AI/ML Software EngineerThe client is seeking proposals from prospective Offerors to provide one (1) AI/ML Software Engineer. The AI/ML Software Engineer will build software tools that incorporate AI/ML techniques to automate narrowly defined tasks with high accuracy, assist internal users with their job functions, and improve the experience external users have when interacting with the Client. This includes, but is not limited to, RPA work, building or refining chatbots, incorporating AI/ML into reporting tools, building llm agents for knowledge retrieval, deep research, translation, transcription, redaction, document analysis, document generation, agentic coding, and data processing.ResponsibilitiesProposed resource(s) shall be responsible for the following:Work within established constraints regarding infrastructure, programming languages, and model selectionContribute to technical decision-making related to data processing, retrieval strategies, and system integrationCollaborate with team members to define agent architectures, workflows, and system design decisionsEvaluate and select appropriate approaches for given tasks, including determining when to use LLM-based versus non-LLM techniquesDesigning and building software systems that integrate AI/ML techniques to automate tasks, assist internal users, and improve user-facing services.Assist in the design and implementation of testing and evaluation pipelines for AI/ML systemsDevelop unit and integration tests for AI-enabled workflows and data pipelinesGenerate and utilize synthetic data to support evaluation and benchmarking effortsContribute to improving system performance, including accuracy, latency, and cost efficiencySupport deployment of AI/ML applications within a hybrid cloud environmentWork with containerized applications to ensure reliable deployment and updates.Optimize systems for environments with limited computational resources, including minimal GPU availabilityDeliver production-grade systems aligned with defined requirements, while supporting iterative improvement of evolving toolsDocument system designs, workflows, and technical decisions as requiredStay informed on relevant advancements in AI/ML and apply them where appropriate within project constraintsQualificationsBachelor of Science in Engineering, Computer Science, Data Science, or Mathematics, or a related field (as determined by the CLIENT).At least three (3) years' experience in data science, machine learning, or applied AI development.At least three (3) years' experience in software engineering, architecture, or web development.Skills, Experience, & CapabilitiesExperience with:SQL and relational database systems (e.g., PostgreSQL)Fine-tuning small language models or embedding modelsContributing to or maintaining open-source software projectsGraph databases or graph extensions (e.g., Neo4j, Apache AGE)Designing and implementing multi-agent or task-oriented AI systemsEmbedding models, vector similarity, re-ranking, and graph retrieval techniques in RAG systemsVersion control systems (e.g., Git), containerization technologies (e.g., Docker), and service-oriented architecturesCollaborating with large language models (LLMs), including both API-based integration and local deploymentValidating AI-generated outputs, mitigating hallucinations, and integrating AI tools into production service pipelinesAbility to:Understand data structures, algorithms, and clean coding principlesSelect and apply appropriate techniques (LLM and non-LLM) based on task requirementsDevelop and improve testing and evaluation pipelines for AI systems, including use of synthetic dataDemonstrate proficiency in Python, including the ability to develop production-grade backend services, APIs, middleware, and data pipelines.Design and implement AI/ML systems that operate effectively on complex, inconsistent, or evolving datasets while balancing accuracy, latency, and cost (token consumption)Collaborate with team members to define system architecture, agent workflows, and data pipelines while working in constrained environments, including limited GPU availability and predefined infrastructureKnowledge of:Hybrid cloud environments and distributed system considerationsThreading, asynchronous processing, and queues in backend serversReact and Microsoft Teams Toolkit for developing chatbot user interfacesNon-llm data analysis techniques for structured, semi-structured, and unstructured dataClassical natural language processing (NLP) techniques in addition to LLM-based approachesData science and LLM-related libraries in Rust or other performance-oriented programming languages.About Our CompanyDataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US.
Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:Paid Holidays/Paid Time Off (PTO)Medical/Dental InsuranceVision InsuranceShort Term/Long Term DisabilityLife Insurance401 (K)