experience integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into production backend applications.
  • AI Concepts: Demonstrated understanding of modern applied AI concepts such as prompt engineering, agents, function-calling/tool-use, and Retrieval-Augmented Generation (RAG).
  • Experience in designing enterprise APIs, RESTful web services, and Microservices architecture.
  • Experience with configuration management tools (e.g., Git, CI/CD pipelines, Docker).
  • Comfortable working on a Linux command line.
  • Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams.
  • Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.
Preferred Requirements
  • Current Clearances: Active Secret or Top Secret clearances are a strong plus.
  • Java Interoperability (Plus): Familiarity with Java frameworks (e.g., Spring) or Java-based software capabilities to assist disparate teams in connecting their components to the agent platform.
  • Familiarity with Python-based AI integration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen).
  • Experience with Vector Databases, semantic caching, and AI observability tools.
  • Experience with NiFi, Kafka, and cloud-based infrastructure (AWS, Azure).
  • Experience in SQL databases (e.g., Postgres, MySQL), distributed databases, or NoSQL databases.
  • Prior experience or familiarity with Big Data Platforms or Data Lake architectures.

We have many more additional great benefits/perks that you can find on our website at www.enlighten.com.

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