SR. ML Engineer

Spectraforce

Hartford, CT, United States

23 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

0 years minimum

Working hours

Regular working hours

Job source

leoforce.us

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Microsoft Azure Information Engineering IBM DB2 Relational Databases Cursor (Graphical User Interface Elements) Python (Programming Language) Machine Learning Search Technologies

+11 more

GitHub Copilot Large Language Models Prompt Engineering Spring-boot Generative AI AI Platforms Pyspark Machine Learning Operations Virtual Agents Api Design Legacy Systems

Requirements

5+ years of experience as a Software Engineer or Java Developer in enterprise environments.
Strong experience with Java and Spring Boot.
Experience with Python and PySpark for data engineering and AI/ML workloads.
Strong API development experience (REST required).
Experience designing, developing, or integrating AI/ML solutions in production environments.
Knowledge of Generative AI technologies, including LLMs, prompt engineering, RAG architecture, vector databases, and AI agent frameworks.
Experience consuming AI services through APIs (OpenAI, Azure OpenAI, Vertex AI, Anthropic, or similar platforms).
Familiarity with MLOps concepts, model deployment, monitoring, and governance best practices.
Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar technologies.
Strong problem-solving skills and ability to work effectively within a fast-paced Agile environment.

Preferred Qualifications

Experience working with relational databases (DB2 preferred).
Experience building enterprise AI applications using LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
Experience implementing AI governance, security, and responsible AI practices.
Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector Search.
Experience modernizing legacy systems and integrating AI-driven business processes.
Knowledge of financial services, commissions, brokerage, or enterprise compensation platforms.

Years of Experience: 14.00 Years of Experience