Yochana · 13 hours ago
AI Engineer
Troy, MI
Contract
Onsite
Senior Level
6+ years expYochana is a company looking for an AI Engineer to develop, integrate, and deploy AI components. The role involves working with modern frameworks to implement LLM applications, evaluate models, and ensure the performance of AI agents and applications.
Business Information SystemsInformation and Communications Technology (ICT)Information ServicesInformation TechnologySoftwareStaffing Agency
Hiring Manager
M Raju
Responsibilities
Develop, integrate, and deploy AI components including RAG pipelines, vector search, embeddings workflows, vector stores, and AI agents (tool/function calling, multi-step reasoning, workflow orchestration) using modern frameworks and best practices for production systems
Implement LLM applications using LangChain and LangGraph (or equivalent orchestration frameworks), including tool/function calling, multi-step workflows, guardrails, and evaluation
Evaluate and select models, embedding strategies, vector database options, and deployment approaches based on performance, cost, latency, reliability, and scalability requirements
Build and maintain model lifecycle capabilities including experimentation, versioning, packaging, deployment, and monitoring using MLflow (or equivalent) and robust MLOps/LLMOps practices
Integrate AI services into enterprise platforms using cloud-native patterns on Azure/AWS, including containerized deployments and scalable inference endpoints
Design and operate CI/CD pipelines for AI services, ensuring code quality via automated testing, reproducible builds, and environment parity
Verify, monitor, and optimize the performance of AI agents and chatbot/GenAI applications (model quality, drift, latency, retrieval relevance, agent success rates), and implement remediation strategies (retraining, prompt/model updates, rollback)
Evaluation for RAG/agents (retrieval quality, grounding, hallucination rate, task success rate) and continuously improve performance through iterative experimentation
Design, build, and operate agentic solutions for enterprise and manufacturing use cases, including retrieval, planning, tool execution, and safe-action constraints (guardrails, allowlists, human-in-the-loop where needed)
Work closely with data engineers and the cloud and DevOps team to produce, scale, and operate AI services
Collaborate with enterprise architects and domain experts to align AI/ML solutions with business needs and technical strategy
Ensure compliance with internal governance and IT security standards and apply Responsible AI principles (privacy, traceability, human-in-the-loop where appropriate, auditability)
Qualification
Required
Degree in Computer Science, Data Science, or a similar field
Strong fundamentals in software engineering, data structures/algorithms, statistics, and machine learning principles
6–7 years of overall experience
3–4+ years hands-on delivering AI/ML and/or GenAI solutions (training/inference pipelines, RAG/agents, deployment, monitoring, iteration) in production
Strong Python engineering skills; ability to build clean, testable, production-grade services and libraries
Generative AI: LangChain, LangGraph, prompt engineering, retrieval-augmented generation, embeddings, and LLM evaluation/observability concepts
Deep learning/ML frameworks: PyTorch and/or TensorFlow; applied experience with model training, fine-tuning, evaluation, and optimization
MLOps/LLMOps: MLflow (or equivalent), model registry/versioning, reproducibility, monitoring, and operational readiness
Cloud: hands-on implementation on Azure, AWS, and Databricks (IAM/security, networking basics, managed compute, storage, logging/monitoring)
Containers and orchestration: Docker, Kubernetes(or equivalent deployment tooling)
CI/CD: Git-based workflows, automated testing, build pipelines, release management, and quality gates
Strong communication skills and cross-functional collaboration; ability to translate ambiguous business needs into clear technical deliverables
Preferred
Hands-on experience with cloud-native platforms (Azure/AWS) and container orchestration (Kubernetes, Docker) is an advantage
Hands-on experience with Databricks (Azure Databricks and/or Databricks on AWS) for large-scale data processing, model training, and production pipelines
Experience with vector databases (Azure AI Search, OpenSearch, pgvector, DBX Vector Search, or equivalent)
Experience with CI/CD, automated testing, and code quality best practices
Company
Yochana
Yochana: Your Trusted Workforce Partner Across North America & Beyond For over 16 years, Yochana has been a leading talent acquisition firm, connecting businesses with top professionals across industries.
201-500 employees
H1B Sponsorship
Yochana has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (21)
2024 (11)
2023 (3)
Funding
Current Stage
Growth StageLeadership Team
Anusha Sharath
Global Talent Acquisition Lead / HR-BP
Recent News
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