Job Title: AI/ML Engineer
Location: Reston, VA (Hybrid)
Duration: 12 months
 
Must be a US Citizenship or Green card preferred
 
Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets.
 
Job Summary
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy modern AI solutions. This role blends front end and back end engineering with Generative AI, RAG pipelines, ML model development, MLOps, and enterprise scale cloud deployment.
You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into production grade AI-powered software solutions. The ideal candidate brings strong software engineering fundamentals combined with hands on experience developing and operationalizing AI/ML solutions on Microsoft Azure.
 
Major Responsibilities

• Build Generative AI & Retrieval-Augmented Generation LLM Applications
• Build LLM powered applications for text generation, summarization, Q&A, conversational AI, and enterprise knowledge search.
• Develop RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data.
• Implement Azure OpenAI, Cognitive Search, and related services to build secure, compliant GenAI solutions.
• Integrate LLMs into backend applications, microservices, and enterprise platforms.
• Optimize prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency.

AI Agents & Agentic Automation

• Design and implement single agent and multi agent systems for intelligent automation and decisioning.
• Build autonomous and semi-autonomous agents that perceive, plan, act, and interact with tools, APIs, and event-driven systems.
• Develop agentic workflows for complex enterprise processes using Azure and modern orchestration frameworks.

ML Model Based AI (Classical ML & Deep Learning)

• Design, develop, and deploy classical ML and deep learning models using platforms such as Azure Machine Learning, PyTorch, and Scikit Learn.
• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization.
• Ensure resilience, scalability, and lifecycle management for all production models.
• Work with large-scale datasets, performing data preprocessing, feature engineering, and model validation.
• Deploy AI models using cloud-based platforms such as Azure AI/ML,.
• Ensure AI/ML solutions align with enterprise security, compliance, and governance standards.

 
Education and Experience Requirements:

• Requires bachelor's degree (or international equivalent) and 7 + years of relevant experience or 11+ years of relevant work experience without degree
• 3-5 years of experience in AI/ML development, including designing and deploying ML models.
• Good knowledge and understanding of RESTful API principles.
• Good understanding of relational databases and querying using SQL.
• Strong software engineering background (Python, REST APIs, microservices, event-driven systems).
• Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake.
• Experience building RAG systems, vector embeddings, and knowledge retrieval pipelines.
• Proficiency in big data processing technologies such as Databricks, Azure Data Factory, or Kafka.
• Experience with multi-agent systems or agentic AI orchestration frameworks.
• Background in NLP, computer vision, or advanced deep learning architectures.
• Experience with vector databases (Azure AI Search vector store).
• Expertise in AI/ML frameworks like PyTorch, Keras, or Scikit-learn.
• Experience with NLP, Computer Vision, Deep Learning, and Generative AI models.
• Strong knowledge of MLOps, CI/CD for AI model deployment, and containerization (Docker, Kubernetes).
• Familiarity with data engineering, ETL pipelines, and SQL/NoSQL databases.
• Experience working in an enterprise environment with large-scale AI deployments.
• Strong analytical, problem-solving, and communication skills.

 
Preferred Skills:

• Experience with the Microsoft Agent Framework, Azure AI Foundry and Agent Service, Microsoft 365 Agents SDK/Toolkit, Semantic Kernel (including AutoGen convergence), RAG and vector based retrieval pipelines for agents, and enterprise grade agent tooling and integrations. based retrieval pipelines for agents, and enterprise grade agent tooling and integrations.
• Experience in Multiagent orchestration patterns, Advanced retrieval for agents: GraphRAG, structured data tools (NL2SQL), and domain specific agents. agent orchestration patterns specific agents

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 61.10/hr.