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AI / ML Engineer

ABHITO LLC
Reston, VA, United States
about 2 months ago
Apply on www.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Artificial Intelligence Python (Programming Language) Large Language Models GPT

Job description

  • Design, develop, and deploy LLM-based applications and agentic AI workflows
  • Build and optimize RAG pipelines including document ingestion, chunking, embedding, and retrieval
  • Fine-tune and evaluate large language models for enterprise use cases
  • Develop AI evaluation frameworks and quality benchmarks
  • Collaborate with prompt engineers, product managers, and integration teams
  • Implement AI solutions for government and regulated industry environments

Requirements

  • 4+ years of ML/AI engineering experience
  • Hands-on experience with LLMs (Claude, GPT-4, Llama, or equivalent)
  • Proficiency with Python, LangChain, LlamaIndex, or similar frameworks
  • Experience with vector databases (Pinecone, Weaviate, pgvector)
  • Strong understanding of RAG architectures and evaluation methodologies

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Vision insurance
  • Dental insurance, * Competitive compensation
  • Health, dental, and vision coverage
  • Work at the forefront of enterprise AI

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

2:08 min

Applying large language models to infrastructure tasks

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

3:21 min

Introducing Lovable and the shift toward high-level abstraction

Fabian Hedin Fabian Hedin · World Congress 2026 Europe

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

Videos

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Creating Industry ready solutions with LLM Models thumbnail
58:00
LIVE • over 2 years ago

Creating Industry ready solutions with LLM Models

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DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21
LIVE • almost 2 years ago

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

Evaluating AI models for code comprehension thumbnail
22:03
World Congress 2025 • about 1 year ago

Evaluating AI models for code comprehension

Merrill Lutsky

Edit Your Future: Queerverse Radical AI thumbnail
31:30
LIVE • about 2 years ago

Edit Your Future: Queerverse Radical AI

Răzvan Ion

Bringing the power of AI to your application. thumbnail
32:26
World Congress 2024 • about 2 years ago

Bringing the power of AI to your application.

Krzysztof Cieślak

Speak, Code, Deploy: Transforming Developer Experience with Voice Commands thumbnail
28:37
World Congress 2024 • about 2 years ago

Speak, Code, Deploy: Transforming Developer Experience with Voice Commands

Sami Ekblad

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