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Qdrant Jobs in Indiana (NOW HIRING)

Python web/API development (FastAPI, Flask, Django) Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate) LLM ...

Vector databases such as pgvector, Chroma, Pinecone, Weaviate, or Qdrant. * Docker and containerized deployments. * Kubernetes orchestration. * Azure AI infrastructure and GPU environments. * CI/CD ...

Qdrant information

What is the difference between Qdrant vs Data Scientist?

AspectQdrantData Scientist
Required CredentialsTechnical certifications, knowledge of vector databasesDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI-focused firmsResearch labs, tech companies, consulting firms
Industry UsageAI, machine learning, data storageData analysis, predictive modeling, research

Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.

What cities in Indiana are hiring for Qdrant jobs? Cities in Indiana with the most Qdrant job openings:

Artificial Intelligence Specialist

L3HHCM20

Fort Wayne, IN • On-site, Remote

$109K - $203K/yr

Other

Medical, Retirement, PTO

Posted 29 days ago


Job description

Job Title: Artificial Intelligence Specialist

Job Code: 38585

Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX OR Herndon, VA

Job Schedule: 9/80 (Every other Friday off)

Job Description:

L3Harris is seeking an AI Specialist to support the Space and Mission Systems (SMS) segment AI team serving all SMS sectors. The AI Specialist will design, deploy, and maintain AI-enabled applications both in unclassified and secure containerized environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform engineering, and DevSecOps in a mission-critical defense environment.

Qualifications:

Ability to obtain and maintain a DoD Secret clearance is required
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related technical field and a minimum of 6 years of prior relevant experience; Or, Graduate Degree with a minimum of 4 years of prior related experience
4+ years of experience in at least one programming language (Python preferred)

Preferred Additional Skills:

Working knowledge of Linux (RHEL/AlmaLinux preferred; Ubuntu acceptable)
Hands-on experience with containerization (Docker/Podman), Git (Bitbucket/GitLab), and basic SQL / relational databases (PostgreSQL, MySQL, etc.)
Familiarity with at least one major cloud provider (AWS or Azure) and Agile tools (Jira, Confluence)
Ability to comply with export-controlled (ITAR/EAR) and Controlled Unclassified Information (CUI) handling requirements
LLMs and Generative AI; RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django)
Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate)
LLM evaluation tooling (RAGAS, DeepEval, promptfoo); observability (LangSmith, Phoenix); coursework or project experience in machine learning, NLP, or deep learning
GitOps/DevSecOps concepts and toolchains; CI/CD authoring (Bitbucket Pipelines, GitLab CI); JFrog Artifactory; Microsoft Entra ID app registrations and Graph API in GCC High
Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF) or OWASP Top 10 for LLM Applications
Experience deploying AI in classified or highly regulated environments, including familiarity with AI ATO processes, data governance requirements, and secure AI infrastructure (on-prem, air-gapped, or GovCloud)
Direct experience with AI-assisted software development tools and agentic coding frameworks (e.g., Claude Code, GitHub Copilot, Cursor, Codex) including measuring productivity outcomes
Background in defense, aerospace, or adjacent mission-critical industries, with experience navigating the unique constraints of delivering AI in program-of-record environments

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $109,500-$203,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $95,000-$177,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

The application window for this requisition is anticipated to close September 01, 2026.

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