AIML Software Engineer

Job Title: AI/ML Software Engineer-KL-17

Location- Annapolis MD

Position Overview

We are seeking an experiencedAI/ML Software Engineerto design develop and deploy intelligent software systems that leverageArtificial Intelligence (AI)andMachine Learning (ML)to automate business processes improve user experiences and support data-driven operations.

The ideal candidate will possess strong expertise inPython developmentLLM integrationretrieval-augmented generation (RAG)chatbot developmentworkflow automation andAI model deploymentwithin a hybrid cloud environment.

This role supports the creation of production-grade AI systems including:

• Internal AI assistants
• External chatbots
• Intelligent automation workflows
• Knowledge retrieval systems
• Translation and transcription engines
• Redaction tools
• Document analysis and generation platforms

Key Responsibilities

1. AI/ML Solution Design

• Design and develop AI-enabled applications to automate narrowly defined tasks.
• Architect solutions usingLLMsembeddings andvector search.
• Select optimal AI and non-AI approaches based on business needs.
• Collaborate with stakeholders to define workflows and system architecture.

2. Chatbot & Agent Development

• Build and improveinternal AI chatbotsfor employee support.
• Developexternal conversational botsfor public-facing services.
• Implementagent-based systemsfor:
  • Knowledge retrieval
  • Research
  • Document generation
  • Data extraction

3. RAG & Knowledge Retrieval

• Buildretrieval-augmented generation (RAG)systems.
• Improve vector search relevance using:
  • embeddings
  • reranking
  • graph retrieval
• Integrate knowledge retrieval with case management systems.

4. Workflow Automation

• Develop AI-poweredRPA workflows
• Automate reporting pipelines
• Improve manual operational tasks using AI agents

5. NLP & Document Intelligence

• Build systems for:
  • Translation
  • Transcription
  • Redaction
  • Document analysis
  • PDF generation
• Apply NLP techniques for extracting structured data from unstructured documents.

6. Testing & Evaluation

• Build evaluation pipelines for AI workflows.
• Develop:
  • Unit tests
  • Integration tests
  • Synthetic datasets
• Improve:
  • Accuracy
  • Latency
  • Cost efficiency

7. Deployment & DevOps

• Deploy AI applications inhybrid cloud environments
• ManageDocker containers
• Optimize performance in limited GPU environments
• Support production deployments and updates

Required Qualifications

• Bachelors degree in:
  • Computer Science
  • Data Science
  • Engineering
  • Mathematics
  • Related discipline
• Minimum3 years of AI/ML or data science experience
• Minimum3 years of software engineering experience

Required Technical Skills

• Python
• SQL / PostgreSQL
• Docker
• Git
• REST APIs
• Vector Databases
• Embeddings
• RAG Pipelines
• Prompt Engineering
• LLM Deployment

Preferred Skills

• Neo4j / Graph databases
• Fine-tuning LLMs
• Synthetic data generation
• Hybrid cloud architecture
• React
• Microsoft Teams Toolkit
• Rust or performance-oriented languages

Soft Skills

• Strong problem solving
• Systems thinking
• Collaboration
• Technical documentation
• Agile teamwork
• Ability to work in constrained environments

Work Environment

• Remote with occasional onsite support
• Standard business hours (EST)
• Hybrid cloud infrastructure
• Cross-functional collaboration

Required Skills:

PythonSQL