Job Title : AI / ML Backend Developer
Location : Washington DC (Onsite)
Contract / Fulltime
Job Summary
The ideal candidate should have a solid background in backend development, AI / ML orchestration, and data management, with hands-on experience in Generative AI and Agentic Al frameworks. They will be responsible for building REST APIS, managing data pipelines, and implementing AI / ML solutions such as retrieval-augmented generation (RAG), intent detection models, and autonomous AI agents to deliver intelligent, production-ready solutions.
Key Responsibilities :
Agentic AI Development : Design and orchestrate AI agents capable of reasoning, planning, and executing multi-step tasks by integrating LLMs with APIs, tools, and data sources.
Data Pipelines : Design and manage robust data ingestion and transformation pipelines to feed Al models.
Intent Detection & NLU : Develop or integrate intent detection models and natural language understanding (NLU) solutions to enhance conversational AI. Prompt Engineering & Optimization : Create and optimize prompts for LLMs to improve response quality and reduce latency,
AI Integration : Collaborate with frontend and product teams to embed Gen Al features into enterprise applications
Required Skills :
AI / ML Orchestration : Strong expertise in Python with a focus on machine learning, large language models (LLMs), AI orchestration.
Agentic AI Expertise : Experience in building autonomous AI agents using frameworks like OpenAI Functions, or custom orchestration solutions to handle tool use and multi-step reasoning.
Generative AI Expertise : Generative Al models (text generation, summarization, conversational AI) and applying prompt engineering techniques.
Data Management : Solid understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases; ability to design efficient data access patterns for AI workloads.
RAG Implementation : Proven experience implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, or other vector databases.
Data Pipelines : Hands-on experience building and managing data ingestion and transformation pipelines using Databricks,
Azure Data Factory, or equivalent tools. Intent Detection & NLU : Skilled in developing or deploying intent detection models and natural language understanding (NLU) components for conversational AI applications.
Preferred Skills :
SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.
Backend Developer • DC, WA, United States